• DocumentCode
    1578882
  • Title

    A Dispatching Method for Trucks at Container Terminal by Using Fuzzy-CNP Concept

  • Author

    Yu, Meng ; Wang, Shaomei ; Cai, Yun

  • Author_Institution
    Coll. of Logistics Eng., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    At container terminals, containers are transported from the marshalling yard to the quay and vice versa by Container Trucks (CTs). This study discusses how to dispatch CTs by utilizing information about pickup and delivery locations and time in future delivery tasks based on dynamic dispatching strategy in which multiple tasks are matched with multiple CTs. In this paper, Multi-agent system (MAS) is used as the basis for an intelligent dispatch system. Relationship between transport tasks and service of CTS has been taken as a contract net using the fuzzy set theory and method. Considering the load of communication and consultation efficiency in system, the bidirectional negotiation mechanism is adopted. The dispatching model based on Contract Network Protocol (CNP) using bidirectional negotiation is provided for assigning optimal delivery tasks to CTs and fuzzy reasoning process of dispatching decisions is suggested. The method has both virtues of precision of static planning and flexibility of CNP and has been confirmed by cases.
  • Keywords
    decision making; dispatching; fuzzy reasoning; fuzzy set theory; goods distribution; multi-agent systems; sea ports; bidirectional negotiation mechanism; container terminal; container trucks dispatching method; contract network protocol; fuzzy reasoning process; fuzzy set theory; fuzzy-CNP concept; intelligent dispatch system; marshalling yard; multiagent system; static planning; Containers; Contracts; Decision making; Dispatching; Fuzzy reasoning; Loading; Marine vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Logistics Engineering and Intelligent Transportation Systems (LEITS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8776-9
  • Electronic_ISBN
    978-1-4244-8778-3
  • Type

    conf

  • DOI
    10.1109/LEITS.2010.5665006
  • Filename
    5665006