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Developing an e-Manufacturing Process Stream Model

Develop an iMES model for stable MES functional support with faster implementation. Supports automotive, electric, electronics, and process industries. Includes presentation, application, and control infrastructure services. State-of-the-art IMC project approved by Korean Government. Future work includes integration with e-Maintenance, APS, RFID, and sensor networks. Contact S.K. Cha for more information.

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Developing an e-Manufacturing Process Stream Model

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  1. Developing an e-Manufacturing (iMES) process stream sub-process (or activity) nodes n 1 n 3 n 6 n 7 n 8 n 11 n 13 n 1 4 n 15 product application 1 Organization stream product application 2 product application 3 product application 6 product application m company a company b company c company d company e Accomplishments Objectives The objective of the project is developing an e-Manufacturing (iMES: Intelligent Manufacturing Execution Systems) model for more stable and reliable MES functional support with faster implementation capability. The model can support all types of manufacturing industry withprimary focus on the automotive, electric and electronics manufacturing and the process industry as well. • [1] MES infrastructure Layers • Presentation infrastructure Service: Object- and XML- based message exchange functions which are independent from both any hardware and software. • Application service: iMES application software consisted of “Industry MES template”, definition of business process data and real-time data • Control infrastructure service: real time data communication between device controllers. State-of-the-Art • Sep. 2003, Approved International IMS project (Developing an e-Manufacturing Systems (iMES) by MOICE (Ministry Of Industry Commerce and Energy), Korean Government • Oct. 2003, Firmed iMES project consortium • (KIMM, Postech & ACS in Korea) • Jul. 2004, Signed MOU with University of Wisconsin-Milwaukee (USA) • Jul 2004, Signed MOU with Waseda University (Japan) Approach • [2] MES functions • Manufacturing Process modeler • KPI Configurator • ERP Configurator • DBMS Configurator • Application interface configurator • Intelligent data collection systems • MES template • Use of Industry-based business process management tool & Performance metric tool. Future Work • Integration with e-Maintenance • Integration with APS (Application Planning & Control) Algorithm • Integration with RF-ID & Ubiquitous sensor network • For more information, contact S.K. Cha, Cofounder, ACS R&D Center, Seoul, Korea (82-2-6292-6800, skcha@acs.co.kr) University of Wisconsin-Milwaukee 9100 N. Swan Rd Milwaukee, WI 53224 University of Michigan- Ann Arbor 1020 H. H. Dow Building, 2350 Hayward Street Ann Arbor, MI48109 www.imscenter.net

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