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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Knowledge Portal – using ARASKnowledge Portal – using ARAS

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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 | ramanath_ks@infosys.com | +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