• DocumentCode
    3252448
  • Title

    Multi-agent modeling on scheduling of multi-variety and multi-process job-shop

  • Author

    Hu, Luo-ke ; Xiang, De-Hai ; Chen, Yong

  • Author_Institution
    Dept. of Ind. Eng., Zhejiang Univ. of Technol., Hangzhou, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    547
  • Lastpage
    552
  • Abstract
    A new method for modeling and analyzing scheduling of multi-variety and multi-process job-shop based on multi-agent was proposed to effectively solve the dynamic and complex scheduling of multi-variety and multi-process job-shop problem. A physical and mathematic scheduling model of multi-variety and multi-process job-shop based on multi-agent was established. The analyzing scheduling system obtained the target function based on six kinds of agents such as planning agents, searching agents, negotiating agents, deciding agents, logistics agents and database agents. A system was designed to realize the analyzing scheduling of multi-variety and multi-process job-shop with Java programming language. The scheduling of the job-shop in a certain national automobile liner production enterprise was taken as an example. Results proved the validity and reliability of this multi-agent model and scheduling system.
  • Keywords
    Java; job shop scheduling; multi-agent systems; production engineering computing; Java programming language; database agents; deciding agents; logistics agents; mathematic scheduling model; multi-agent model reliability; multiprocess job-shop scheduling; multivariety job-shop scheduling; national automobile liner production enterprise; negotiating agents; physical scheduling model; planning agents; searching agents; job-shop; multi-agent modeling; multi-variety and multi-process; scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6483-8
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2010.5646556
  • Filename
    5646556