An agent-based approach for e-manufacturing and supply chain integration

  • Authors:
  • David Zhengwen Zhang;Anthony Ikechukwu Anosike;Ming Kim Lim;Oluwaremilekun Mowanuola Akanle

  • Affiliations:
  • School of Engineering, Computer Science and Mathematics, University of Exeter, United Kingdom;School of Engineering, Computer Science and Mathematics, University of Exeter, United Kingdom;School of Engineering, Computer Science and Mathematics, University of Exeter, United Kingdom;School of Engineering, Computer Science and Mathematics, University of Exeter, United Kingdom

  • Venue:
  • Computers and Industrial Engineering - Special issue: Logistics and supply chain management
  • Year:
  • 2006

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Abstract

A major problem facing manufacturing organisations is how to provide efficient and cost-effective responses to the unpredictable changes taking place in a global market. This problem is made difficult by the complexity of supply chain networks coupled with the complexity of individual manufacturing systems within supply chains. Current systems such as manufacturing execution systems (MES), supply chain management (SCM) systems and enterprise resource planning (ERP) systems do not provide adequate facilities for addressing this problem. This paper presents an approach that would enable manufacturing organisations to dynamically and cost-effectively integrate, optimise, configure, simulate, restructure and control not only their own manufacturing systems but also their supply networks, in a co-ordinated manner to cope with the dynamic changes occurring in a global market. This is realised by a synergy of two emerging manufacturing concepts: Agent-based agile manufacturing systems and e-manufacturing. The concept is to represent a complex manufacturing system and its supply network with an agent-based modelling and simulation architecture and to dynamically generate alternative scenarios with respect to planning, scheduling, configuration and restructure of both the manufacturing system and its supply network based on the coordinated interactions amongst agents.