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

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 | www.infosys.com
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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
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3. ACE 2011 International
Building the intellectual capital of innovative
organizations through ARAS based knowledge platform
Abstract
Building and harnessing the Intellectual capital is a strategic advantage of Innovative
organizations in today's dynamic, global marketplace to improve productivity, quality and
efficiency.
ARAS based knowledge platform provides a collaborative environment for engineers to
enhance productivity and product efficiency through shared knowledge common
knowledge,
processes, standard work, lessons learned and best practices
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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
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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
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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
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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
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8. Vision of a knowledge environment in a global engineering enterprise
for 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
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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 & Pro
Create Des
R&D, Labs Costing MRO Partners
Product Support, Mods
C
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
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10. Managing a Program Lifecycle with a structured KM Framework
cts
Validation
Validation Commerciali
Key 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 Engineering
Crit
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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
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12. ACE 2011 International
ARAS PLM based Knowledge System
ARAS PLM based Knowledge System
A Snapshot of the Knowledge Portal developed in ARAS PLM
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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
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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.
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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..
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16. Knowledge Portal – using ARAS
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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
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18. ACE 2011 International
KM and PLM in Product Innovation
Knowledge 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
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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
Engineer
Domain experts that provide
main source of knowledge and
specification.
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
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20. KM based expert system leverages captured knowledge to automate manual
and 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
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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
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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
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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
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24. Thank You
Knowledge Management Collaboration Framework
Knowledge Management Collaboration Framework
Ramanath Suryaprakash, Engagement Manager, Engineering and PLM
Infosys Technologies Ltd
Infosys Technologies Ltd
www.infosys.com | ramanath_ks@infosys.com | +1‐425‐223‐7655
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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
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26. Building the intellectual capital of innovative organizations through ARAS based
knowledge 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
today's 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
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