Towards an Agent-Based Negotiation Platform for Cooperative Decision-Making in Construction Supply Chain

  • Authors:
  • Xiaolong Xue;Jinfeng Lu;Yaowu Wang;Qiping Shen

  • Affiliations:
  • Department of Construction and Real Estate, School of Management, Harbin Institute of Technology, Harbin 150001, China and National Center of Technology, Policy and Management, Science Park, Harbi ...;Department of Construction and Real Estate, School of Management, Harbin Institute of Technology, Harbin 150001, China and National Center of Technology, Policy and Management, Science Park, Harbi ...;Department of Construction and Real Estate, School of Management, Harbin Institute of Technology, Harbin 150001, China and National Center of Technology, Policy and Management, Science Park, Harbi ...;National Center of Technology, Policy and Management, Science Park, Harbin Institute of Technology, No.2, Yikuang Street, Harbin 150001, China and Department of Building and Real Estate, The Hong ...

  • Venue:
  • KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
  • Year:
  • 2007

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Abstract

Negotiation is an effective and popular decision-making and coordination behavior in inter-organizations systems, especially in construction supply chain (CSC) which is characterized with fragmentation, low efficiency and multiple partners. This research proposes a multi-agent based negotiation platform for improving the effectiveness and efficiency of cooperative decision-making in CSC adopting agent technology and regarding CSC as a typical multi-agent system. General structure of the agent based negotiation platform is designed, which includes two kinds of agent group: specialty agents and service agents. Since different members in CSC have different preferences on the decision attributes (such as cost, time, quality, safety and environment), a multi-attribute negotiation model is established by designing negotiation protocol and describing the negotiation process.