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ACE 2011 International
Building the intellectual capital of innovative organizations through ARAS based knowledge platform
Ramanath Suryaprakash, Premnarayan Sharma and Vinod. GEngineering and PLM Practice, Infosys Technologies Ltd | www infosys comInfosys Technologies Ltd | www.infosys.com
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OutlineOutline
Abstract
Challenges and Business Case for Knowledge Managementg g g
Synergy of KM and PLM in Innovation
Knowledge Portal developed in ARAS PLM
KM expert system leveraging the formal and informal Knowledge captured
Benefits
SummarySummary
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ACE 2011 International
Building the intellectual capital of innovative organizations through ARAS based knowledge platform
Building and harnessing the Intellectual capital is a strategic advantage of Innovative
Abstract
organizations in today's dynamic, global marketplace to improve productivity, quality andefficiency.
ARAS based knowledge platform provides a collaborative environment for engineers toenhance productivity and product efficiency through shared knowledge commonenhance productivity and product efficiency through shared knowledge, commonprocesses, standard work, lessons learned and best practices
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Gl b li ti
Challenges in Product Development InnovationChallenges in Product Development Innovation
Globalization• Fragmented, scattered knowledge and intellectual property across multiple,heterogeneous systems.
•Multi‐vendor, Geographic spread, product to component specific knowledge• Rippling effect of changes in configuration, requirements
Intellectual CapitalIntellectual Capital • Some industries expect to lose 60 percent of their engineering staff within thenext 5 years.
• Ageing workforce in aerospace: average age is 49 years• Ageing workforce in aerospace: average age is 49 years• 80% of the knowledge is not documented (Tacit) / spread across disparatesystems
• Engineers report that they spend 50 percent or more of their time looking forg p y p p f g fthe information they need to do their jobs
Re‐inventing the wheel, Repeating past mistakes, Schedule delays, Cost overruns Data overload Loss of Productivity
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overruns, Data overload, Loss of Productivity
Business Context – Knowledge Management?Business Context – Knowledge Management?
Fosters innovation by encouraging the free flow of ideas;Encourages engineers with innovation and creativity
Streamlines productivity and operations and reduces costsby eliminating redundant or unnecessary processes andprocedures
Provides a feedback loop to re‐work and re‐use knowledgeand drives innovation
KM initiative need to cover Search, Taxonomy, Automation,Process Engineering, Product Knowledge, NPI, ProgramManagement and enable innovation in product developmentprocess
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Role of Knowledge in InnovationRole of Knowledge in Innovation
Making /doing anything faster , better and cheaper amounts toinnovation
Knowledge management has a role in all three elements ofInnovationInnovation
• Faster by providing readily available content and ideas, re‐use,productivity improvement, etc.
• Better by collaborative effort of experts, Previous / shared / Co‐creationknowledge eliminates redundant work
• Cheaper by reducing the time to market, re‐inventing the wheel andincreasing individual productivity
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Challenges and Enablement for Knowledge ManagementChallenges and Enablement for Knowledge Management
•People challenges: Who wants to practice it ‐ Createincentives, performance credit
•Process challenges: Creating structured knowledge captureand sharing process
Ch ll •Technology: Scalable and futuristic technology•Business Case: Monetization, ROI, Urgency, Funding Source– Program or Core team
•Formal and Informal Sources of Knowledge: creation, Search
Challenges
• Synergy between PLM and KM Systems• Contextualization, personalization, data abstractionwith dashboardswith dashboards
• Collaboration tools for community‐building andnetworking; shared documents; conversations
• Document or knowledge repositories, Expertisedirectories; Playbooks and cookbooks
Enablementdirectories; Playbooks and cookbooks
• Tools for knowledge capture, sharing andpresentation
• E‐learning tools and applications, personalized portals
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Vision of a knowledge environment in a global engineering enterprisefor building innovative products and servicesVision of a knowledge environment in a global engineering enterprisefor building innovative products and services
Knowledge Environment
Knowledge ManagementFrame‐work
Knowledge Systems
Engineering Product Knowledge
‐ Product configurations
‐ Design specifications.
Design, Analysis and Manufacturing Process Knowledgeg y g g
‐ Conceptual / Preliminary / Detail design
‐ Optimization (Weight, shape) and analysis
‐ Proprietary manufacturing techniques
KNOWLEDGE REPOSITORY
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Knowledge Systems draw‐in engineering knowledge of multiple disciplines across theproduct lifecycle in an engineering enterprise and PLM systems maintain the SingleSource of Truth
Knowledge Systems draw‐in engineering knowledge of multiple disciplines across theproduct lifecycle in an engineering enterprise and PLM systems maintain the SingleSource of Truth
Conceptual Design
Preliminary Design Detailed Design Manufacturing Integration and
Testing Support
Multiple Programs – New, Derivatives, Modifications, …Multiple Programs – New, Derivatives, Modifications, …
ledgeEngineering Knowledge Base
Knowledge Capture & RepositoryLoads Manufacturing
ocess Kno
wl
sign
Rules
Interiors Structures Tooling
g
Weights
Systems
Design/BuildPartners
Post‐Production
rodu
ct & Pro
Create Des
Configuration Certification
Systems CostingR&D, LabsPost Production
Product Support, Mods MRO Partners
Enrich PrC
Repair
KBE Tools & ProcessesDesign
StressManufacturing
IntegrationPDM
Configuration
Testing
Certification
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pg
KM based systems manage the knowledge creation, consumption; PLM systems manage the Data
l f l Validation Commercialicts
Managing a Program Lifecycle with a structured KM FrameworkManaging a Program Lifecycle with a structured KM Framework
Proposal Definition Development Validation and Scale up
Commercialization Retirement
Customer NeedsStrategic Plans
System Requirements
Final DesignDesign Verification
Process ValidationDesign Validation
Quality AssuranceSustaining
RecycleComplianceCy
cle aspe
c
Design definitionReview and Evaluation
Production process definition
Product Release Engineering
Key Life
Knowledge Management FrameworkEnvisaging structured knowledge management solution to effectively identify and
empower the critical processes that drive the product lifecycle
Peer Review Project Documentation Project Management
t Processes
Security Risk Assessment
Design Assurance Technical Standards
Reliability Engineering
tical Sup
port
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Crit
Synergy of KM and PLM in InnovationSynergy of KM and PLM in Innovation
Islands of Information
Leads to integrated PLM environment
PLM
Multi‐Lingual
Environment
Varying Procedure & Standards
Common processes through Planning, Engineering, Manufacturing and Service/Support groups
Bringing interoperable and open platform for information and data sharingPLM
Landscape
ChangeC l
information and data sharing
Configuration and change management
Change
Management
Issues
Complex Technology Landscape
Leveraging open, service oriented model based technology
Share the product knowledge across geographies, applications, organizations and supply chain
Global Product Development
applications, organizations and supply chain
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InnovationChallenges in Product development
ACE 2011 International
ARAS PLM based Knowledge SystemARAS PLM based Knowledge System
A Snapshot of the Knowledge Portal developed in ARAS PLM
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KM solution using ARASKM solution using ARAS
Controlled Lifecycle for Regulated content
A complete solution to manage knowledge content through its lifecycle
ApproveReviewAuthoring Review Approval Release
Change, Archive or Retire
Complies with various regulations
DeployAuthorCan be enabled with easy searchEnables integration of people, processes and tools
Request Change
Archive
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Knowledge Management Solution through ARASKnowledge Management Solution through ARAS
Knowledge Portal
Content Consumption
User access content throughthe portal. User interface ishighly customized
HTML DOCContent Generation Admins & Content creators
use ARAS Innovator to makeARAS Innovator
Content repository
use ARAS Innovator to makeand publish content throughforms and editors
ARAS Database
Meta Data
ARAS database stores metadata ofthe content like links , authorizationetc.
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Knowledge Portal – using ARASKnowledge Portal – using ARAS
SearchWelcome Ram ..
Article on overview of HTML5 standard
Update on company annual financial results..
Aero-Express daily update…
Knowledge based engineering.. (KBE)
The advent of smartphones..
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Bl Wiki C ll b i
Social PLM elements is being implemented in the ARAS SystemSocial PLM elements is being implemented in the ARAS System
Blog
Blog entries for PLM processes
Wiki
Collaborative portal
Collaboration
Linking people who are working /have worked on common
Feedback and comments by users
Free flow of information, open for editing by anyone and everyone
/have worked on common tasks, changes, issues
Content creation and co‐
Discussion threads on feedback responses
y
Multimedia content
creation
Virtual teaming (create, edit, review, approve and publish the
Blog entries to formal process transformation
Easy capture and Sharing of knowledge
content)
Creative expression
Empowering, engaging and productive learning
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ACE 2011 International
KM and PLM in Product Innovation
Knowledge is developed and leveraged in 2 stage process d k l d l d d d l k d h d d b• Product knowledge is consolidated and linked with product data by PLM
enabled knowledge portal• Knowledge engineers develop expert systems and automate repetitive
d l PLMand manual PLM processes
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Central players that orchestrate
Informal and Formal Knowledge is captured in KM Systems and Processes and consolidated in PLM System Informal and Formal Knowledge is captured in KM Systems and Processes and consolidated in PLM System
Knowledge
Central players that orchestratethe capturing and formalizingactivities.
KMPLKnowledge Engineer
S f
Domain experts that providemain source of knowledge andspecification. Developers who builds software,Software
DeveloperExpertp Developers who builds software,
based on requirements set byknowledge engineers.
KBE ApplicationEnd UserUltimate customers of Application & Process
End UserUltimate customers ofthe KBE application.
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KM based expert system leverages captured knowledge to automate manualand repetitive processes, executable through PLM system transparentlyKM based expert system leverages captured knowledge to automate manualand repetitive processes, executable through PLM system transparently
Engineering DSM Software DSM
Informal knowledge models –
Charts/ICARE forms
UML based Application/software
ModelKnowledge based System
Product and Process knowledge models
(UML based)
Middle LayerCore LogicGeometry
Generation
Design Data
Input/Rules Interface
Output Interface
CADDS, CATIA V4, V5
etc.
Presentation/UI Layer/Batch
External and Shared Libraries, Utilities
KBE/ICAD System
,
Platform independent Platform Specific
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Knowledge Process architecture
Leveraged Knowledge brings down the cost and time significantlyLeveraged Knowledge brings down the cost and time significantly
T ibl b fitTime/Effort for product development
Tangible benefits• Reduction in Total Flow Time• Productivity Improvement through knowledge
capture and re-use and re-engineering of
Creative– 20%Routine– 80%Traditional approach
processes.• Automate Repeatable / Manual Processes• Enable Innovation through Rapid Iterations for
incremental improvement• Data Interfaces between several tools, people
Intangible benefits• Common Process in long term
Routine –20%
Creative– 80%
Lean & Smart
approach More
and data and decision
g• Capture of Intellectual Assets• Quicker learning curve• Consistent output across teams• Reduced human errors and fatigue from
repetitive task and more creative time
Product Lifecycle
Customization of Best Practices, structured process flow driving innovation and Embedding Product Knowledge through the product development process
repetitive task and more creative time• Integration of teams from multiple disciplines
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Embedding Product Knowledge through the product development process
Ongoing areas of research Ongoing areas of research
Web services based computing – to improve processes and productivity • Linking the ontology and semantic web services into PLM system• Adoption of common standards to enhance business processes across enterprises,integrating cross‐organizational processes.
Integrating engineering tools, workflow, processes, knowledge and data • Accessing them, executing them through a single platform
Collaboration between peopleS i l d• Social PLM and KM
Process Orchestration between People and systems
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SummarySummary
Knowledge capture, sharing and reuse of knowledge enables productivity and growth
Applied Knowledge through automation in Knowledge based systems provides business impact
Leveraging knowledge management systems and processes to foster innovation in product development
PLM Systems such as ARAS PLM provide an ideal platform
• Facilitates Agile implementation• Facilitates Agile implementation• Integration, Open for adaptation and versatile• PLM with CMS, DMS, Collaboration, BI, Search and collaboration functions
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functions
Thank You
Knowledge Management Collaboration FrameworkKnowledge Management Collaboration Framework
Ramanath Suryaprakash, Engagement Manager, Engineering and PLM
Infosys Technologies LtdInfosys Technologies Ltd
www.infosys.com | [email protected] | +1‐425‐223‐7655
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Ramanath Suryaprakash
About me…About me…
Ramanath Suryaprakash Practice Engagement Manager, Engineering and PLM, Infosys Technologies Limited
Ramanath Suryaprakash has more than 25 years of experience in engineering and enterprise software design, development, implementation and customization. He was involved in Indian spacecustomization. He was involved in Indian space programs related to spacecraft structural design and development for 11 years; Engineering Consulting and Business Development in MSC Software (FEM), CD ADAPCO (CFD) d th d t f 6 HiCD‐ADAPCO (CFD) and other products for 6 years. His current engagement is related to managing large engineering engagements in aerospace, hi‐tech and discrete manufacturing, oil & gas, mining and retail g, g , gsectors. His areas of interest include lean, applied knowledge management, Optimization and PLM
Bio Data
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Building the intellectual capital of innovative organizations through ARAS basedknowledge platformBuilding the intellectual capital of innovative organizations through ARAS basedknowledge platform
80% of an organization’s knowledge is not documented / accessible in a structured manner. The coreknowledge is built over the years through product and process experience, generated ideas, lessonslearned, retired applications, experienced workforce who move across programs and companies.
There is a emerging need to develop an integrated knowledge based environment through aThere is a emerging need to develop an integrated knowledge based environment through acollaborative content management system, document management system and knowledge systemwhich enables capture informal and formal knowledge about products and processes. A system thatenables search relevant information, execute engineering applications, interface several engineeringsystems (PLM ERP MES QMS CAD CAE); and rapidly re‐engineer and develop lean processes tosystems (PLM, ERP, MES, QMS, CAD, CAE); and rapidly re‐engineer and develop lean processes toincrease productivity.
Building and harnessing the Intellectual capital is a strategic advantage of Innovative organizations intoday's dynamic, global marketplace to improve productivity, quality and efficiency.
ARAS based knowledge platform provides the essential elements to develop and integrate with the bestof breed associate systems in a services based architecture. The purpose of the solution is to showcasehow ARAS can be used as a KM solution for capturing and sharing knowledge on tools, templates,checklists, instructions etc. during the product development process.
ARAS can provide a collaborative environment for engineers to enhance productivity and productefficiency through shared knowledge, common processes, standard work, lessons learned and bestpractices
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Extended Abstract