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INNOVATION MANAGEMENT
Jiří [email protected]
Department of Management, Innovations and Projects
UWB, Faculty of EconomicsSummer semester 2009/10
Lesson 1
Introduction
Basic concepts
Importance of innovations
CHARACTERISTICS OF SUCCESSFUL INNOVATING COMPANIES - 1
• Systematic collection of all impulses that could lead to innovation
• Creativity of employees
• Ability to evaluate the possibility of the innovation idea
• Good team work
• Project-based approach and ability to manage projects
CHARACTERISTICS OF SUCCESSFUL INNOVATING COMPANIES - 2
• Cooperation with external experts (universities, research laboratories…)
• Proper rate of risk-taking
• Employees’ motivation (the employees are willing to improve the product and the operation of the whole company)
• Continued education of employees
• Ability to finance the innovation activities
Definition of innovation - 1
• “Technological innovations are defined as new products and processes and major technological modifications to products and processes. An innovation is considered performed if it is introduced to the market (product innovation) or implemented in the production process (process innovation). Innovation includes many research, technological, organizational, financial and commercial activities.
Definition of innovation - 2
• R&D represents only one of these activities and can take place during various stages of the innovation process. It can play not only the role of the original source of the innovation ideas but also the role of problem solution framework, which can be turned to at any stage of the implementation.„
OECD, Frascati Manual 1992
Oslo Manual• Product innovation
– A good or service that is new or significantly improved. This includes significant improvements in technical specifications, components and materials, software in the product, user friendliness or other functional characteristics.
• Process innovation– A new or significantly improved production or delivery method. This
includes significant changes in techniques, equipment and/or software.
• Marketing innovation– A new marketing method involving significant changes in product
design or packaging, product placement, product promotion or pricing.
• Organisational innovation– A new organisational method in business practices, workplace
organisation or external relations.
• Technological innovations – based on specific technology, invention, discovery,
• Social innovations – in critical historic periods more important than technological ones (mail, educational systém, social systém, health care, …)
DEGREE OF NOVELTY
• Incremental innovations
• Radical innovations
• Systemic innovations
Classification of innovations
SYSTEM New series of cars, planes, computers, TV
New generation (MP3 and download as substitution of CD)
Steam engine, ICT, biotechnology, nanotechnology
COMPONENT
Improvement of components
New components for existing systems
Advanced materials improving component properties
INCREMENTAL
„do better what we already do“
„new for the company“
RADICAL
„new for the world“
INNOVATION PROCESS
• Research and development (R&D)
• Production
• Marketing
Innovation is an opportunity for something new, different. It is always based on change.
Innovators do not view any change as a threat but as an opportunity
FOCUS
• Use the limited resources in the most effective manner; focus on one of the following:– Operational output – Top-quality products – Perfect knowledge of customers
RECOMMENDATIONS
• Solve the correct problem correctly – be effective and efficient
• Manage innovation as a project
• Analyze risks
• Use models, scenarios, computer simulation
• Study examples of succesful and unsuccesful innovation projects
WHAT TO DO
1. Start with analysis and study of opportunities.
2. Go among people, ask questions, listen
3. Effective innovations are surprisingly simple. They must be focused on specific needs and on specific final products.
4. Effective innovation start on a small scale.
5. A successful innovation always tries to win a leading position, otherwise you create opportunities for your competitors.
WHAT TO AVOID
1. Don’t try to be too “clever”. All that is too sophisticated will almost certainly go wrong.
2. Don’t try to do too many things at once. Focus on the core of the problem.
3. Don’t try to make innovations for the future but for today. An innovation can have a long-term impact but there must be an immediate need for it.
Three conditions for innovations
1. Innovation means work, hard, concentrated and thorough work. If these qualities are lacking then there is no use for the big talent, cleverness or knowledge.
2. Successful innovations must build on your strong points. The innovation must be important to the innovator.
3. Innovation must focus on a market, must be controlled by the market (market-pull).
CASE STUDIES
Linet Želevčice
• Hospital products• Hospital beds, intensive care beds, medical
furniture and other equipment increase the comfort of patients and help the nurses.
• Nursing-care products• Nursing beds, bed accessories, bedside
cabinets, mattresses and other furniture.
No comment …
1990
2005
TOSHULIN
Development of new machines:
1. Customized – the machines developed for the specific customer according to its requirements – market pull
2. Prototypes – there is no specific customer – market push
8 ,56 ,8
8 ,86 ,9
1210 ,7 10 ,8
9 ,6 9 ,5
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25 ,7
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28 ,8
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9 ,5
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0
5
10
15
20
25
30
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1998 2000 2002 2004 2006
time of delivery (inmonths)
customization coeffi cient(%)
Types of design engineers
spouter of ideas
suggests designs and problem
solutions without detailed
consideration of all possible results and
consequences
system designer
examines all ideas and thoughts systematically
finisher of ideas
elaborates independently in details the ideas which he gets to
elaborate
routine engineer
efficient and reliable engineer; however, without
creative approach
attendance engineer
performs routine tasks
[1%] [5%] [54%] [30%] [10%]
Connective
tissue
products
RNDr. Vladimír Velebný, CSc.
Contipro
167 employees
sales (2008) – 242 mil Kč
export – 98% of total sales
one of the biggest produces of
hyaluronanu inthe world
30% of the world market
60% of the European
market
Customers in 43 countries
Holding – current state
Sales in regions
1. Maximum attainable quality
2. Sharing expenses with customers
3. Development of original products
3 pillars of success
3M and post-it notes
http://www.3m.com/us/office/postit/pastpresent/history_ws.html
More about 3M
A Century of Innovation The 3M Story
http://solutions.3m.com/wps/portal/3M/en_US/About/3M/
iGO – distribution of bateries
• Bateries and accessories for notebooks, mobiles, cameras and other equipment
• Vision: to develop and sell simple and elegant solutions, facilitate the use of electronic devices
• online catalogue, e-commerce, CRM • Customer - targeted marketing, flexibility • Growth of sales by 80% in the first year, by
100% in the following yearhttp://corporate.igo.com/about_us.aspx
Adaptors
• Patented technology iGo Technology, powering of mobile electronic devices using single (universal) adaptor;
• Power Technology Patent Brochure (PDF)
Bang & Olufsen • www.bang-olufsen.com • VISION: „Courage to constantly question the ordinary in
search of surprising, long-lasting experiences.“• Founded in 1925 in Struer, Denmark, Bang & Olufsen a/s is
world renowned for its distinctive range of quality audio, video and multimedia products that represent our vision: Courage to constantly question the ordinary in search of surprising, long-lasting experiences. Bang & Olufsen employs over 2.550 staff members and had a turnover of DKK 4.092 million (EUR 548,6 million) in the 2007/2008 financial year.
• Bang & Olufsen manufactures a highly distinctive and exclusive range of televisions, music systems, loudspeakers, telephones, and multimedia products that combine technological excellence with emotional appeal. Bang & Olufsen products are sold by over 1.200 dealers in more than 100 countries in an extensive network of retail stores. Approximately 65% of these stores are B1-stores, which exclusively sell Bang & Olufsen products. The B1 stores account for 81% of the total turnover.
• Production also in the Czech Republic
Bang & Olufsen – products
More case studies
• IBM Case Studies: http://www.ibm.com/search/?en=utf&v=14&lang=en&cc=us&lv=c&q=case+study+innovation&x=13&y=5
• Industry podcasts: Midsized clients and experts in seven industries share their insights - http://www-1.ibm.com/businesscenter/smb/us/en/mbpodcasts?&ca=smbIndustryPodcasts101706&tactic=&me=W&met=inli&re=smbibmcomTopPagesIndustriesPromo1usen101706
More case studies
• Sustainable energy (hydrogen, fuel cells, biofuels, zero emission, … http://ec.europa.eu/research/energy/nn/nn_pu/article_1078_en.htm
• http://www.zoner.com/ • http://www.kerio.com/
The most important innovations in last 30 years
• http://www.pbs.org/nbr/site/features/special/subdir/top-30-innovations_slide-show/
Lesson 2
Disruptive and open innovations
Innovation categories
• sustaining – better products that can be sold with higher margin to demanding customers; incumbents win
• disruptive – commercialization of simpler, more user-friendly products, which are chepaer and targeted to new or less demanding customers; new entrants win
Key elements of disruption
• Customers at each market has limited absorption capacity
• Technological progress usually is faster that the ability of the market to employ it. Companies focus on better products to be sold with higher margin to unsatisfied customers.
Sustaining vs. disruptive
• Sustaining: focused on demanding customers; both incremental and radical. Incumbents have resources and motivation.
• Disruptive: introduce products and services not as advanced as existing ones, but offering other advantages (simpler, cheaper, more user friendly, ...) and focus on new or less demanding customers.
Clayton M. Christensen: The Innovator´s Solution, Harvard Business Press, 2003
• Due to technological progress the trajectory of the disruptive innovation after some time crosses the trajectory of demands of more demanding customers and starts to replace incumbents who are not principally ready to react adequatelly, as they are motivated to suceed at „better“ markets, not to defend themselves on „inferior“ ones.
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Conditions of success - 1
• Disruption is successful, as it is easier to defeat competition that tries to escape than the competition who fights
• Innovation must be disruptive for all companies in the industry
• Ex. Internet – for Dell sustaining, they sold computers formerly by mail, phone, etc.
Conditions of success - 2
• Following the trajectory upwards to market tiers where it is possible to attain higher margins is what good manager is expected to do.
• Each company therefore prepares its own disruption. This is the innovator´s dilemma, but also the start of innovator´s solution.
• The advice to new, growing firms: focus on products and markets ignored or neglected ba incumbents.
Two types of disruption
• New markets: compete with non-consumption: simpler, more user frindly, can be used by less sophisticated customers (PC, transistor radio, desk copiers).
• Low-end: focus on lower tiers of main markets (minimills, discount stores, Korean auto-makers); motivate incumbents to leave the market
OPEN INNOVATION
• Chesbrough, H., “Open Innovation”, Harvard Business School Publishing, Boston MA, 2003
• Closed innovation - requires control • Open innovation
– companies use external as well as internal ideas and both external and internal ways to market
– internal ideas can be taken to the market through external channels to generate additional value
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- 4
1
Closed innovation Open innovation
All the best people are working for us Not all the best people are working for us . We must work with clever people within and outside our company.
R&D creates profit only when we invent, develop and market everything ourselves.
External R&D can create remarkable value; to employ it, we need absorption capacity, often as internal R&D.
If we develop the product ourselves, we will be the first on the market.
R&D can create profit even if we do not initialize and perform it ourselves.
Winner is who gets the innovation to the market first.
To develop better business model is more important than to be the first in the market.
We will win if we develop most of the ideas (an the best of them).
We will win if we make best use of internal and external ideas.
We must have our intellectual property under control so that our competitors can make advantage of it.
We must be able to profit from others using our intellectual property and we must license the intellectual property if it supports our business model.
Closed innovation Open innovation
Examples: nuclear industry, mainframe computers
Examples : PC, movies
Mostly internal ideas Many external ideas
Low workforce mobility High workforce mobility
Low role of the venture capital Active venture capital
Few new businesses, weak ones Many new businesses
Universities are not important as the sources of ideas
Universities are not important as the sources of ideas and people
Business model • Formulate value proposition, i.e. the value delivered
to the customer by the product based on specific technology.
• Identify market segment, ie. users to whom the technology brings value and performs the job to be done.
• Define structure of the value chain, required for the product creation and distribution. Value creation is necessary, however not sufficient condition of profitability; value creation is conditioned by:
– balance of forces among our business, suppliers and competitors
– presence of complementary assets (e.g. in production, distribution, etc.) necessary for supporting the company position in the value chain.
Business model– cont´d
• Specify the mechanism of profit creation and evaluate product cost structure and target margin
• Describe the company position in the value network that connects suppliers and customers, including identification of potential alternative producers and competitors.
• Formulate competitive strategy enabling to the innovative company to gain and keep competitive advantage.
Product architecture
Hierarchy of connections between disparate functions within a
system
Interdependent Architecture
System
Component A
Component B
Component C
Interdependent Architecture
• changing one component requires changes in all other parts of the system, because the relationships between the parts are not clearly understood
• can be best managed through internal processes
Modular Architecture
System
Component A
Component B
Component C
Modular Architecture
• components could change without causing any change in other components
• modular design enables to assemble system more easily, from “plug and play” components whose interfaces are well understood
• modular architecture makes it easy for many companies to innovate components without worrying about possible impact on other parts of the system
IMPLICATIONS FOR NPD
• extended circle of company stakeholders - customers, NGOs, local and regional governments
• not only superior quality, but also environmentally friendly, aesthetically appealing new products
• designed for X, where X can be quite large and multi-faceted set
• after-sale service plays an increasing role – and brings increased turnover and profit
Lesson 3
Assessment of company innovation potential
COMPANY INNOVATION POTENTIAL
A company with high innovation potentialscores high in the following areas: • Strategy and planning • Marketing• Technological process• Quality management• Logistics• Human resources
INNOVATION POTENTIAL ASSESSMENT
• For a company, it is important to know its innovation potential. It can use the questionnaire
• For every of the six areas, there are six question, each with four possible answers. The answers are formulated so that they reflect the existing situation in the company.
A. STRATEGY AND PLANNING
1. Idea about the company future
2. Vision and employees
3. Company innovation programs
4. Plan modifications
5. Financial indicators of the plan
6. Project management
B. MARKETING
1. Monitoring of current market trends 2. Evaluation of the market competition
position 3. Customer-orientation4. Monitoring of customers’ attitudes to
the company product 5. Market information flow inside the
company 6. Marketing and financial control
C. TECHNOLOGICAL PROCESS
1. Future company’s competitiveness in the industry
2. Changes of technologies
3. Collection of impulses for implementation of technology changes
4. Evaluation of the return on investment
5. Calculation of production costs and their monitoring
6. Creation of resources for development
D. QUALITY, ENVIRONMENT
1. Monitoring of changes conditioning the quality management in the company
2. Employees’ personal contribution to the quality system
3. External quality audit in the company 4. Monitoring of the environmental impact5. Impact of quality monitoring on the company
processes6. Covering of costs resulting from modifications of
standards, regulations and legislation in the sphere of quality and environment
E. LOGISTICS
1. Organization of purchase and distribution channels in the company
2. Optimization of the company logistics 3. Information and communication flows between
the company and its partners 4. Flexibility of logistics processes 5. Introduction of innovations in logistics 6. Logistics and financial control
F. ORGANIZATION AND HUMAN RESOURCES
1. Employees satisfaction
2. Employees motivation
3. Management and communication
4. Conflict resolution
5. Company information system
6. Company culture
Innovation potential assessment
1,01,52,02,53,03,54,0
A
B
C
D
E
F
Innovation potential assessment
1,0
2,0
3,0
4,0Strategy
Marketing
Technology
Quality
Logistics
People
ABCDEF
Lesson 4
STRUCTURING THE NEW PRODUCT DEVELOPMENT PROCESSES
EVALUATION OF THE NEW PRODUCT DEVELOPMENT AND R&D PROJECTS
HOW TO SELECT THE PORTFOLIO OF NEW PRODUCT DEVELOPMENT PROJECTS
STRUCTURING THE NEW PRODUCT
DEVELOPMENT PROCESSES
The objectives of process models
Stage-gate process
• R. Cooper, 1960´s• phases with inputs and outputs specified
beforehand• gates, in which the gatekeepers decide
about the continuation of the process• Activities were standardized and the
indicators of the process performance significantly improved.
2-nd generation SG process
Evaluation criteria
• Operational, realistic, differentiating
• Must meet: to kill not well proceeding projects as soon as possible
• Should meet: prioritization, support of portfolio management
• Strategic buckets: resources allocated to various strategic goals
Interdisciplinary view
Fuzzy Front End (FFE, FEI)
• quality of pre-development phases significantly influence the product success
• early phases to a large extent influence, which projects will be realized, why, what will be final costs, time, and – in the end – the final success in the market
• highly dynamic, not strictly documented, creativity competes with systemization.
Phase 0
• results in product concept, including preliminary identification of customer requirements, market segments, competitive position, business opportunity and compliance with strategy
Incremental vs. radical innovations
• Koen: systematic approaches using process models can be successful in the case of incremental innovations, where both business and technical uncertainty is rather low
• whenever at least one of those uncertainties is high, we need more flexible approaches with iterations and parallelization of activities
• successful radical innovations often use rapid or virtual prototyping even in the 0-th or 1-st phase, as it allows better visualization and communication of the product concept.
New concept development model • in the early phases it is not suitable to use the
same approaches as in the later, more structured process phases
Difference Between FFE and NPDFuzzy Front End (FFE) New Product Development (NPD)
Nature of Work Experimental, often chaotic.“Eureka” moments. Can schedule
work—but not invention.
Disciplined and goal-oriented with a project plan.
Commercialization Date
Unpredictable or uncertain. High degree of certainty.
Funding Variable Budgeted.
Revenue Expectations
Often uncertain, with a great deal of speculation.
Predictable, with increasing certainty, analysis, and documentation as the product release date gets closer.
Activity minimize risk and optimize potentialMultifunction product and/or process
development team
Measures of Progress
Strengthened concepts. Milestone achievement.
New concept development model (NCD) Technology push
Market pull
NCD components
• Engine: represents management support
• Engine powers the five elements of the NCD model
• The engine and the five elements are placed on top of the influencing factors.
Technology stage-gate process (TSG)
• Management of high-risk projects within and at the transition between the fuzzy front end and new product development
• traditional SG: gates are transparent, the product development team can "see" all the deliverables at the gates
• TSG: gates are opaque, the team can only "see" to the next gate and understands that the deliverable may change as the technology is developed
Traditional and technology stage-gate processes
EVALUATION OF THE NEW PRODUCT DEVELOPMENT AND R&D PROJECTS
Stage-gate process
IDEA Gate 1Idea screening
Stage 1Preliminary evaluation
Gate 2Detailed evaluation
Stage 2Product definition
Gate 3Decision to develop
Stage 3Development
Gate 4Decision to test
Stage 4Testing
Gate 5Decision to commercialize
Stage 5Commercialization EVALUATION
Project feasibility
• The stage-gate model divides the innovation process into five stages with gates, in which evaluators decide if to continue or kill the project.
• Each phase has its cost, duration and probability of success. Usually only the last stage generate profits.
• To justify the project development cost, we should prove at the very beginning its feasibility. Traditionally we have to show that the project net present value is greater than zero, i.e. that the whole project, taking into account the time value of the money, will generate net profit.
DCF methods
• The generally accepted method of evaluation of investment, is based on discounted cash flows (DCF).
• The method is successfully used for investment projects with low level of uncertainty and duration from several months up to few years.
• In many cases it is not suited to long-term NPD and R&D projects, as it penalizes projects with high risk and potentially valuable projects can be rejected or terminated.
Weakness of DCF methods
• Do not take into account the typical nature of the NPD and R&D projects that can be divided into stages separated by gates, deciding about project continuation or termination.
• Financial models assume that the decision about the project realization is done at its very beginning and is irreversible. However, investments into NPD or R&D projects are incremental and the evaluators at the gates decides about the project fate on the basis of changing situation.
Project Expected Commercial Value (ECV)
• Takes into consideration all three important characteristics of each phase – its cost, duration and probability of success
• The project is modeled by the probability tree.• The stage duration, together with the discount
rate, is reflected in the net present value calculation.
• Illustration: project with only two stages – development and commercialization
DevelopmentD ECV
YES
NO
Successpd
Failure
CommercializationC
YES
NO
SuccesspC
Failure
PV
ECV = project expected commercial valuepd = probability of successful developmentpc = probability of successful commercializationD = development costsC = commercialization costsPV = net present value of expected project earnings
ECV = [(PV * pc – C) * pd] – D
according to [Cooper 2001]
Example• The first stage (1 year): laboratory tests; success
probability 50%. • The second stage (2 years): field tests; success
probability 75%. • If tests are successful, the necessary investment into the
technology is $5M, expected earnings $8M project net present value $3M.
• Financial data are discounted, assuming the weighted capital costs WACC = 12%, risk-free discount rate 5%.
• Development costs and specific project risk are high resulting ECV negative (-$109 000)
• according to this criterion, project should be rejected.
Probability tree in project evaluation
Stage 1 – Year 1Cost = $0,5 MDCF = -$0,446M
Stage 2 – Year 2Cost = $0,5 MDCF = -$0,399M
Stage 2 – Year 3Cost = $0,5 MDCF = -$0,356M
Stage 3 – Year 4NPV = $3,0 MDCF = $1,907M
50%
50%
25%
75%
Stop
Stop
50% x (-0,446M) = -0,223M
12,5% x (-1,201M) = -0,150M
37,5% x (1,907-(0,356+0,399+0,446)) = = 37,5% x (1,907-1,201) = = 37,5% x 0,706M = 0,265M
ECV = 0,265 - 0,150 - 0,223 = -0,109M
áccording to [Boer 2003]
Real options
• The concept of real options is closely related to financial options that found their place in financial markets in recent decades. Real options relate to company opportunities and emphasize the basic idea that risk can bring the competitive advantage and as such it should be rewarded.
• The application of the real options theory is briefly described in [Boer 2003], the related website contains further information and references to more detailed resources. Here we will give only a brief account of basic concepts and terminology.
Two kinds of risks
• specific risk
• market risk
Specific risk
• Specific for the partial situation• At lest partly under your control (e.g. risk of a fire or risk
of project failure)• Can be diversified - we can use insurance to share fire
risk and maintain the diversified project portfolio to protect against the risk of project failure
• Therefore the market does not pay any premium for specific risks
• Specific risk can be often characterized by its probability. • Better management of specific risk can help us to
achieve the competitive advantage.
Market risk
Is not under your control Cannot be diversified. The pharmaceutical
company, as a part of health care sector, can do little to diversify the market risk.
Traditionally, market risk increases the capital expenses and therefore decreases the project value.
However, the situation is different with options: here the higher market risk, expressed as volatility, increases the option value, which can be quantified using the Black-Scholes algorithm, well known from financial options.
Volatility• Quantifies the rate of change of market value of the
underlying asset, i.e. the asset to its ownership we are entitled by buying the option (technology, database of customers …).
• Is usually specific for the industry and can be estimated on the basis of information available from e.g. stock market, industry statistics, etc.
• The higher the volatility, the more advantageous is to hold the respective option.
• The higher volatility means the higher potential of both the increase and decrease of the related asset price. As the option holder we can fully exploit the increase, while in the case of decrease we do not realize the option and the maximum loss is limited by the option cost.
Application• Boer [Boer 2003] applies the real option model (OPT)
with volatility equal to 50% to the example from Fig. 3• He shows that using this method the project value is
$0,171M, i.e. it is positive and the project is feasible. • The difference in project value assessed by ECV and
OPT models is $0,279M, what is enough to justify the project. The difference is caused by market volatility.
• Boer also proves that in case of the zero market risk, i.e. the zero volatility, both methods give the same result.
• The method of real options brings the most significant effect to projects with high level of risk having slightly negative net present value determined by ECV or other models based on the discounted cash flow.
Conclusion
• Illustration of the often neglected side of the new product development and R&D projects.
• The researchers, engineers, designers must work together with investors to determine before the project launch and in the gates how efficiently the capital invested into the effort is used.
• It is not an easy task; however, we hope that we succeeded to persuade the auditorium that this important task cannot be avoided.
References
• [Boer 2003] BOER F.P. Risk-adjusted Valuation of R&D Projects, online, http://www.tigerscientific.com
• [Cooper 2001] COOPER R.G., EDGET S.J., KLEINSCHMIDT E.J. Portfolio Management for New Products, Basic Books, 2001, ISBN 0-7382-0514-1
• [Cooper 2005] COOPER R.G. Product Leadership, Basic Books, 2005, ISBN 0-465-01433-X
• [Vacek 2006] Vacek J. “Structuring the new product development processes”, in AEDS 2006 Proceedings, pp. xx, University of West Bohemia, Pilsen, 2006, ISBN
HOW TO SELECT THE PORTFOLIO HOW TO SELECT THE PORTFOLIO OF NEW PRODUCT DEVELOPMENT OF NEW PRODUCT DEVELOPMENT
PROJECTSPROJECTS
31.10.-1.11.200831.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWBAEDS 2008 - Jiří Vacek, KIP FEK UWB 111111
OOutlineutline
• Portfolio management, consequences Portfolio management, consequences of its lackof its lack
• Portfolio management goalsPortfolio management goals – Goal 1: Maximizing the portfolio valueGoal 1: Maximizing the portfolio value – Goal 2: Balance Goal 2: Balance – Goal 3: Strategic alignmentGoal 3: Strategic alignment
31.10.-1.11.200831.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWBAEDS 2008 - Jiří Vacek, KIP FEK UWB 112112
Portfolio managementPortfolio management• Resources are always limited, it is neither possible nor effective to Resources are always limited, it is neither possible nor effective to
invest in every idea without due consideration. invest in every idea without due consideration. • It is important to select from many possibilities those with the It is important to select from many possibilities those with the
highest potentialhighest potential; ; today’s innovation projects decide about the future today’s innovation projects decide about the future profile of the company, its customers and market share. profile of the company, its customers and market share.
• GGoal: to create such portfolio of products that is rooted in the oal: to create such portfolio of products that is rooted in the company strategy and optimizes the company performance. company strategy and optimizes the company performance.
• Portfolio management: dynamic decision-making process of Portfolio management: dynamic decision-making process of evaluation, selection and prioritization of new projectevaluation, selection and prioritization of new projectss; ; activeactive project project can be fostered, put on hold or even killed; their priorities and can be fostered, put on hold or even killed; their priorities and allocation of resources can change.allocation of resources can change.
• The process is characterised by uncertainty, changing information, The process is characterised by uncertainty, changing information, dynamics of opportunities and threats, links between projects. The dynamics of opportunities and threats, links between projects. The whole process must be based on the long-term company strategy whole process must be based on the long-term company strategy and must support it and must support it
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A reluctance to kill projects.Many projects added to the
listA total lack of focus
Too many projects – resources thinly spread.Projects in the queue.
Quality of execution suffers.
Increased time to market
Higher failure rates
Weak decision points (broad gates)
Poor Go/Kill decisions
Too many low value projectsGood projects are starved
Too few stellar product winners
Many ho hum launches
No rigorous selection criteriaProject selected on emotion,
politics
Wrong projects are selected Many failures
No strategic criteria for project selection
Projects lack strategic direction
Projects not strategically aligned
Scatter gun effortDoes not support
strategy
No portfolio management means …
Immediate result
End result: poor new product performance
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Portfolio management goalsPortfolio management goals 1.1. Maximization of valueMaximization of value
• long-term profitability, return on investment, probability of long-term profitability, return on investment, probability of successsuccess, …, …
2.2. BalanceBalance• Long-term projects vs. short, fast ones;Long-term projects vs. short, fast ones;• High risk projects with high potential vs. lower-risk sure bets (e.g. High risk projects with high potential vs. lower-risk sure bets (e.g.
radical vs. incremental innovation);radical vs. incremental innovation);• Focus on different market segments (don’t pull all eggs into one Focus on different market segments (don’t pull all eggs into one
basket);basket);• Different technologies;Different technologies;• Different project types: new products, improvements, cost Different project types: new products, improvements, cost
reductions, frontier research.reductions, frontier research.
3.3. Strategic alignmentStrategic alignment• portfolio is strategically aligned and reflects the business’s portfolio is strategically aligned and reflects the business’s
strategy.strategy.
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Goal 1Goal 1Maximizing the portfolio valueMaximizing the portfolio value
• Net present value, bang for buckNet present value, bang for buck
• Expected commercial valueExpected commercial value
• Multi-criteria project valuationMulti-criteria project valuation
• Scoring modelsScoring models
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Project NPV
Remaining resource
requirements
Bang-for-buck
index
Immediate resource
requirements
A 52,0 9,5 5,5 3,2
B 30,0 3,1 9,7 0,3
C 8,6 2,1 4,1 1,4
D 42,0 3,8 11,1 2,5
E 48,5 7,0 6,9 1,3
F 43,8 5,0 8,8 1,5
G 37,5 8,3 4,5 3,8
H 3,0 1,0 3,0 0,7
I 9,5 2,5 3,8 0,5
J 6,2 0,8 7,8 0,8
K 4,5 1,4 3,2 1,2
L 55,0 5,0 11,0 5,0
Projects net present values and resource requirements
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Rank-ordered list of projectsRank-ordered list of projects
Project NPV
Remaining resource
requirements
Bang-for-buck index
Immediate resource
requirements
Cumulative immediate resource requirements
D 42,0 3,8 11,1 2,5 2,5
L 55,0 5,0 11,0 5,0 7,5
B 30,0 3,1 9,7 0,3 7,8
F 43,8 5,0 8,8 1,5 9,3
J 6,2 0,8 7,8 0,8 10,1
E 48,5 7,0 6,9 1,3 11,4
A 52,0 9,5 5,5 3,2 14,6
G 37,5 8,3 4,5 3,8 18,4
C 8,6 2,1 4,1 1,4 19,8
I 9,5 2,5 3,8 0,5 20,3
K 4,5 1,4 3,2 1,2 21,5
H 3,0 1,0 3,0 0,7 22,2
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Project expected value (ECV)Project expected value (ECV)
Project PV
Probability of technical success
Probability of commercial success
Development cost*
Commercialization cost* ECV
A 30,00 0,80 0,50 3,00 5,00 5,00
B 63,75 0,50 0,80 5,00 2,00 19,50
C 9,62 0,75 0,75 2,00 1,00 2,10
D 3,00 1,00 1,00 1,00 0,50 1,50
E 50,00 0,60 0,75 5,00 3,00 15,70
F 66,25 0,50 0,80 10,00 2,00 15,50
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Rank-ordered list according to ECV/D, Rank-ordered list according to ECV/D,
resource constraint 15 milresource constraint 15 mil
Project ECV ECV/DCumulative
development costsAdjusted cumulative
development costs
B 19,50 3,90 5,00 5,00
E 15,70 3,14 10,00 10,00
A 5,00 1,67 13,00 13,00
F 15,50 1,55 (23,00)
D 1,50 1,50 24,00 14,00
C 2,10 1,05 26,00 16,00
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Rank-ordered list according to ECVRank-ordered list according to ECV
Project ECV
Cumulative development costs
B 19,50 5,00
E 15,70 10,00
F 15,50 20,00
A 5,00 23,00
C 2,10 25,00
D 1,50 26,00
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• ECV model prioritizes more highly the projects ECV model prioritizes more highly the projects with the following properties:with the following properties:– closer to launch (increase of PV and consequently of closer to launch (increase of PV and consequently of
ECV),ECV),– higher income streams after launch (increase of PV higher income streams after launch (increase of PV
and consequently of ECV),and consequently of ECV),– less resources to be spent (decrease of D),less resources to be spent (decrease of D),– higher probabilities of success (increase of ECV),higher probabilities of success (increase of ECV),– utilize less of the constraining resource (it’s easier for utilize less of the constraining resource (it’s easier for
them to be above the line).them to be above the line).
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Multi-criteria project valuationMulti-criteria project valuation
input datainput data
Project IRR NPV SI PTS
A 20% 10 5 80%
B 15% 2 2 70%
C 10% 5 3 90%
D 17% 12 2 65%
E 12% 20 4 90%
F 22% 6 1 85%
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Project rankingProject ranking
• Project ranking procedure is the following Project ranking procedure is the following – calculate adjusted values of IRR and NPV – calculate adjusted values of IRR and NPV –
multiply them by PTS.multiply them by PTS.– rank projects according to adjusted values of rank projects according to adjusted values of
IRR and NPV and according to SI.IRR and NPV and according to SI.– calculate the average value of those three calculate the average value of those three
rankings and use it for final ranking rankings and use it for final ranking
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Multi-criteria project valuation, Multi-criteria project valuation, final project rankingfinal project ranking
Project IRR * PTSRanking by
IPR*PTS NPV * PTS
Ranking by NPV*PT
S SIRanking by
SI Avg. Final
A 16,0% 2 8 2 5 1 1,67 1
B 10,5% 5 1,4 6 2 4 5,00 6
C 9,0% 6 4,5 5 3 3 4,67 5
D 11,1% 3 7,8 3 2 4 3,33 3
E 10,8% 4 18 1 4 2 2,33 2
F 18,7% 1 5,1 4 1 6 3,67 4
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Applicability of financial models Applicability of financial models • MMain weaknessain weakness: : unreliability of input data, especially in unreliability of input data, especially in
the initial project stagethe initial project stage t they should be used only in hey should be used only in later stages. later stages.
• Small errors in probabilities of success rapidly propagate Small errors in probabilities of success rapidly propagate and can result in significant differences. and can result in significant differences.
• TThe complexity and sophistication of financial models he complexity and sophistication of financial models fairly exceeds the quality of input datafairly exceeds the quality of input data
• It does not mean that we should not pay proper attention It does not mean that we should not pay proper attention to financial data in the initial project stages. However, we to financial data in the initial project stages. However, we should not make decisions solely on their basis; they should not make decisions solely on their basis; they should be combined with non-financial modelsshould be combined with non-financial models
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Scoring modelsScoring models
• GGive very good results. ive very good results. • IImportantmportant:: selection of criteria that really separate the selection of criteria that really separate the
winners from the losers. Such criteria must be based on winners from the losers. Such criteria must be based on the analyses of your own company and other companies the analyses of your own company and other companies in the same industry. You must develop the expert base in the same industry. You must develop the expert base to be used in project valuation.to be used in project valuation.
• One of the models described in [Cooper 2001] uses five One of the models described in [Cooper 2001] uses five main factors:main factors:– business strategy fit (2)business strategy fit (2)– strategic leverage (4)strategic leverage (4)– probability of technical success (4)probability of technical success (4)– probability of commercial success (6)probability of commercial success (6)– reward to the company (project profitability) (3)reward to the company (project profitability) (3)
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Goal 2: BalanceGoal 2: Balance
• In many cases, the project portfolio is not In many cases, the project portfolio is not balanced; often it contains too many small balanced; often it contains too many small projects and not enough of radical, visionary but projects and not enough of radical, visionary but highly risky projects necessary to maintain the highly risky projects necessary to maintain the company competitiveness. company competitiveness.
• Suitable tools for creation of the balanced Suitable tools for creation of the balanced portfolio are bubble diagrams; most frequently portfolio are bubble diagrams; most frequently used diagram is the risk – reward bubble used diagram is the risk – reward bubble diagram, which is used by 44 % companiesdiagram, which is used by 44 % companies
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Risk-Reward bubble diagramRisk-Reward bubble diagram Reward vs. risk
0
10
20
30
40
50
60
70
0,00% 10,00% 20,00% 30,00% 40,00% 50,00% 60,00% 70,00%
PTS
rew
ard
PEARLSOYSTERS
BREAD & BUTTER
WHITE ELEPHANTS
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Diagram quadrantsDiagram quadrants
• PearlsPearls: potential „star“ projects: high probability of : potential „star“ projects: high probability of success, high expected reward. We would like many of success, high expected reward. We would like many of such projects.such projects.
• OystersOysters: highly speculative projects: low probability of : highly speculative projects: low probability of success, high expected reward. Here the breakthroughs success, high expected reward. Here the breakthroughs pave the way for solid payoffs.pave the way for solid payoffs.
• Bread and butterBread and butter: simple projects, high probability of : simple projects, high probability of success, low expected reward. Often too many of them success, low expected reward. Often too many of them in the portfolio, consuming substantial ratio of resources.in the portfolio, consuming substantial ratio of resources.
• White elephantsWhite elephants: low probability of success, low : low probability of success, low expected reward; projects that are difficult to kill, often expected reward; projects that are difficult to kill, often from personal reasons.from personal reasons.
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Goal 3: Strategic alignmentGoal 3: Strategic alignment
• Strategy and allocation of resources are closely Strategy and allocation of resources are closely linked: until we start allocating resources to linked: until we start allocating resources to specific activities, strategy is only paperwork. In specific activities, strategy is only paperwork. In portfolio creation we will follow the following portfolio creation we will follow the following objectives:objectives:– Projects are aligned with business strategy;Projects are aligned with business strategy;– All projects contribute to achievement of strategic All projects contribute to achievement of strategic
goals and objectives;goals and objectives;– Allocation of resources reflects specified strategic Allocation of resources reflects specified strategic
goals and objectives.goals and objectives.– In portfolio management we use three basic In portfolio management we use three basic
approaches: top-down, bottom-up and combined.approaches: top-down, bottom-up and combined.
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Top-down approachTop-down approach
• from the strategy formulation (using from the strategy formulation (using principles, methods and procedures of principles, methods and procedures of strategic management, see e.g. [Grant strategic management, see e.g. [Grant 2008]). Objectives for new products are 2008]). Objectives for new products are often stated in terms of ratio or growth of often stated in terms of ratio or growth of turnover, profit, market share, etc. during turnover, profit, market share, etc. during several (usually 3-5) years. several (usually 3-5) years.
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Technology roadmapsTechnology roadmaps
• Technology strategic roadmaps, results of technology foresight and Technology strategic roadmaps, results of technology foresight and other studies performed often on the macro-economic level. other studies performed often on the macro-economic level.
• In the Czech Republic such studies are prepared e.g. by In the Czech Republic such studies are prepared e.g. by Technology centre AV ČR (http://www.strast.cz/) and CESES – Technology centre AV ČR (http://www.strast.cz/) and CESES – Centre for social and economic strategies Centre for social and economic strategies (http://www.ceses.cuni.cz/), (http://www.ceses.cuni.cz/),
• at the EU level the Institute for Prospective Technology Studies at the EU level the Institute for Prospective Technology Studies in Sevilla (http://ipts.jrc.ec.europa.eu/). in Sevilla (http://ipts.jrc.ec.europa.eu/).
• Technology roadmaps are developed also within the framework of Technology roadmaps are developed also within the framework of technology platforms of the 7-th EU Framework Programme for technology platforms of the 7-th EU Framework Programme for Research, Development and Demonstrations Research, Development and Demonstrations (http://cordis.europa.eu/fp7, http://cordis.europa.eu/technology-(http://cordis.europa.eu/fp7, http://cordis.europa.eu/technology-platforms).platforms).
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Strategic bucketsStrategic buckets • The company management, on the basis of strategy, decides what The company management, on the basis of strategy, decides what
resources will be allocated to basic categories of development resources will be allocated to basic categories of development projects (e.g. X % to platforms, Y % to new products, Z % to projects (e.g. X % to platforms, Y % to new products, Z % to incremental innovations) and projects are then prioritized within incremental innovations) and projects are then prioritized within those buckets. those buckets.
• Resources originally allocated to one category may not sufficient, Resources originally allocated to one category may not sufficient, while there are still free resources in the other bucket. In such a while there are still free resources in the other bucket. In such a case the resources can be redistributed. case the resources can be redistributed.
• However, after the final allocation of resources to strategic buckets it However, after the final allocation of resources to strategic buckets it should not be possible to reshuffle the resources between buckets. should not be possible to reshuffle the resources between buckets. Especially it should be avoided to take resources originally allocated Especially it should be avoided to take resources originally allocated for strategic, long-term goals and use them for short-term, more for strategic, long-term goals and use them for short-term, more “urgent” projects, often backed from “political” reasons. Such “urgent” projects, often backed from “political” reasons. Such redistribution undermines long-term strategic goals and all the redistribution undermines long-term strategic goals and all the strategic planning strategic planning
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Bottom-up Bottom-up and combined approachesand combined approaches
• Bottom-up approach build strategic criteria into the model of project Bottom-up approach build strategic criteria into the model of project selection, usually to the scoring modelselection, usually to the scoring model..
• This approach guarantees that all projects are strategy aligned, This approach guarantees that all projects are strategy aligned, however it cannot guarantee allocation of resources in compliance however it cannot guarantee allocation of resources in compliance with strategic priorities. with strategic priorities.
• This weakness can be overcome by the use of combined approachThis weakness can be overcome by the use of combined approach: : we first use the top-down approach to establish strategic buckets, we first use the top-down approach to establish strategic buckets, and then we evaluate all active projects and projectand then we evaluate all active projects and projectss on hold and on hold and prepare their ranked list. Finally we assign projects to corresponding prepare their ranked list. Finally we assign projects to corresponding categories (buckets) and study the exhaustion of resources. categories (buckets) and study the exhaustion of resources.
• Usually this first iteration is not completely satisfactory and it is Usually this first iteration is not completely satisfactory and it is necessary to use more iterations to reach satisfactory results.necessary to use more iterations to reach satisfactory results.
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ReferencesReferences• [Cooper 2001] COOPER R.G., EDGET S.J., KLEINSCHMIDT E.J. [Cooper 2001] COOPER R.G., EDGET S.J., KLEINSCHMIDT E.J.
Portfolio Management for New ProductsPortfolio Management for New Products, 2nd edition, Basic Books, , 2nd edition, Basic Books, 2001, ISBN 0-7382-0514-1 2001, ISBN 0-7382-0514-1
• [Grant 2008] GRANT R.M., [Grant 2008] GRANT R.M., Contemporary Strategy AnalysisContemporary Strategy Analysis, 6th , 6th edition, 2008, Blackwell Publishing, ISBN 978-1-4051-6309-5edition, 2008, Blackwell Publishing, ISBN 978-1-4051-6309-5
• [Vacek 2007] Vacek, J. Evaluation of the new product development [Vacek 2007] Vacek, J. Evaluation of the new product development and R&D projects. In and R&D projects. In AEDS 2007AEDS 2007. Pilsen : University of West . Pilsen : University of West Bohemia, 2007, Bohemia, 2007, pp.83-87. ISBN 978-80-7043-600-4..83-87. ISBN 978-80-7043-600-4.
• [Vacek 2006] Vacek, J. Structuring the new product development [Vacek 2006] Vacek, J. Structuring the new product development process. In process. In AEDS 2006AEDS 2006. Pilsen : University of West Bohemia, 2006, . Pilsen : University of West Bohemia, 2006, pp.111-118. ISBN 80-7043-490-2..111-118. ISBN 80-7043-490-2.
• [Vacek 2004] Vacek, J. New product development and current [Vacek 2004] Vacek, J. New product development and current trends in innovation management. In trends in innovation management. In AEDS 2004AEDS 2004 Workshop. Plzeň : Workshop. Plzeň : University of West Bohemia, 2004, University of West Bohemia, 2004, pp.35-36. ISBN 80-7043-331-0..35-36. ISBN 80-7043-331-0.
Lesson 5
Innovation impulses
SOURCES OF INNOVATION IMPULSES
Internal environment
• Own R&D • Technical divisions – design, technology • Production divisions (production, provision of
services) • Marketing and sales • Logistics (purchase and supplies)• Guarantee and post-guarantee service• Owners
SOURCES OF INNOVATION IMPULSES External environment
• Customers• Suppliers• Competitors• Consultants, R&D
institutions• Schools, universities• Professional publications,
Internet• Exhibitions, fairs,
specialized seminars and conferences
• Advertising agencies• Investors• Media• Authorized testing
laboratories, certification agencies
• State institutions, public sector
• Legislation• Globalization
MARKET PULL - R&D PUSH
• Market pull– looking for the best way of satisfying a newly
emerging customer demand– improvement of the existing products, extension of
the existing offer or decrease of price– impulses for continuous, incremental innovations or
for process innovations
• Research and development push– looking for commercial use of new impulses resulting
from the R&D results– generating of new markets for conceptually different
products
7 SOURCES OF INNOVATION IMPULSES (Drucker)
INTERNAL 1. unexpected event2. contradiction3. change of work process4. change in the structure of industry or market
EXTERNAL– Demographic changes– Changes in the world view– New knowledge
1. Unexpected event
• Unexpected success • 1. What will the use of the offered opportunity mean to us?• 2. Where will its introduction take us?• 3. What do we need to do for its implementation?• 4. How can we achieve that?
• Unexpected failure
• Unexpected external event
2. Contradiction
• Non-compliance with economic reality
• Contradiction between reality and anticipations about it
• Contradiction between the anticipated and real behavior of customers and their values
3. Change of process
• realize the necessity of change, identify the weak point of the chain
• be convinced that if something does not work the way it should, then it is necessary to attempt a change
• the solution must be convenient for those who will implement it. It must place moderate and feasible requirements
4. Change in the structure of industry and market
• Rapid growth of the industry
• Identification of new market segments
• Convergence of technologies (e.g. use of computers in telecommunications)
• Rapid change of the industry and resulting need of a structural change
5. Demography
• easiest to describe and to predict
• influence what will be bought, who and in which amounts will purchase
6. Change of attitudes
• change in the approach to health: health-care, food, spending the leisure time
• “upper-middle class”: a chance to offer non-standard services at non-standard prices
• increasing migration, feminism, regionalism etc
• Timing is essential - to be the first
7. New knowledge
• Based on convergence or synergy of various kinds of knowledge, their success requires, high rate of risk – Thorough analysis of all factors. identify the “missing
elements” of the chain and possibilities of their supplementing or substitution;
– Focus on winning the strategic position at the market. the second chance usually does not come;
– Entrepreneurial management style. Quality is not what is technically perfect but what adds the product its value for the end user
IMPULSES FROM THE MARKET
ENVIRONMENT • Customers
product presentation
– realistic – simple, demonstrative and precise – moderate
– representative sample of customers
• Suppliers
• Competitors
INNOVATION IMPULSES OF THE R&D
• identification research: to monitor the scientific, technical and economic information and identify innovation impulses applicable in the company
• basic research • applied research: acquire knowledge and means
applicable for the meeting of specific, beforehand-defined goals
• development: systemic use of knowledge and means acquired in the applied research for the creation of a new or improvement of the existing product or for the creation or modification of processes
INTERNAL IMPULSES
• usually combined with external sources
• supported by– creative techniques – innovation tools
• REGISTER OF IMPULSES
Lesson 6
Innovation management tools
INNOMAT
http://www.inno-pro.com/aainn0.htm
General Innovation Tools
BENCHMARKING
BRAINSTORMING
REENGINEERING
CHANGE MANAGEMENT
Specific techniques useful at the different change management process steps.
CHANGE MANAGEMENT STEP SPECIFIC TECHNIQUE
Making time time management techniques
Preparing a vision statement SWOT analysis
Identify what factors will hinder change
force field analysis
Selling the change internal marketing techniques
Developing a plan strategic planning techniques
Learning
Monitoring effectiveness
INNOVATION MANAGEMENT TOOLShttp://www.wiley.co.uk/innovate/website/pages/atoz/atoz.htm
TECHNOLOGY AUDIT
TECHNOLOGY FORECAST
VALUE ANALYSIS
Product Innovation Tools
DESIGN FOR X
<>
„X“ - examples
Design for Manufacturing and Assembly (DFMA)
Design for Environment (DFE)
Design for Dimensional Control (DDC)
Design for Inspectability
Design for Storability Design for Reliability
(DFR)
Design for Electromagnetic Compatibility
Design for Disassembly (DFD)
QUALITY FUNCTION DEPLOYMENT
House of Quality
Interrelationships
Technical Features
Relationship between Customer Desired Traits and Technical Features
Importance of Technical Features
Importance of Traits to Customer
Assessment of Competition
Voice of the Customer
House of Quality:Steps for Generation
1. Identify Customer Attributes
2. Identify Supporting Technical Characteristics
3. Correlate Customer Attributes with Supporting Technical Features
4. Assign Priorities to Customer Requirements and Technical Features
5. Evaluate Competitors’ Stances and Products
6. Identify Technical Characteristics to Deploy in the Final Product Design
Managerial Innovation Tools
FAILURE MODE AND EFFECT ANALYSIS (FMEA)
INNOVATION MANAGEMENT TOOLShttp://www.wiley.co.uk/innovate/website/pages/atoz/atoz.htm
INNOVATION MANAGEMENT TOOLShttp://www.wiley.co.uk/innovate/website/pages/atoz/atoz.htm
PEER EVALUATION
TEAM BUILDING
ISO 9000
ISO14000 refers to procedures for ensuring sustainable and
environmentally friendly operations
EIA – Environmental Impact Assessment
TOTAL PRODUCTIVE MAINTENANCE
Process Innovation Tools
DESIGN FOR MANUFACTURING AND ASSEMBLY (DFMA)
LEAN THINKING
CONTINUOUS IMPROVEMENT
CONCURRENT ENGINEERING
JUST IN TIME (JIT)
INNOSKILLS
FASTER
Lesson 7
CREATIVITY
BASICS & TECHNIQUES
Innovation and creativity
• creativity is manifested in the production of a creative work (for example, a new work of art or a scientific hypothesis) that is both original and useful
• innovation begins with creative ideas,– creativity by individuals and teams is a
starting point for innovation; the first is a necessary but not sufficient condition for the second
• creativity results:– in producing or bringing about something
partly or wholly new; – in investing an existing object with new
properties or characteristics; – in imagining new possibilities that were not
conceived of before; – and in seeing or performing something in a
manner different from what was thought possible or normal previously.
• Many creative ideas are generated when somebody discards preconceived assumptions and decides on a new approach or method that might seem to others unthinkable
• Serendipity - effect by which one accidentally discovers something fortunate, especially while looking for something else entirely
Quotations on serendipity• "In the field of observation, chance favors only the prepared mind." Louis
Pasteur • "Serendipity. Look for something, find something else, and realize that what
you've found is more suited to your needs than what you thought you were looking for." Lawrence Block
• "The most exciting phrase to hear in science, the one that heralds new discoveries, is not 'Eureka!', but 'That's funny …'" Isaac Asimov
• "In reality, serendipity accounts for one percent of the blessings we receive in life, work and love. The other 99 percent is due to our efforts." Peter McWilliams
• "Serendipity is looking in a haystack for a needle and discovering a farmer's daughter." Julius Comroe Jr.
• "Serendipity is putting a quarter in the gumball machine and having three pieces come rattling out instead of one—all red." Peter H. Reynolds
• "--- you don't reach Serendib by plotting a course for it. You have to set out in good faith for elsewhere and lose your bearings ... serendipitously." John Barth, The Last Voyage of Somebody the Sailor
• "Serendipity is the art of making an unsought finding." Pek van Andel (1994) source: wikipedia
BASIC CONCEPTS
• Creative thinking represents a combination of logic and intuitive approaches
• Being creative means dealing with the aspects and possibilities of today and tomorrow
• That requires a person to be open to everything new, do not stick to things that we are all used to, do not adhere to yesterday so much
• Creativity does not mean dreaming, it means productive managing of specific tasks.
• Only a creative approach to the problem solution can be successful.
Creativity in organizations
• Amabile: to enhance creativity in business, three components are needed:– Expertise (technical, procedural & intellectual
knowledge), – Creative thinking skills (how flexibly and imaginatively
people approach problems), – and Motivation (especially intrinsic motivation).
• Nonaka: creativity and knowledge creation are important to the success of organizations. In particular, he emphasized the role that tacit knowledge has to play in the creative process.
Creativity and economics• Joseph Schumpeter: creative destruction - the way in
which old ways of doing things are endogenously destroyed and replaced by the new.
• Paul Romer: the recombination of elements to produce new technologies and products and, consequently, economic growth. Creativity leads to capital, creative products are protected by intellectual property laws.
• The creative class as important driver of modern economies. Richard Florida in The Rise of the Creative Class, 2002 popularized the notion that regions with "3 T's of economic development: Technology, Talent and Tolerance" also have high concentrations of creative professionals and tend to have a higher level of economic development.
• Important aspect to understanding Entrepreneurship.
Stages of creative process
• Orientation: Need identification, intention to create
• Preparation: Information collection, problem formulation
• Incubation: seeking solution, evaluation of variants, unconscious thinking
• Illumination (Eureka!): synthesis, creation of ideas
• Realization: transformation of the idea into reality
• Verification: evaluation, learning, improvement
Barriers to creativity - 1• The value of getting things right time can induce a fear of
mistakes and experimentation. • So can a blame culture where people become afraid of
making mistakes. • Managers who are not as secure as they should be can
resist or block ideas that are not their own or which they see as threatening.
• A culture that over emphasizes cost containment, processes, consistency or efficiency.
• A reward system that too exclusively celebrates getting things done fast with no mistakes.
• A general fear of risk taking, wanting to analyze everything to death, to wait and see what others do in the market before acting.
Barriers to creativity - 2
• A lack of explicit funding for experimentation. • A strict requirement to demonstrate the value of an idea
before it has a chance to prove itself. • A tendency to shoot down novel ideas as a way of
scoring points. • An over allegiance to past successes, proven experience
and tried and tested methods. • A suspicion of novelty, a fear of the unproven. • A resistance to learning from mistakes or trial and error,
a tendency to blame external factors or other people for failures rather than to learn from them.
• Short termism - a drive to meet short term financial goals rather than to invest in the future.
Barriers to creativity - 3
• http://members.optusnet.com.au/~charles57/Creative/Basics/obstacles.htm
CREATIVITY STIMULATION
• Keep in touch with creative people • Accommodate the effort to the targets • Evaluate and appreciate the effort• Protect creative employees• Leave them peace and time• Provide them with security • Tolerate failures • Maintain creative atmosphere • Evaluate the creative ideas quickly • Be persistent - nothing comes for free
Fostering creativity • Establishing purpose and intention • Building basic skills • Encouraging acquisitions of domain-specific
knowledge • Stimulating and rewarding curiosity and exploration • Building motivation, especially internal motivation • Encouraging confidence and a willingness to take risks • Focusing on mastery and self-competition • Promoting supportable beliefs about creativity • Providing opportunities for choice and discovery • Developing self-management (metacognitive skills) • Teaching techniques and strategies for facilitating
creative performance • Providing balance
METHODS OF CREATIVE ACTIVITY
• increasing the individual’s or team’s creative potential
• contributing to the improvement of the creative work conditions
• facilitating the problem solution
Creative Process• Problem Definition - including problem analysis,
redefinition, and all aspects associated with defining the problem clearly.
• Idea Generation - The divergent process of coming up with ideas.
• Idea Selection - The convergent process of reducing all the many ideas into realistic solutions
• Idea Implementation - Turning the refined ideas in reality.
• Processes - Schemes and techniques which look at the overall process from start to finish (or at least 3 of the above 4 areas)..
• http://www.mycoted.com/Category:Creativity_Techniques
Brain hemispheres
Left brain functions Right brain functions
sequential simultaneous
analytical holistic
verbal imagistic
logical intuitive
linear algorithmic processing holistical algorithmic processing
mathematics: perception of counting/measurement
mathematics: perception of shapes/motions
present and past present and future
language: grammar/words, pattern perception, literal
language: intonation/emphasis, prosody, pragmatic, contextual
Convergent vs. divergent thinking
• Convergent thinking involves aiming for a single, correct solution to a problem
• Divergent thinking involves creative generation of multiple answers to a set problem.
CREATIVITY TECHNIQUES• trial and error• brainstorming• Inspirational questions • psychological-cognitive, such as:
– Osborn-Parnes Creative problem solving (CPS)– Synectics; – Lateral thinking (courtesy of Edward de Bono),
• the highly-structured, such as:– TRIZ (the Theory of Inventive Problem-Solving); – ARIZ (the Algorithm of Inventive Problem-Solving), both
developed by the Russian scientist Genrich Altshuller; and – Computer-Aided Morphological analysis.
Trial and error
• select a possible answer, apply it to the problem and, if not successful, select (or generate) another possibility that is subsequently tried. The process ends when a possibility yields a solution.
• more successful with simple problems, often resorted to when no apparent rule applies.
• the approach need not be careless, for an individual can be methodical in manipulating the variables in an attempt to sort through possibilities that may result in success. Nevertheless, this method is often used by people who have little knowledge in the problem area
Trial and error - features
• solution-oriented: trial and error makes no attempt to discover why a solution works, merely that it is a solution.
• problem-specific: trial and error makes no attempt to generalise a solution to other problems.
• non-optimal: trial and error is an attempt to find a solution, not all solutions, and not the best solution.
• needs little knowledge: trials and error can proceed where there is little or no knowledge of the subject.
Inspirational questions - 1 • What can I substitute to make an improvement? • What if I swap this for that and see what happens? • How can I substitute the place, time, materials or people? • What materials, features, processes, people, products or
components can I combine? • Where can I build synergy? • What part of the product could I change? And in exchange for what? • What if I were to change the characteristics of a component? • What happens if I warp or exaggerate a feature or component? • What will happen if I modify the process in some way? • What other market could I use this product in? • Who or what else might be able to use it? • What if I did it the other way round? • What if I reverse the order it is done or the way it is used? • How would I achieve the opposite effect?
Inspirational questions - 2
• Who else has solved this problem? • What similar area of expertise might have solved this
problem? • Is there anyone else in the company who knows how to
solve this? • What else could we use to solve the problem?• Where else might this problem have been solved? • What other companies might know how to solve this? • What similar problems have been solved, and how? • What other industries face the same problem and what
do they do about it?
Inspirational questions - 3
• How would they think? • What objects and items would they be using? • Where would they be doing it? • How would they see the problem? • What action would they take? • How would they explain the problem? • How would they solve the problem? • What does your situation or your problem remind you of? • What other areas of life/work experience similar
situations? • Who does similar things but not in your area of
expertise?
Inspirational questions - 4
• What would my perfect solution be?
• What effect would my ideal solution have?
• What if money/morals/laws did not matter at all?
• What would I do if I had unlimited power and resources?
• What would my ideal solution look like?
Source:Wikipedia
CPS (OFPISA)
• six stage process, each with a divergent and a convergent phase.1. Objective Finding (or Mess Finding): Sensitise yourself for
issues that need to be tackled. 2. Fact Finding: Gather information about the problem. 3. Problem Finding: convert a fuzzy statement of the problem into
a broad statement more suitable for idea finding. 4. Idea Finding: generate as many ideas as possible 5. Solution finding: Generate and select obvious evaluation criteria
and develop the short-listed ideas from Idea Finding as much as possible in the light of these criteria. Then choose the best of these improved ideas for further development
6. Acceptance finding: How can the suggestion you have just selected be made up to standard and put into practice?
Synectics• problem solving approach that stimulates thought
processes of which the subject is generally unaware. • developed by William Gordon, • central principle: "Trust things that are alien, and alienate
things that are trusted." • Encourages• fundamental problem-analysis and, on the other hand, • the alienation of the original problem through the
creation of analogies• It is thus possible for new and surprising solutions to
emerge. • Synectics is more demanding of the subject than
brainstorming, as the many steps involved mean that the process is more complicated and requires more time and effort.
Synectics - steps
• Analysis and definition of the problem • Spontaneous solutions • Reformulation of the problem • Creation of direct analogies • Personal analogies (identification) • Symbolic analogies (contradictions) • Direct analogies • Analysis of the direct analogies • Application to the problem • Development of possible solutions
Lateral thinking• de Bono• methods of thinking concerned with changing concepts
and perception; reasoning that is not immediately obvious, ideas that may not be obtainable by using only traditional step-by-step logic
• shifting of thinking patterns, away from entrenched or predictable thinking to new or unexpected ideas.
• A new idea that is the result of lateral thinking is not always a helpful one, but when a good idea is discovered in this way it is usually obvious in hindsight, which is a feature lateral thinking shares with a joke
• We may need to solve some problems not by removing the cause but by designing the way forward even if the cause remains in place
• http://en.wikipedia.org/wiki/Lateral_thinking
Lateral thinking vs. critical thinking
• Critical thinking is primarily concerned with judging the truth value of statements and seeking errors.
• Lateral thinking is more concerned with the movement value of statements and ideas. A person would use lateral thinking when they want to move from one known idea to creating new ideas.
• Critical thinking is like a post-mortem while lateral thinking is like diagnosis.
Lateral thinking - inspiration
• Random Entry: Choose an object at random, or a noun from a dictionary, and associate that with the area you are thinking about.
• Provocation: Declare the usual perception out of bounds, or provide some provocative alternative to the usual situation under consideration. Prefix the provocation with the term 'Po" to signal that the provocation is not a valid idea put up for judgement but a stimulus for new perception.
• Challenge: Simply challenge the way things have always been done or seen, or the way they are. This is done not to show there is anything wrong with the existing situation but simply to direct your perceptions to exploring outside the current area.
Six de Bono hats
• White hat (Blank sheet): Information & reports, facts and figures (objective)
• Red hat (Fire): Intuition, opinion & emotion, feelings (subjective)
• Yellow hat (Sun): Praise, positive aspects, why it will work (objective)
• Black hat (Judge's robe): Criticism, judgment, negative aspects, modus tollens (objective)
• Green hat (Plant): Creativeness, Alternatives, new approaches & 'everything goes', idea generation & provocations (speculative/creative)
• Blue hat (Sky): "Big Picture," "Conductor hat," "Meta hat," "thinking about thinking", overall process (overview)
Example - meeting• The meeting may start with everyone assuming the Blue
hat to discuss how the meeting will be conducted and to develop the goals and objectives.
• The discussion may then move to Red hat thinking in order to collect opinions and reactions to the problem. This phase may also be used to develop constraints for the actual solution such as who will be affected by the problem and/or solutions.
• Next the discussion may move to the (Yellow then) Green hat in order to generate ideas and possible solutions.
• Next the discussion may move between White hat thinking as part of developing information and
• Black hat thinking to develop criticisms of the solution set.
TRIZ, ARIZ
• Теория решения изобретательских задач” (Teoriya Resheniya Izobretatelskikh Zadatch) = Theory of inventive problem solving
• Inventing is the removal of a technical contradiction with the help of certain principles
TRIZ process for creative problem solving
Contradictions
• Inventive problems stem from contradictions (one of the basic TRIZ concepts) between two or more elements, such as, "If we want more acceleration, we need a larger engine; but that will increase the cost of the car," that is, more of something desirable also brings more of something less desirable, or less of something else also desirable. These are called Technical Contradictions.
• Physical or inherent contradictions: More of one thing and less of another may be needed. For instance, a higher temperature may be needed to melt a compound more rapidly, but a lower temperature may be needed to achieve a homogeneous mixture.
Matrix of Contradictions
• 40 inventive principles
• rows: 39 system features that one typically wants to improve, such as speed, weight, accuracy of measurement and so on.
• columns: typical undesired results.
• matrix cell: points to principles that have been most frequently used in patents in order to resolve the contradiction.
Morphological analysis
• designed for multi-dimensional, non-quantifiable problems where causal modeling and simulation do not function well or at all
• Fritz Zwicky (1967, 1969) - exploring all the possible solutions to a multi-dimensional, non-quantified problem complex
Morphological analysis - steps
1. The problem to be solved must be very concisely formulated.
2. All of the parameters that might be of importance for the solution of the given problem must be localized and analyzed.
3. The morphological box or multidimensional matrix, which contains all of the potential solutions of the given problem, is constructed
4. All the solutions contained in the morphological box are closely scrutinized and evaluated with respect to the purposes that are to be achieved.
5. The optimally suitable solutions are selected and are practically applied, provided the necessary means are available.
Example 1 - energy conversion
initial transmission final storage
kinetic – K kinetic – K kinetic – K
electrical – E electrical – E electrical – E
chemical – C chemical – C chemical – C
thermal – T thermal – T thermal – T
nuclear - N nuclear - N nuclear - N
Example 1 - continued
• K->E->C: hydroelectric generation which is then stored in a battery.
• C->T->K: internal combustion engine (chemical energy transformed into thermal energy) leading to energy being stored in a flywheel.
• E->C->T: common refrigerator
Example 2 – cardboard packaging
Parameter Parameter values
separated media
solid /solid
solid /fluid
solid /gas
fluid /fluid
fluid /gas
gas /gas
level of separation
total partial
protection against
gravitation mechanical forces
heat radiation sound
combination with
paper plastic wood paint nothing
solution: throwaway beverage packaging
Think outside the box
http://www.sciencenewsforkids.org/articles/20041027/PuzzleZone.asp
16 dots, 6 lines
Dots and lines - generalization
• a three-dot-by-three-dot puzzle requires four lines.
• a four-dot-by-four-dot puzzle requires six lines,
• a five-dot-by-five-dot puzzle requires eight lines, and
• an n-dot-by-n-dot puzzle requires 2(n – 1) dots.
Puzzle Archive
• http://www.sciencenewsforkids.org/pages/zonearchive.asp?type=1
Lesson 8
TEAM WORK
TEAM DEFINITION
• group of people whose individual members share a common goal
• their expert skills and personal abilities are complementary
• its members work activities and skills are purposefully and smoothly linked together.
TEAM EFFECTIVENESS
• dynamic balance among – Necessity to perform a joint task– Individual needs of team members– Necessity to maintain a team
• synergic effect: every member – contributes to performance of the mutual task– adopts specific roles necessary for the effective team
functioning.– contributes to the satisfaction of the individual needs
of other team members
Successful team characteristics
• Team members identify themselves with the team• There is relaxed, non-bureaucratic atmosphere, interest
in achieving joint goals, optimistic work mood.• Tasks and goals are clear to all members and all identify
themselves with them. Differences in opinions are accepted. Disputable points are discussed and a solution is looked for.
• Communication is open, spontaneous, and fluent. Team members are sincere to each other, listen to each other. Criticism is constructive and it is not taken personally.
• Team management is of participative, eventually consulting, character. Rules are clearly defined.
Unsuccessful team characteristics
• Team members do not identify themselves with team.• Strained atmosphere, blocked communication is. Team
members hide their real feelings and opinions.• Autocratic supervision, discussion about goals and tasks
not allowed. • Diversity of opinions leads to conflicts. Disagreement is
not openly expressed; the decision is undermined.• Personal issues are settled by means of criticism.
People gossip.• The rules are not clearly defined.
Team structure and organization
• Formal: clearly visible, represents distribution of work among the team members in order to ensure performance of certain functions.
• Informal: influences procedures, in which things are actually done – prestige of people, their influence, power, seniority, ability to convince others play roles there.
TEAM DEVELOPMENT
Forming
Storming
Norming
Performing
Dissolving
ROLES IN THE TEAM
• Initiator• Company employee• Chairman• Forming person• Operational employee• Coordinator• Resource researcher
• Observer• Team worker• Finisher• Orienting member• Energy supplier• Recorder• Harmonizer
Advantages and disadvantages of team work
• (+) Mutual cooperation and support
• (?) teams often accept more risk than individuals
• (+) can produce high quality ideas by accepting the conflict and exploring differences in the individual members’ opinions
Group cohesion
• (+) larger degree of cooperation, better communication, higher resistance against frustration, lower fluctuation and absences, lower level of tolerance towards lazy people
• (-) difficult for new members, limited possibility to enforce new ideas, opposition against changes in work procedures, often overprotective against outsiders
Team forming by a manager Manager On the way to rigidity On the way to teamwork
Defines Everything if possible Vision
Prefers Conformity Individuality, mutuality
Believes in Plan, task, control Trust, motivation climate
Views the problem solving by the team
As denial of his/ her authority, waste of time
As natural and necessary
Communicates with team members
When they require it or need it
As much as possible
Conflicts inside or outside the team
Ignores them or solves them him- or herself
Opens them for team solving before they become destructive
Understands group unity As a potential threat to his/ her position
As necessity
Anticipates People’s worries of responsibility
Independence and responsibility of people
Lesson 9
DECISION MAKING
DECISION PROCESS
1. Identify the problem
2. Specify objectives and decision criteria
3. Develop alternatives
4. Analyze and compare alternatives
5. Select the best alternative
6. Implement the chosen alternative
7. Monitor the results
REASONS FOR POOR DECISIONS
• Mistakes in the decision process– quick decisions– failure to recognize consequences– manager´s ego – unwillingness to admit mistake,
unability to make a decision
• Bounded rationality– limits – not optimum, but satisfactory solution
• Suboptimization– departmentalization
MODELS
Model: abstraction of reality, adequately portrays real-life phenomena
• Physical• Schematic• Mathematical• Computer
USE OF MODELS
1. The purpose of the model
2. How to use model to generate results
3. How results are interpreted and used
4. What assumptions and limitations apply
Be aware of the assumptions and limitations of each model
BENEFITS OF THE USE OF MODELS
1. Easy to use, less expensive
2. Require to organize and quantify information, indicate need of additional information
3. Provide a systematic approach to problem solving
4. Increase understanding of the problem
5. Enable to ask „what if …?“
6. Require users to be very specific about objectives
7. Serve as a consistent tool for evaluation
8. Enable to bring power of mathematics
9. Provide standardized format for problem analysis
LIMITATIONS OF MODELS
1. Overemphasis of quantitative over qualitative information
2. Incorrect application, misinterpretation of results
3. Highly sophisticated models in hands of users who cannot fully comprehend the conditions and limitations of the model use
4. Model building as an end to itself
QUANTITATIVE APPROACHES
• Linear programming• Queing techniques• Inventory models• Project models (PERT, CPM, TOC)• Forecasting models• Statistical models
Quantitative methods are typically more difficult to understand without a fair amount of explanation
and demonstration
TRADE-OFFS
List advantages and and disadvantages of opposing courses of action to gain better understanding of the consequences of potential decisions.
Example – quality control
advantages disadvantages
Fewer defectives slipping through by increasing inspections
Increase in costs
SENSITIVITY ANALYSIS
How sensitive the solution is to a change in one or more parameters
Example: = (A2 – A1) / 0,5*(A2 + A1)
x = 5 k = 1 k = 2
A = kx + 4000 4005 4010 0,03%
B = kx + 4 9 4 10,87%
THE SYSTEM APPROACH
• interrelations among subsystems and/or elements
• system boundary – environment
• Feedback
Consequence: evaluate „optimal“ solutions in terms of larger framework
The whole is greater than the sum of its individual parts
DECISION ENVIRONMNENTS
• CERTAINTY – relevant parameters have known values
• RISK – certain parameters have probabilistic outcomes
• UNCERTAINTY – it is impossible to assess the likelihood of various possible outcomes
DECISION THEORY
1. Identify possible future conditions – states of nature
2. Develop a list of possible alternatives3. Determine or estimate payoff associated with
each alternative for every possible state of nature
4. Estimate the likelihood of every possible state of nature (if possible)
5. Evaluate alternatives according to decision criterion and select best alternative
PAYOFF TABLE
Alternatives – facility size
Possible future demand
low moderate high
Small 10 10 10
Medium 7 12 12
Large -4 2 16
Decision making under certainty
Choose the alternative with the highest payoff
Demand Highest payoff Best alternative
Low 10 small
Moderate 12 medium
High 16 large
Decision making under uncertainty
• Maximin – determine the worst possible payoff for each alternative, and than choose the alternative with the „best worst“
• Maximax – determine the best possible payoff, and choose the alternative with this payoff
• Laplace - determine the average payoff for each alternative, and choose the alternative with the best average
• Minimax regret - determine the worst regret for each alternative, and than choose the alternative with the „best worst“
• Maximin: worst payoffs are
the best is 10 - choose small facility• Maximax: the best overall payoff is 16 – choose large• Laplace:
• The best average is 10,33 - choose medium
Alternative small medium large
Payoff 10 7 -4
Alternative small medium large
Average payoff 10 10,33 4,67
• Minimax regret:Opportunity loss, regret: subtract every payoff in a column from the largest positive payoff in that column
The lowest regret is 4 – choose medium
Alternative
regrets
worstlow moderate high
Small 0 2 6 6
Medium 3 0 4 4
Large 14 10 0 14
Decision making under risk
• Expexted monetary value (EMV) criterion: calculate expected value (EV) for each alternative and select one with the highest EV
• Appropriate when decision maker is risk-neutral
Alternative probability EV
Small 0,30 10
Medium 0,50 10.5
Large 0,20 3
DECISION TREES
DECISION TREES
• Particularly useful for situations that involve sequential decisions
• Nodes: – decision points – chance events
• Branches leaving alternatives states of nature
DECISION TREES - Example
EXPECTED VALUE OF PERFECT INFORMATION (EVPI)
• Option: postpone a decision, purchase additional information
• Question: is the cost of the option less than the expected gain?
upper limit decision maker should be willing to spend to obtain perfect information
EVPI = expected payoff under certainty - expected payoff under risk
EVPI - example
• expected payoff under certainty = 0,30*10 + 0,50*12 + 0,20*16 = 12,2
• EVPI = 12,2 – 10,5 = 1,7
Demand Best payoff probability
Low 10 0,30
Moderate 12 0,50
High 16 0,20
SENSITIVITY ANALYSIS
State of nature
Alternative #1 #2
A 4 12
B 16 2
C 12 8
Sensitivity Analysis
LINEAR PROGRAMMING (LP)
• Objective function – maximization or minimization
• Decision variables
• Constraints – feasible solution space
• Parameters – fixed values
LP - ASSUMPTIONS
• Linearity (objective function &constraints)
• Divisibility (non-integer values of variables acceptable)
• Certainty (values of parameters known, constatnt
• Non-negativity (negative values of variables unacceptable)
LP – EXAMPLE 1
• Decision variables: x1, x2, x3 – quantities of products to produce
• Maximize profit 5 x1 + 8 x2 + 4 x3
• Subject to constraints:– Labor 2 x1 + 4 x2 + 3 x3 250 hours
– Material 7 x1 + 6 x2 + 5 x3 100 pounds
– Product 1 x1 10 units
– Non-negativity x1, x2, x3 0
LP – solution 1
decision variables
X1 10
X2 5
X3 0
objective function
P 90
constraints
1 40 250
2 100 100
3 10 10
LP – Graphical methodFor two-variable problem, graphical method can be usedExample:
Minimize P = 8x + 12y
Subject to 5x + 2y ≥ 20
4x + 3y ≥ 24
y ≥ 2
x, y ≥ 0
Solution: x = 4,5, y = 2, P = 60
LP – Graphical method
0
2
4
6
8
10
12
0 1 2 3 4 5 6 7 8 9 1 1 1
y1
y2
y3
P
Lesson 10
CONFLICT RESOLUTION
Conflict management
• Conflict cannot always be avoided, but it can be managed
• Sources of conflicts:– Aggressive or conflict-prone personality– Ambiguous or conflicting roles, interdependence– Difference in objectives, values, perceptions– Inadequate authority, oppressive management– Inadequate resources– Unsatisfactory communication
Conflict consequences• Positive:
– Competition tends to enhance the general welfare, if the conflict level is not too high
– Loyalty increases when people unite against a common foe
– If problems are recognized, solutions may be forthcoming
• Negative:– Activities, not results, become important– Attack individual rather than problem– Blocked communication– Need of strong leaders
Two-dimensional model of a conflict
Conflict resolution styles - 1
• Avoidance: no assertiveness, no cooperation – problem solution postponed
• Accommodation: no assertiveness, cooperation – give in
• Collaboration: assertiveness and cooperation -problem solving, win-win
• Competition: assertiveness, no cooperation -win-lose, adhere to rules, do not seek to harm the other’s self-image, impulse to change and improve the organization
• Authoritarianism: aggression, no cooperation
Conflict resolution styles - 2
• Smoothing: low assertion, low cooperation – focus on similarities, seeks resolution, move parties to a common goal
• Superordinate goals: increasing assertiveness, increasing cooperation – attempt to find a common set of objectives, forget the differences
• Bargaining (compromise): moderate assertion, moderate cooperation – give-and-také, both parties satisfy some of their needs
Lesson 11
COMPANY INNOVATION CULTURE
„Successful companies address the human needs and give them priority“
Thomas J. Peters, Robert H.Waterman
COMPANY CULTURE
• Organization culture: a pattern of ideas, opinions and attitudes that majority of people in the company understands, respects, acknowledges, adopts and relates to them.
• Influences the company’s economic success and competitiveness
Main elements of the company culture
• Behavior standards • Key values • Management and leadership style • Roles • Organizational structure and diversification
Influenced by:• Organization’s strategy• Organization’s system• Level of cooperation between the individual organization
structures• Employees’ abilities
Four types of company orientation
Organizations preferring
• power
• roles
• tasks
• human side of their processes and people
MANAGEMENT STYLES
shift from directive to participative style of management
4 basic management styles:• Exploiting authoritative• Benevolent authoritative• Consultative
• Participative
Motivation / performance cycle (MPC)
Motivation / performance cycle (MPC)
1. Are the individuals´s needs satisfied? / Need creation
2. Are organization and manager aware of needs? Are they willing and able to offer need satisfiers?
3. Organization and manager offer extrinsic and intrinsic need satisfiers and rewards
4. The individual searches for alternatives, evaluate the consequences of possible actions, makes a decision
MPC- continued
5. The individual is motivated to expend effort and does so
6. Does the individual have appropriate training, abilities, and tools, and know the objective?
7. Performance
8. Does the individual receive need satisfier? Do the organization and manager provide need satisfier?
MPC- continued
9. Does the individual reassess the situation?
10.Will the individual be motivated in the same way?
Note: normal – individual
italic – organization and manager
Hierarchy of needs (A. Maslow)
1. Physiological needs – immediate survival, food, shelter, clothing, bodily needs
2. Security needs – stability, protection, freedom from fear, provisions for the future
3. Social needs – acceptance, affection, affiliation, love, interaction
4. Esteem needs – self-esteem, esteem of others, status, power, autonomy, competence, prestige, recognition
5. Self actualization – achieving one’s full potential, personal growth, creative fulfillment
Characteristics of peak performers
1. Vision and the ability to plan strategically
2. The drive to surpass previous level of performance
3. High levels of self-confidence and self-esteem
4. A high need for responsibility and control
5. Strong communication and salesmanship skills
Characteristics of peak performers - 2
6. The habit of mentally rehearsing before critical events
7. Little need for outside praise or recognition
8. A willingness to take risks9. The ability to accept feedback and make
self-corrections10.An ownership attitude toward their ideas
and products
Need satisfiers
Frederick A. Herzberg
• Hygiene factors – dissatisfiers, extrinsic (pay, supervision)
• Motivators – satisfiers, intrinsic (achievement, recognition for performance)
Maslow Herzberg
Self-actualization Work itself, achievement, possibility of growth, responsibility
Esteem Advancement, recognition, status
Social Interpersonal relations
Safety and security Company policy, job security
Physiological Working conditions, salary, personal life
The management challenges
1. Recognizing needs
2. The changing nature of individual needs, expectations
3. The impact of cultural diversity on a manager’s ability to recognize needs
4. Being able to choose the right satisfiers and then being able to obtain and offer them
5. Managing the process aspects of the cycle
Lesson 12
INNOVATION PROGRAMS
AND EDUCATION
Paradigm shifts
• Information and knowledge society
• Lifelong learning
• Lean companies, networking
• Information and communication technologies (ICT)– e-business, e-commerce, e-learning, e-
government, e-…, m-…
Learning organization
• The education that does not follow the specific objective and does not improve the results is a luxury the company cannot afford.
• Learning has been effective if a person knows something he has not known earlier and he can do something what he has not been able to do earlier
• The mission of the managerial education is the development of the competencies and performance of managers
• Learn by doing - follow what your more experienced colleagues (but experiment as well)
KEY COMPETENCIES
• technical qualification - technical knowledge, skill, talent and attitudes related technologic, economic, financial, structural and procedural aspects of work
• Soft skills, behavior and acting - related to work with people, influencing the communication and dealing with individuals and groups both within and outside the company.
Company training programs
1. Training programs content, methods and goals must take into account the basics of the managerial work in real situations;
2. Attention should be paid to the improvement of behavior and motivation and not only to acquisition of technical skills;
3. The active training methods should be preferred before passive ones. The abstract concepts should be rooted in the practical experience of companies.
Design of training programs
Define before the start of the training:
• What we want to achieve (goals)
• How we want to achieve the goals (methodology)
• How the progress will be monitored (monitoring)
• How the results will be evaluated (evaluation)
Lesson 13
COURSE CONCLUSION
TERM PAPER PRESENTATIONS
Adapt the knowledge to your culture, local conditions, …
But at the same time, do not over-adapt, try also to affect your environment
Good luck
COMPANY INNOVATION SYSTEM
• Company strategy • Collection of innovation impulses• Setting of priorities• Looking for innovation ideas and their
discussion• Feasibility study • Decision about project preparation • Project preparation • Project implementation • Monitoring of innovation performance
Strategydevelopment
Strategydevelopment
Productdevelopment
Productdevelopment
Designmodificationaccording +customer‘s
requirements
Designmodificationaccording +customer‘s
requirements
Productdelivery
Productdelivery
Development of production capacities
Communication with customer
Idea
Production
Development
MA
RK
ET CUSTOMER
PROCESS MAP
REGULAR „INNOVATION“ MEETINGS
• Sort collected impulses according to their topics• Select the technique for development of innovation
proposals • Present generated innovation proposals and prepare
their preliminary evaluation• Submit results to the management for the decision
about the feasibility study performance for selected proposals
• Report the feasibility study results to the management for the decision about the project development
• Report on – the state of the projects under development– the state of the currently implemented projects– the monitoring of already implemented projects