Industrial Value Chain Reference Architecture

Transcription

1 Industrial Value Chain Reference Architecture 24 April 2017 at Hall 8 Stand D19 Yasuyuki Nishioka, Prof. Dr. Hosei University Industrial Value Chain Initiative

2 Outline 1. Scenario-based Use Case for Practical Concern 2. Kaizen Approach Using Loosely Defined Standard 3. IVRA: Industrial Value Chain Reference Architecture 4. IVI Platform for Smart Manufacturing Ecosystem 2

3 IIoT/Smart Manufacturing Initiatives in Japan IoT for all Industries and Society Industrial Value Chain Initiative Membership (as of Apr. 20, 2017): Large manufacturers Small and midsized manufacturers Supporting member organizations Sponsor member organizations Academic members Individuals IoT Acceleration Consortium Robot revolution society Robot Revolution Initiative Smart Manufacturing Industrial Value Chain Initiative IoT Acceleration Lab WG3 WG2 WG1 Interrelated Robot Innovation Robot Usage Promotion IoT-driven Transformation in Manufacturing 3

4 IIoT/Smart Manufacturing Initiatives in Japan IoT for all Industries and Society IoT Acceleration Consortium Committees Business Cooperation Future Project IoT Acceleration Lab Standard Model Robot revolution society Robot Revolution Initiative WG3 WG2 Platform Robot Innovation IIoT Infrastructure SME Networking Robot Usage Promotion Cross Industry Smart Manufacturing Industrial Value Chain Initiative WG1 Data Sovereignty IoT-driven Transformation in Manufacturing IP Promotion Awards Advisory Interrelated Publicity 4

5 Scenario working groups and use cases A01 Digitalization of process information and know-how on manufacturing 2A02 Connection of information on production preparation at design change 2B01 Utilization of robot program assets by CPS 2C01 Agile planning of production with real-time data on workers and things 2C02 Position control system for things at low cost 2D02 IoT to support workers in flexible manufacturing in kinds and volume 2E01 Traceability of quality data 2E02 Real-Time Management of Quality Data 2F01 Promotion of CPS in supply chain with standard interface 2F02 Promotion of CPS in supply chain with standard interface (shipping logistics) 2G01 Collaboration among companies through shared process information 2G02 Managing manufacturing progress and delivery time among plants 2H01 Sharing technical information for horizontal integration of SMEs 2H02 Horizontal integration of SMEs and visualization of process information 2H03 Service for SMEs to notice information on manufacturing progress 2J01 Manufacturing innovation for interactive growth between human and plant equipment 2K01 Predictive maintenance of presses and panel transportation devices 2K02 Inclusive PM / Predictive maintenance for ALL 2K03 Predictive maintenance system to detect signs of equipment abnormality at low cost 2L01-1 Smart maintenance with machine IoT data 2L01-2 Smart maintenance with digitalization of knowledge 2L04 Productivity improvement by visualization of equipment and workers 2L05 Mutual accommodation of facilities through shared production information 2L06 Managing Actual Operation Status of all Equipment in a Plant 2M01 Increasing added value of after-sales service Quality management information Supply chain management Production engineering information Preventive maintenance Maintenance service management Production planning and control SME all-in-one information Asset and equipment management 5

6 Scenario categories in smart manufacturing Single process Multiple process Production Engineering Quality Management 2E01 2B01 Production engineering 2A01 information 2A02 Quality management information 2D02 2E02 Production Management 2H01 SME all-in-one information 2H02 2H03 Production planning 2C01 and control 2C02 2F01 2F02 Supply chain management 2G01 2G02 Maintenance Management Precision level 2L01-1 Asset and equipment 2L01-2 management 2J01 2L06 2K03 Preventive maintenance within enterprise 2K02 2L04 2L05 2K01 Maintenance service management Inclusive preventive maintenance between enterprises 2M01 6

7 2K02: Inclusive Predictive Maintenance 7

8 2K02: Inclusive Predictive Maintenance 8

9 Outline 1. Scenario-based Use Case for Practical Concern 2. Kaizen Approach Using Loosely Defined Standard 3. IVRA: Industrial Value Chain Reference Architecture 4. IVI Platform for Smart Manufacturing Ecosystem 9

10 SMU and bottom up modeling Management View xx for Cost xx for Quality Plant info. Smart Manufacturing Unit xx for Delivery Personnel Plant [Asset View] Plant / Product / Process / Personnel [Management View] Quality / Cost / Delivery / Environment [Activity View] Plan / Do / Check / Action Product info. Product Process Asset View AS-IS Management View Activity View xx for Cost xx for Quality Plant info. Plan xx for Delivery Plant Do TO-BE Environment Environment Personnel Action Check Product info. Product Process Asset View 10

11 PDCA cycle of continuous improvement Action Product info. Plan Product info. Product Product Plant info. Plant Process info. Action Plan Plant info. Plant Process info. Check Product info. Check Do Do Product info. Product Product Plant info. Plant Process info. Plant info. Plant Process info. 11

12 Design Tool for Cyber Physical System actor Function chart editor Cyber world activity place information thing data Physical world Scenario chart editor function 12

13 Modeling and meta-model repository Cyber world IoT Data Thing Physical world Actor Function Data Action Action Action Activity Function Data Object model Information Occurrence * Thing attribute * Thing Actor Data Data * attribute * 0.1 * {xor} * Action * Activity * * 0.1 Function Map * Info. attribute * Information Information Occurrance 13

14 Profile for system integration Level Common Reference Architecture Platform Reference Model Platform Implementation Model Unified Data Model Refer Domain Data Model Refer Common Data Model Refer Quantity = 1 (standards body) = number of Categories (working group) = number of platforms (platformer) Unified Data Model (ontology) Implem entation data models Common data models X Platform Model Domain Data Model Domain Data Model Y Platform Model Component profile Z Platform Model Platform profile Common Data Model Component Implementation Implementation Data Model = number of components (component supplier) Site A Component Component Component Component Implementation Data Model Site B Site C Site D 14

15 Loosely Defined Standard (LDS) Interface is adjusted Specification For Connection Connected operations in site A Connected operations in site B Interface Reference model Interface Specification is adjusted Loosely defined standard Connected operations in site A Specification For Connection Connected operations in site B 15

16 Outline 1. Scenario-based Use Case for Practical Concern 2. Kaizen Approach Using Loosely Defined Standard 3. IVRA: Industrial Value Chain Reference Architecture 4. IVI Platform for Smart Manufacturing Ecosystem 16

17 Smart Manufacturing Unit and General Function Blocks Activity View General Function Blocks (GFB) for smart manufacturing Asset View Enterprise Personnel Process Product Plant Smart Manufacturing Unit Department Floor Environment Delivery Device Cost Quality Management View Knowledge / Engineering Flow After Service Sales and Logistics Manufacturing Execution Material Procurement Master Planning 17

18 PLU for connected manufacturing Smart Manufacturing Unit (SMU) Between enterprises Open connected world $ Thing Portable Loading Unit (PLU) Information Data Value Openness of the Factory $ Within an enterprise ID ID SMU-1 ID SMU-2 Reliable Connection Center RCC-1 Security Gate Security / Traceability ID ID $ SMU-3a Connected World ID ID RCC-2 SMU-3c SMU-3b ID SMU-4a Security Gate SMU-4b ID $ Closedness of the Factory Between enterprises ID 18

19 Mapping from IVRA to RAMI 4.0 Activity View Business Layer Asset View Personnel Process Product Plant Environment Delivery Cost Quality Management View Asset Layer Software, Physical assets General, and Human 19

20 Activity View of SMU Action Plan Development Type Maintenance Usage Check Do Activity View Development Production Type Instance Maintenance Usage Maintenance Usage Action Plan Production Instance Maintenance Usage Check Do 20

21 Administration Shell and IVRA 21

22 Industrial Data Space and IVRA SMU Stable Asset PLU Portable Asset Industrial Data Space Product/material traceability Machine/equipment traceability Data/Information traceability Technology (IP) traceability 22

23 Outline 1. Scenario-based Use Case for Practical Concern 2. Kaizen Approach Using Loosely Defined Standard 3. IVRA: Industrial Value Chain Reference Architecture 4. IVI Platform for Smart Manufacturing Ecosystem 23

24 Feature of IVI Platform An IVI Platform is a system of systems for connected manufacturing, creating value for endusers by maintaining interoperability among platform components consisting of Application, Devices, Infrastructure, and Tool. Layer Operation layer Component Application Stakeholder End-user The primary aim of the platform is to enhance the value for manufacturers by data interoperability. The platform is an open basis to create an ecosystem by providing profile specifications of each component. Manufacturer have the data ownership, in advance, so that system improvements are possible by themselves. Software layer Hardware layer Device Infrastructure Tool System integrator Platformer 24

25 Platform categories for scenarios 2A01 Digitalization of process information and know-how on manufacturing 2A02 Connection of information on production preparation at design change 2B01 Utilization of robot program assets by CPS 2C01 Agile planning of production with real-time data on workers and things 2C02 Position control system for things at low cost 2D02 IoT to support workers in flexible manufacturing in kinds and volume 2E01 Traceability of quality data 2E02 Real-Time Management of Quality Data 2F01 Promotion of CPS in supply chain with standard interface 2F02 Promotion of CPS in supply chain with standard interface (shipping logistics) 2G01 Collaboration among companies through shared process information 2G02 Managing manufacturing progress and delivery time among plants 2H01 Sharing technical information for horizontal integration of SMEs 2H02 Horizontal integration of SMEs and visualization of process information 2H03 Service for SMEs to notice information on manufacturing progress 2J01 Manufacturing innovation for interactive growth between human and plant equipment 2K01 Predictive maintenance of presses and panel transportation devices 2K02 Inclusive PM / Predictive maintenance for ALL 2K03 Predictive maintenance system to detect signs of equipment abnormality at low cost 2L01-1 Smart maintenance with machine IoT data 2L01-2 Smart maintenance with digitalization of knowledge 2L04 Productivity improvement by visualization of equipment and workers 2L05 Mutual accommodation of facilities through shared production information 2L06 Managing Actual Operation Status of all Equipment in a Plant 2M01 Increasing added value of after-sales service Quality management information Supply chain management Production engineering information Preventive maintenance Maintenance service management Production planning and control SME all-in-one information Asset and equipment management 25

26 Platform selection and implementation MONOZUKURI IoT Starter Kit Dynamically Production Optimization CPS MC-Web CONTROLLER Fujitsu Smart Monozukuri Platform Manufacturing Management Platform for SMB Factory Conductor Machine Operation State Monitor Platform mcframe IoT Engineering Platform Next generation manufacturing solutions Meister Series Digital Production Platform 2A01 2B01 2E01 Production engineering information 2A02 2F01 Supply chain 2F02 management 2K02 2K03 Preventive maintenance 2K01 2J01 2L06 2C01 Quality management 2E02 Production planning information 2D02 and control 2C02 2G01 2H01 Small-enterprise 2H02 2G02 information 2H03 2L04 Asset and equipment 2L05 Maintenance service management management 2L01-2 2L01-1 2M01 26

27 Ecosystem Management by Loosely Defined Standards Platform WGs Platform Common Architecture refers Platform Reference Model Scope / Terms Functional model / Things model / Information model / Data model / Test scenarios needs creates profiles Manufacturing personnel Collaboration scenario Business scenario workgroups chooses appropriate platform Component Profile Component providers proposes/ provides Platformers Platform Profile Component Connection profile profile Data Business profile profile Manufacturing reality FIRST! 27

28 Thank you! Danke schön.