Building the Intellectual Capital of Innovative Organizations using Aras PLM Platform by Infosys


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Building the Intellectual Capital of Innovative Organizations using Aras PLM Platform by Infosys

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Building the Intellectual Capital of Innovative Organizations using Aras PLM Platform by Infosys

  1. 1. ACE 2011 International Building the intellectual capital of innovative organizations through ARAS based knowledge platform Ramanath Suryaprakash, Premnarayan Sharma and Vinod. G Engineering and PLM Practice,  Infosys Technologies Ltd | www infosys com Infosys Technologies Ltd |
  2. 2. Outline Abstract Challenges and Business Case for Knowledge Management g 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 Summary
  3. 3. ACE 2011 InternationalBuilding the intellectual capital of innovative organizations through ARAS based knowledge platform AbstractBuilding and harnessing the Intellectual capital is a strategic advantage of Innovativeorganizations in todays 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 common knowledge,processes, standard work, lessons learned and best practices
  4. 4. Challenges in Product Development Innovation Gl b li ti 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 Capital  Intellectual Capital • Some industries expect to lose 60 percent of their engineering staff within the next 5 years. • Ageing workforce in aerospace: average age is 49 years • 80% of the knowledge is not documented (Tacit) / spread across disparate systems • Engineers report that they spend 50 percent or more of their time looking for g p y p p f gf the information they need to do their jobs Re‐inventing the wheel, Repeating past mistakes, Schedule delays, Cost  overruns, Data overload, Loss of Productivity  overruns Data overload Loss of Productivity
  5. 5. 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 costs by eliminating redundant or unnecessary processes and procedures Provides a feedback loop to re‐work and re‐use knowledge and drives innovation KM initiative need to cover Search, Taxonomy, Automation, Process Engineering, Product Knowledge, NPI, Program Management and enable innovation in product development process
  6. 6. Role of Knowledge in Innovation Making /doing anything faster , better and cheaper amounts to innovation Knowledge management has a role in all three elements of Innovation • Faster by providing readily available content and ideas, re‐use, productivity improvement, etc. • Better by collaborative effort of experts, Previous / shared / Co‐creation knowledge eliminates redundant work • Cheaper by reducing the time to market, re‐inventing the wheel and increasing individual productivity
  7. 7. Challenges and Enablement for Knowledge Management •People challenges: Who wants to practice it ‐ Create incentives, performance credit •Process challenges: Creating structured knowledge capture and sharing process Challenges 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 • Synergy between PLM and KM Systems • Contextualization, personalization, data abstraction with dashboards • Collaboration tools for community‐building and networking; shared documents; conversations Enablement • Document or knowledge repositories, Expertise directories; Playbooks and cookbooks • Tools for knowledge capture, sharing and presentation • E‐learning tools and applications, personalized portals
  8. 8. Vision of a knowledge environment in a global engineering enterprisefor building innovative products and services Knowledge Environment Knowledge Management Frame‐work Knowledge Systems Engineering Product Knowledge  ‐ Product configurations ‐ Design specifications.  Design, Analysis and Manufacturing Process Knowledge g y g g ‐ Conceptual / Preliminary / Detail design ‐ Optimization (Weight, shape) and analysis ‐ Proprietary manufacturing techniques KNOWLEDGE REPOSITORY
  9. 9. Knowledge Systems draw‐in engineering knowledge of multiple disciplines across the product lifecycle in an engineering enterprise and PLM systems maintain the Single Source of Truth Multiple Programs – New, Derivatives, Modifications, … Conceptual  Preliminary  Integration and  Detailed Design Manufacturing Support Design Design Testing Engineering Knowledge Base ledge Loads Knowledge Capture & Repository Manufacturing g ocess  Knowl sign Rules Weights Interiors  Structures Tooling Design/Build Partners Systems Post Production Post‐Production roduct & ProCreate Des R&D, Labs Costing MRO Partners Product Support, ModsC Configuration Certification Enrich Pr KBE Tools & Processes Design Manufacturing Stress Integration PDM Testing g Repair p KM based systems manage the knowledge creation,  consumption; PLM systems manage the Data
  10. 10. Managing a Program Lifecycle with a structured KM Framework cts Validation Validation  CommercialiKey Life Cycle aspec l Proposal f Definition l Development Retirement and Scale up zation Customer Needs System  Final Design Process Validation Quality Assurance Recycle Strategic Plans Requirements Design Verification Design Validation Sustaining  Compliance Design definition Production process  Product Release Engineering Review and  definition Evaluation Knowledge Management Framework Envisaging structured knowledge management solution to effectively identify and  empower the critical processes that drive the product lifecycle t Processes Peer Review Project Documentation Project Management tical Support Design Assurance Technical Standards Security Risk Assessment Reliability EngineeringCrit
  11. 11. Synergy of KM and PLM in Innovation Islands of  Information Leads to integrated PLM environment Varying  Multi‐Lingual Common processes through Planning, Engineering,  Procedure &  Environment Manufacturing and Service/Support groups Standards Bringing interoperable  and open platform for  information and data sharing information and data sharing PLM  PLM Landscape Configuration and change management Complex  C l Change  Change Technology  Management  Leveraging open, service oriented model based  Landscape technology  Issues Share the product knowledge across geographies,  applications, organizations and supply chain applications, organizations and supply chain Global Product  Development Challenges in Product  Innovation development
  12. 12. ACE 2011 InternationalARAS PLM based Knowledge SystemARAS PLM based Knowledge SystemA Snapshot of the Knowledge Portal developed in ARAS PLM
  13. 13. KM solution using ARAS A complete solution to manage knowledge content through its lifecycle Controlled Lifecycle for Regulated content Change,  Authoring Review Approval Release Archive or  Retire Review Approve Complies with various regulations Can be enabled with easy search Enables integration of people, processes and tools Author Deploy Request Change Archive
  14. 14. Knowledge Management Solution through ARAS Content Consumption User access content through Knowledge Portal the portal. User interface is highly customized Content Generation Admins & Content creators HTML DOC use ARAS Innovator to make ARAS Innovator and publish content through Content repository forms and editors Meta Data ARAS database stores metadata of the content like links , authorization ARAS Database etc.
  15. 15. Knowledge Portal – using ARAS Search Welcome 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..
  16. 16. Knowledge Portal – using ARAS
  17. 17. Social PLM elements is being implemented in the ARAS System Bl Blog Wiki C ll b i Collaboration Blog entries for PLM processes Collaborative portal Linking people who are working  /have worked on common   /have worked on common tasks, changes, issues Free flow of information, open  Feedback and comments by  for editing by anyone and  users Content creation and co‐ y everyone creation Discussion threads on feedback  Multimedia content responses Virtual teaming (create, edit,  review, approve and publish the  content) Blog entries to formal process  Easy capture and Sharing of  transformation knowledge  Creative expression Empowering, engaging and  productive learning
  18. 18. ACE 2011 InternationalKM and PLM in Product InnovationKnowledge is developed and leveraged in 2 stage process  • Product knowledge is consolidated and linked with product data by PLM  d k l d ld d dl k d h d d b enabled knowledge portal• Knowledge engineers develop expert systems and automate repetitive  and manual PLM processes  d l PLM
  19. 19. Informal and Formal Knowledge is captured in KM Systems and Processes and consolidated in PLM System  Central players that orchestrate the capturing and formalizing activities. Knowledge  Knowledge KMPL EngineerDomain experts that providemain source of knowledge andspecification. p Developers who builds software, Software  S f Expert Developer based on requirements set by knowledge engineers. KBE  Ultimate customers of End User End User Application  Application the KBE application. & Process
  20. 20. KM based expert system leverages captured knowledge to automate manualand repetitive processes, executable through PLM system transparently Engineering DSM Software DSM Informal knowledge  Product and Process  UML based  models – knowledge models  Application/software   Knowledge based  System Charts/ICARE forms (UML based) Model Presentation/UI Layer/Batch Output Design Data Middle Layer Interface Core Logic Input/Rules Geometry CADDS, CATIA Interface Generation V4, V5 etc. External and Shared Libraries, Utilities , KBE/ICAD System Platform independent Platform Specific Knowledge Process architecture
  21. 21. Leveraged Knowledge brings down the cost and time significantly Tangible b T ibl benefits fit • Reduction in Total Flow Time Time/Effort for product development • Productivity Improvement through knowledge capture and re-use and re-engineering of processes. • Automate Repeatable / Manual Processes Traditional   approach Routine– 80% Creative– 20% • Enable Innovation through Rapid Iterations for incremental improvement • Data Interfaces between several tools, people and data and decision Lean &  Intangible benefits Smart  Routine – Creative– 80% approach 20% • Common Process in long term g More • Capture of Intellectual Assets • Quicker learning curve • Consistent output across teams Product Lifecycle • Reduced human errors and fatigue from repetitive task and more creative time • Integration of teams from multiple disciplines Customization of Best Practices, structured process flow driving innovation and Embedding Product Knowledge through the product development process
  22. 22. 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 people •S i l Social PLM and KM d Process Orchestration between People and systems
  23. 23. Summary 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 functions
  24. 24. Thank YouKnowledge Management Collaboration FrameworkKnowledge Management Collaboration Framework Ramanath Suryaprakash, Engagement Manager, Engineering and PLM Infosys Technologies Ltd    Infosys Technologies Ltd | | +1‐425‐223‐7655
  25. 25. About me… Ramanath Suryaprakash   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 space  customization. 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) and other products for 6 years. His  CD ADAPCO (CFD) d th d t f 6 Hi current engagement is related to managing large  engineering engagements in aerospace, hi‐tech and  discrete manufacturing, oil & gas, mining and retail   g, g , g sectors. His areas of interest include lean, applied  knowledge management, Optimization and PLM   Bio Data
  26. 26. Building 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 core knowledge is built over the years through product and process experience, generated ideas, lessons learned, retired applications, experienced workforce who move across programs and companies. There is a emerging need to develop an integrated knowledge based environment through a collaborative content management system, document management system and knowledge system which enables capture informal and formal knowledge about products and processes. A system that enables search relevant information, execute engineering applications, interface several engineering systems (PLM ERP MES QMS CAD CAE); and rapidly re‐engineer and develop lean processes to (PLM, ERP, MES, QMS, CAD, increase productivity. Building and harnessing the Intellectual capital is a strategic advantage of Innovative organizations in todays dynamic, global marketplace to improve productivity, quality and efficiency. ARAS based knowledge platform provides the essential elements to develop and integrate with the best of breed associate systems in a services based architecture. The purpose of the solution is to showcase how 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 product efficiency through shared knowledge, common processes, standard work, lessons learned and best practices Extended Abstract