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E-manufacturing

E-manufacturing. 임 동 준 2003. 9. 26 MAI Lab. 참고자료. Making Sense of e-Manucaturing: A Roadmap for Manufacturers Rockwell automation e-Manufacturing 개요 (KAIST) 강의 노트 http://markov.kaist.ac.kr/eML/ E-manufacturing — fundamental, tools, and transformation, 2003.

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E-manufacturing

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  1. E-manufacturing 임 동 준 2003. 9. 26 MAI Lab

  2. 참고자료 • Making Sense of e-Manucaturing: A Roadmap for Manufacturers Rockwell automation • e-Manufacturing 개요(KAIST) 강의 노트 http://markov.kaist.ac.kr/eML/ • E-manufacturing — fundamental, tools, and transformation, 2003. • Advances in manufacturing: foundations in market based collaborative planning and control of distributed multiple product development projects, 2003.

  3. Manufacturing business B2B & B2C Marketplace B2B Marketplace B2B Marketplace The pulse of information going up and down the supply chain is increasing in frequency with a greater level of detail required at each link Raw Material Supplier Supplier Plant Plant Retailer Goods/Materials Flow Information Flow Collaboration Flow Knowledge Flow Financial Flow Distributor Retailer Consumer Adapted, source: Rockwell Automation

  4. e-Manufacturing • 인터넷 및 IT기술을이용하여제조업의 업무 프로세스, 관리방식, 거래 및 사업방식을 혁신하고 통합 • 제조업의 e-Business라고 할 수 있음. • e-Business • 기업간 거래에 초점 • Supply Chain Integration, EDI, Sourcing/Procurement/Supply, Order/Sales, Logistics/Transportation/Fulfillment, Payment, Insurance, Authentication등을 인터넷화 • e-Manufacturing • 기업간 거래뿐 아니라 기업간 협업, 협력 • 제품개발 및 제조 프로세스, 생산현장관리(Shop Floor Control)도 인터넷을 통해 혁신 source: http://markov.kaist.ac.kr/eML/

  5. e-manufacturing 요소 • Business Strategies • Culture and vision • Strategy: Core competence • Partnering • Business Processes • Domain Knowledge • 프로세스 모델링 및 BPR (Business Process Reengineering) • Best Practices • Information Technology • 표준 정보화 솔루션, 어플리케이션 설계/구현 • Business Logic/Intelligence • Business Rules/의사결정 • 최적화 (Algorithms) source: http://markov.kaist.ac.kr/eML/

  6. E-manufacturing Scope Manufacturing Enterprise Manufacturing Enterprise 제품개발 및 설계 제품개발 및 설계 CPC Collaborative Product Commerce 경영관리 경영관리 e-Business/ SCM EI EI 구매 조달 제조 구매 조달 제조 판매 및 물류 판매 및 물류 e-Factory Shop Floor Control Shop Floor Control source: http://markov.kaist.ac.kr/eML/

  7. 협의의 e-manufacturing • e-Factory • MES (Manufacturing Execution System) • e-Diagnostics • Web-based Control • e-Quality • e-Maintenance • CPC(Collaborative Product Commerce) • Design Collaboration • Product Information Sharing source: http://markov.kaist.ac.kr/eML/

  8. E-factory

  9. 개념적 연관성 e-Business e-Manufacturing e-Procurement e-Marketplace e-Services e-CRM Collaborative Product Commerce e-Factory e-Commerce Supply Chain Management e-Shop Strategic Arrangement Marketing/ Sales Logistics Management source: http://markov.kaist.ac.kr/eML/

  10. E-manufacturing-fundamental, tools, and transformation Jay Lee NSF Industry/University Cooperative Research Center for Intelligent Maintenance System(IMS), University of Wisconsin, Milwaukee, WI, USA Received 6 November 2002; received in revised form 5 May 2003; accepted 23 May 2003 Robotics and Computer Integrated Manufacturing

  11. E-manufacturing: definition “E-manufacturing is a system methodology that enables the manufacturing operations to successfully integrate with functional objectives of an enterprise through the use of Internet, tether-free (i.e. wireless, web etc.) and predictive technologies” -Koc M, Ni J, Lee J.

  12. Direction for e-manufacturing Four competencies (design, operate, maintain and synchronize) are required for any manufacturer to be a world class manufacturing company. -Rockwell automation e-manufacturing industry road map • Development of intelligent agents • Development of remote distributed and web-based quality contol systems and their integration with intelligent predictive agent • Development of a dependable and scalable information pipeline/platform • Development of virtual design platform for collaboration

  13. Enabling tools (I) • Data and information transformation tools • Prediction tools • Optimization tools • Synchronization tools

  14. Enabling tools (II) • Data and information transformation tools • Prediction tools • Optimization tools • Synchronization tools

  15. Enabling tools (III) • Data and information transformation tools • Prediction tools • Optimization tools • Synchronization tools

  16. Enabling tools (IV) • Data and information transformation tools • Prediction tools • Optimization tools • Synchronization tools

  17. Infotronics and future

  18. Advances in e-manufacturing: foundation of market-based collaborative planning and control of distributed multiple product development projects Yong-Han Lee, Soundar R.T. Kumara Department of Industrial and Manufacturing Engineering. The Pennsylvania State University, 310 Leonhard Building, University Park PA 16802, USA Journal of Material Processing Technology 139 (2003) 178-186

  19. DMPDP* Problem(1) • DMPDP Characteristics • Frequent change inevitability • Tightly coupled development process • Disciplinary self-interestedness • Information/control distribution • Component part orientation • Planning and control of DMPDP • Planning  initial scheduling • Control  short-term rescheduling or adaptation • Objective of the paper • Modeling a resource allocation economy including the definitions of goods, producers, and consumers • Modeling an utility function that incorporates the relative values of a good from individual project perspective • Modeling a market protocol consisting of an auction mechanism and bidding policies DMPDP: Distributed multiple product development project

  20. DMPDP* Problem(2) DMPDP: Distributed multiple product development project

  21. Definitions and notations • Product development project Pi = <Gi, Ci, Qi, Ni> • Gi: set of milestone, Ci: set of all component Qi: set of process Ni: set of precedence constraints • Functional Division Dj is an organizational unit that comprises a set of resources • DMPDP environment π = <P, D> • Deviation cost function Φi:R:R representing the penalty cost due to the deviation of the project completion time from the original completion target Gi1 • Engagement eil = (j, k, l) defines the assignment task Til in Pi to a resource Rjk • Ai: Project plan of Pi is a set of engagement which covers all task in Pi • i.e. Ai = {ei1, …, ein} • DMPDP plan (A) is a set of project plans within the DMPDP planning horizon • i.e. A = {Ai} • Feasible: satisfies all the constraints of both type precedence and resource • Efficient DMPDP plan is Pareto optimal, meaning that no project can improve its utility without worsening the utility of any other project in th DMPDP • Deviation cost range (DCR): max{Deviation cost} – min{Deviation cost} • by definition of deviation cost function • τ-balanced DMPDP plan is an efiicient DMPDP plan that the DCR of individual projects in a DMPDP plan is less than a given tolerance τ

  22. Multiagent based IS* model • Project Manager (PM) • Component Agent (CA) • Task Agent (TA) • Resource Manager (RM) • Resource Agent (RA) • Aggregate task vs. Assignable task • Resource time-slot market • Every RA will be an auctioneer for selling the bundles of resource time slots to Tas – the bidders IS: Information System

  23. Market-based planning & control mechanism(1)

  24. Market-based planning & control mechanism(2)

  25. Local market formulation and utility function • Auction mechanism • Allocation Rule • Payment Rule

  26. Auction mechanism, allocation and payment rule • Auction mechanism • Allocation Rule • Payment Rule

  27. 정 리 • E-manufacturing이라는 이름으로 다양한 연구가 수행되고 있다. • E-manufacturing에 대한 표준적인 정의는 존재하지 않는다. • 넓은 의미에서 e-manufacturing은 생산 전반을 아우르는 개념으로 사용된다.

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