• DocumentCode
    239374
  • Title

    Job release under due date constraints in job shops with time-varying product mix

  • Author

    Tao Zhang ; Rose, Oliver

  • Author_Institution
    Dept. of Comput. Sci., Univ. der Bundeswehr Munchen, Neubiberg, Germany
  • fYear
    2014
  • fDate
    7-10 Dec. 2014
  • Firstpage
    2216
  • Lastpage
    2226
  • Abstract
    Job shops produce products on the basis of manufacturing orders which specify the due date and the volume. The orders accepted by the shop floor are put into a job pool. The job release decides when to start each job in the pool. It attempts not only to balance this time-varying demand against available capacity, but also manages to meet the due date constraints. The general job release policies, such as output-based or workload-based policies, have poor due date performance. A multi-time-periods release policy is proposed to match the time-varying demand. The due date pressure is distributed to every period. In each time period a near optimal short-term throughput of each product is obtained by an optimization model. The optimization problem is solved by an improved ant colony algorithm. In iteration processes of the algorithm ants are evaluated by the simulation which involves the setup and breakdown of machines.
  • Keywords
    ant colony optimisation; iterative methods; job shop scheduling; order processing; time-varying systems; algorithm ant; ant colony algorithm; due date constraint; due date performance; due date pressure; iteration process; job pool; job release policy; job shop; manufacturing order; multitime-period release policy; near optimal short-term throughput; output-based policy; shop floor; time-varying demand; time-varying product mix; workload-based policy; Job shop scheduling; Manufacturing; Optimization; Planning; Resource management; Throughput; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), 2014 Winter
  • Conference_Location
    Savanah, GA
  • Print_ISBN
    978-1-4799-7484-9
  • Type

    conf

  • DOI
    10.1109/WSC.2014.7020065
  • Filename
    7020065