Product Lifecycle Management & Big Data. Eduard Marfà / Director EMEA Marketing, Lifecycle Collaboration

Transcription

1 Product Lifecycle Management & Big Data Eduard Marfà / Director EMEA Marketing, Lifecycle Collaboration Smarter decisions, better products.

2 A Complex Engineering Challenge solved with a lot of innovation Landing on Mars is one of the hardest jobs on Earth. On August 5, the Mars rover Curiosity landed successfully on the surface of Mars. There was only one chance to get it right. For this unprecedented challenge, NASA employed Siemens PLM software solutions. The development team at NASA s Jet Propulsion Laboratory digitally designed, tested, assembled, and simulated the entire Mars rover before a single physical prototype was created. Page 2

3 Agenda Big Data. PLM and Big Data Influence Data Organization Data Representation Data Availability Example : SDPD Conclusions Page 3

4 Agenda Big Data. PLM and Big Data Influence Data Organization Data Representation Data Availability Example : SDPD Conclusions Page 4

5 Big Data is.. Page 5

6 PLM is a BIG Data System PLM Systems primary mission is to help users to make the right decisions. More and better information is always needed PLM Systems have the four characteristics that lead to Data complexity: Volume Variety Velocity Validity Product decisions need to include many types of information Designs, Simulation, Documents, Supplier information. Page 6

7 PLM Must Change to Conquer Complexity MORE PEOPLE COLLABORATING... INTRINSICALLY AWARE... SEARCHING RECEIVING THE FOR MORE RIGHT INFORMATION... MAKING INTEGRATED COMPLEX PRODUCT SYSTEMS DECISIONS... UNDER ON TIME PRESSURE WITH WITH LESS GREATER ROOM ACCURACY. FOR ERROR. Page 7

8 Tomorrow s focus must be on complexity management, not simply complexity reduction. The Complexity Challenge A.T. Kearney Page 8

9 Maintaining Market Leadership is More Difficult than Ever How Japan Lost Its Electronics Crown WSJ August 15, 2012 Page 9

10 Agenda Big Data. PLM and Big Data Influence Data Organization Data Representation Data Availability Example : SDPD Conclusions Page 10

11 How Big Data Influences PLM Systems ORGANIZATION REPRESENTATION AVAILABILITY Page 11

12 Organization Delivering Information In Context Anywhere, Anytime Architecture and Variability Modelling Requirement, Function, and Logical Engineering Standardization and Reuse of Models Systems-driven Model Management Visual information correlation & reporting 1D and 3D Closed Loop Simulation, and Test Verification Page 12 Change and Issue identification & Traceability Navigation of dependencies & relationships Integrated embedded software for controls

13 Organization RFLP5 Beyond Just Product Representation What is needed What has to be done How it is done How it is implemented Requirements Functional Logical Physical Design Part Plant Physical Process Globalization, Configuration, Regulatory, and Cost brings more complexity What Part# To Order What is the Mfg. Sequence What Equipment is needed Page 13

14 Humans Understand Products Visually... No Matter What Lifecycle View They Need Providing the necessary breadth, depth and scale Page 14

15 Representation Large Scale Visualization Since the 90 s, Visualization has been all about Brute Force But it has found its ceiling Massive Model Visualization is a strategic visualization technology direction Page 15

16 Representation WYSIWYG in 3D (Visibility Guided Rendering) User View A user is only interested in what he/she is currently interested in Interest is described by the user s viewpoint IT View Need to provide the proper data without external caches Need to deploy across the globe Need to provide the data to the user that he/she is allowed to see Page 16

17 Representation Example Clip of 3D Image Streaming Cadillac CTS with 1M Triangles Larger models render at the same rate, assuming the server has the capacity to load the model Page 17

18 Availability Active Workspace Personal Personalized user experience for role and task Proactive Information actively delivered for decision making Intuitive Clear, discoverable UI to simplify understanding Everywhere Information and capability available anytime, anywhere Page 18

19 Availability Examples of mobile device uses Review parts / documents / requirements Comment using markup Review and approve Search and update metadata and rich text Report a problem Execute work instructions Page 19

20 Availability Data Protection Business Challenges Intellectual Property Data Loss Protection of valuable intellectual property from: Competitors Governments Free Agent Hackers Strength of Authentication User privileges controlling access to data Event logs record of changes Client-server infrastructure security Compliance Global Collaboration Export Control (ITAR) Non-disclosure Agreement (NDA) Supplier security Security classification Strength of Authentication User privileges controlling access to data Event logs record of changes Client-server infrastructure security Page 20

21 Agenda Big Data. PLM and Big Data Influence Data Organization Data Representation Data Availability Example : SDPD Conclusions Page 21

22 PLM s Evolving Role in Accelerating Innovation Initiatives on the path to the vision Realizing value through deeper and broader PLM system adoption Visual Decision Making Systems Driven Product Development Next Generation Manufacturing Advanced Design Current and Future PLM Initiatives Page 22

23 PLM s Evolving Role in Accelerating Innovation Initiatives on the path to the vision Realizing value through deeper and broader PLM system adoption Systems Driven Product Development Current and Future PLM Initiatives Page 23

24 Innovation occurs at the intersection of disciplines 1991 Page Matt Ridley, When Ideas have Sex

25 Innovation occurs at the intersection of disciplines Automotive Industry Balancing Fuel Economy with Brand Performance Pre-program Concept Detailed engineering Structure & Durability NVH and Acoustics Thermal and Energy Safety Driving Dynamic s Validation Chassis and Suspensio n Body Powertrain E&E Full Vehicle Multi-attribute balancing Vehicle integration Mandates Model Based Product Development Systems Engineering Page 25

26 Systems Driven Product Development SDPD SDPD is an open and modular solution to cross-domain collaborative product development, manufacturing and in-service support which fully integrates modeling and simulation to predict product and process performance across a wide range of disciplines and domains, including mechanical, electrical, software and controls. Page 26

27 Systems Driven Product Development Vision, Solutions, and Key Enablers Page 27

28 Systems Driven Product Development Key Use Cases Requirements and System Modeling (Functional, Logical) System Performance Engineering Software Engineering Embedded Software Engineering Page 28

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30 Agenda Big Data. PLM and Big Data Influence Data Organization Data Representation Data Availability Example : SDPD Conclusions Page 30

31 Conclusions Big Data is influencing and shaping the future of PLM and how data is created and consumed by every time more and more specialized users Page 31

32 Thank you Page 32