Closing the Life Cycle loop

Transcription

1 Closing the Life Cycle loop Torbjörn Holm

2 Items Trends impacting us all Global megatrends Technology trends Is Technology the answer? Going Circular No Choice Results from ResCoM Recover value Try it! Smart Manufacturing and Industrie 4.0 Smart Devices Model Based Definition, Digital Twin and Thread What they are and how they relate Conclusion

3 Trends impacting us all

4 Global Megatrens (Hay Group Leadership 2030) 1. Globalization 2.0. A new economic world order is emerging. Power is shifting to fast-developing markets in Asia (China in particular) and away from old economies. 2. Environmental crisis. Critical natural resources are becoming scarcer and climate change more threatening as a result of human activity. 3. Individualization and value pluralism. Growing affluence in emerging markets will drive increasingly individualistic attitudes in more parts of the world. People will come to expect their individual needs to be catered to, as both customers and employees. 4. The digital era. Living and working with digital technology is becoming the norm. Digital platforms are shifting power from organizations to consumers and employees particularly younger digital natives and breaking down old divisions between personal and professional life. 5. Demographic change. A burgeoning and rapidly aging world population will transform markets and place enormous pressure on social structures and welfare systems. This will result in a shrinking global workforce, sparking a war for talent among organizations on an unprecedented scale. 6. Technological convergence. Scientific progress in fields such as nanotechnology and biotechnology will transform many areas of our lives, the greatest advances resulting from the combination of these technologies. This wave of innovation will create untold new product markets.

5 Technology Trends 2018 (Gartner 2018)

6 Technology Trends 2018 (Gartner 2018) 1. AI Foundation 2. Intelligent Apps and Analytics 3. Intelligent Things 4. Digital Twins 5. Cloud to the Edge 6. Conversational Platforms 7. Immersive Experience 8. Block chain 9. Event-Driven Model 10.Continuous Adaptive Risk and Trust

7 Is Technology the answer? AI Foundation Intelligent Apps and Analytics Intelligent Things Digital Twins Cloud to the Edge Conversational Platforms Immersive Experience Block chain Event-Driven Model Continuous Adaptive Risk and Trust Globalization 2.0 Enviromental crisis Individualizati on and value pluralism Demographic change Is Technology the answer? No, but it may be a good enabler!

8 Going Circular

9 Global Megatrend: Environmental Crisis -> Needs to go circular

10 What is needed?

11 ResCoM 1(2)

12 ResCoM 2(2) Will be proposed as an ISO standard!

13 Recover value Few Euros worth of precious metals Worth several hundred Euros after update

14 ResCoM try the tools and methods platform-and-tools

15 Smart Manufacturing and Industrie 4.0

16 Transition to Smart Manufacturing and Circular Economy reinforce each other: 1. Smart Manufacturing, Internet of Things (IoT) & data analytics: Products that are connected to the IoT allow manufacturers to control and analyze their performance at a distance and collect usage data. This provides needed to optimize the reverse supply chain of circular economy. Required for cost effective Product-as-a-Service business. 2. Manufacturing automation and Robotics: Human errors are the most common cause of product errors, both during the initial manufacturing process, re-manufacturing and in the use of the product. Robots and automation increase yield and reduce waste and extends product life times. 3. Additive manufacturing and 3D printing: The use of 3D printing for the on-demand production of spare parts improves maintainability and extends the life cycle of products and equipment. It also affects product design in that future 3D part maintenance can be built in to the process.

17 Smart Manufacturing and Industrie 4.0 1(2) Smart Manufacturing ISO proposed definition: "A domain of integrated processes and resources (cyber, physical, human) to create and deliver products and services, which also collaborates with other domains within an enterprise's value chain and improves its performance aspects." Note 1: Performance aspects include agility, efficiency, safety, security, sustainability or any other performance indicators identified by the enterprise. Note 2: In addition to manufacturing, other enterprise domains can include engineering, logistics, marketing, procurement, sales or any other domains identified by the enterprise.

18 IEC/ISO Joint Working Group 21 Define a common standarized Reference Model for Smart Manufacturing Input from main industrial countries including China, Japan, Germany and US.

19 Smart Manufacturing and Industrie 4.0 2(2)

20 Main aspects

21 Industrie 4.0 Components

22 Smart devices and less smart devices Administration shell carried by the Smart Device or managed in a location separated from the device

23 Process Levels Identify Asset Identify Usage Context Observe / Identify event Trigger Action Comment Intelligent devices Machine reading long distance Context from swarm of devices or central system Analysis in intelligent device Swarm of devices supported by central system Intelligent devices communication much less data centrally Sensors Machine reading long distance Context from central system Analysis of streaming data machine learning Central system (human planning involvement) A lot off data communicated to central systems RFID Machine Reading short distance Context from central system Human analysis supported by central system Central system (human planning involvement) Supports automatic reading of data at specific locations Bar Code/QR Human Managed machine supported reading Context from central system Human analysis supported by central system Central system (human planning involvement) Traditional marking Human Reading Human Reading - Context from central system Human analysis supported by central system Human decision supported by central system

24 Model Based Definition, Digital Twin and Thread

25 Model Based Definition Shape Behavior Context Digital Twin mirrors an individual asset. Refers to product type information. geometry materials assembly topoglogy process machining Digital Thread goes through Both type and individual information. logic dim./tol. usage constraints physics retirement Today Required

26 Digital Twin A digital twin can be defined, fundamentally, as an evolving digital profile of the historical and current behavior of an individual product (physical object or process) that helps optimize business performance. Model Based Definition Shape Behaviour Context Near real time digital image of a product Context updated through usage, maintenance and environment information Sensors gives close to real time updates of product properties Linkage between real and digital world Supports on line analysis and what if simulations based on current real time data AI used to draw conslusions of product transients Feed back loops to earlier phases in the product life cycle New usage patterns Superior feed back to re-manufacturing and new designs End of life Use/Maintain Market Need ISO Digital 233, Twin 239 and 242 Manufacturing Product Definition

27 Digital Thread The Digital Thread Utilize, in our case, the well defined relations in the PLCS Product Life Network Model (AP233 + AP239 + AP242 + standardized reference data)

28 Conclusions

29 Fast emerging technology can adress part of the problems related to the Global Megatrends Globalization, Environmental Crisis and Demographic changes Product Life Cycle circularity is the most promising way to adress resource scarcity To design and plan for multiple life cycle of a product is possible and recommended Linear Product Life Cycle can be extended to support reverse supply chain and to Close The Product Life Cycle loop ISO Product Life Cycle Support has been proven to support also circular Product Life Cycles Smart Manufacturing is an enabler for product life cycle circularity and resource conservatism Digital Twin and Digital Thread needs to be use a Model Based Definition To support a Digital Twin through a Product Life Cycle International Standards needs to be applied. ISO Systems engineering data representation ISO Product life cycle support ISO Managed model based 3d engineering Covers the need of a Model Based Definition

30 Thank You