• DocumentCode
    480782
  • Title

    Multi-agent Based Supply Chain Management with Dynamic Reconfiguration Capability

  • Author

    Zhang, Zili ; Tao, Li

  • Author_Institution
    Lab. of Intell. Software & Software Eng., Southwest Univ., Chongqing
  • Volume
    2
  • fYear
    2008
  • fDate
    9-12 Dec. 2008
  • Firstpage
    92
  • Lastpage
    95
  • Abstract
    Supply chain management (SCM) has received increased attention in a globally challenging environment as companies face the necessity to improve customer service and maximize profit. Therefore, dynamic reconfiguration capability is vital for supply chain management to respond to changing customer requirements and operating environments. On the other hand, for its flexible and autonomous characteristics, multi-agent systems are a viable technology for SCM, and have been widely applied in SCM. To this end, dynamic reconfiguration in agent-based SCM systems is proposed from autonomy oriented computing point of view. The performance of agent-based SCM with dynamic reconfiguration is evaluated under a modified TAC SCM scenario. With a dynamic reconfigurable SCM system, new products and processes can be introduced with considerably less expense and ramp-up time.
  • Keywords
    customer services; multi-agent systems; object-oriented programming; profitability; supply chain management; autonomy oriented computing; customer service; dynamic reconfiguration capability; multi-agent based supply chain management; multi-agent systems; Automatic testing; Computational modeling; Costs; Customer service; Intelligent agent; Manufacturing; Multiagent systems; Software engineering; Supply chain management; Supply chains; Autonomy Oriented Computing; Dynamic Reconfiguration; Multi-agent System; Supply Chain Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-0-7695-3496-1
  • Type

    conf

  • DOI
    10.1109/WIIAT.2008.276
  • Filename
    4740603