Abstract
Agile intelligent manufacturing is one of the new manufacturing paradigms that adapt to the fierce globalizing market competition and meet the survival needs of the enterprises, in which the management and control of the production system have surpassed the scope of individual enterprise and embodied some new features including complexity, dynamicity, distributivity, and compatibility. The agile intelligent manufacturing paradigm calls for a production scheduling system that can support the cooperation among various production sectors, the distribution of various resources to achieve rational organization, scheduling and management of production activities. This paper uses multi-agents technology to build an agile intelligent manufacturing-oriented production scheduling system. Using the hybrid modeling method, the resources and functions of production system are encapsulated, and the agent-based production system model is established. A production scheduling-oriented multi-agents architecture is constructed and a multi-agents reference model is given in this paper.
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This work was supported by Fundamental Research Funds for the Central Universities (No.N090403005).
Zhong-Qi Sheng received the B.Eng. and M.Eng. degrees in mechanical engineering from Northeastern University, PRC in 1994 and 1997, respectively, and the Ph.D. degree in mechanical manufacturing from Northeastern University in 2003. In 1997, he was a faculty member in Northeastern University. Currently, he is an associate professor in School of Mechanical Engineering and Automation at Northeastern University. He received the Best Paper Award of the International Conference on Information Management, Innovation Management and Industrial Engineering in 2009.
His research interests include digital manufacturing, enterprise integration, and product data management.
Chang-Ping Tang received the B.Eng. degree in mechanical manufacturing and automation from Shenyang University of Technology, PRC in 2004. Currently, he is a graduate student at School of Mechanical Engineering and Automation in Northeastern University, PRC.
His research interests include mechanical manufacturing and automation.
Ci-Xing Lv received the B. Eng. and M. Eng. degrees in mechanical engineering from Jilin University, PRC in 1999 and 2002, respectively, and the Ph.D. degree in mechatronics engineering from Shenyang Institute of Automation, Chinese Academy of Sciences, PRC in 2007. Currently, he is an associate professor in Department of Industrial Informatics at Shenyang Institute of Automation.
His research interests include logistics, supply chain management, and artificial intelligence.
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Sheng, ZQ., Tang, CP. & Lv, CX. Modeling of agile intelligent manufacturing-oriented production scheduling system. Int. J. Autom. Comput. 7, 596–602 (2010). https://doi.org/10.1007/s11633-010-0545-1
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DOI: https://doi.org/10.1007/s11633-010-0545-1