• DocumentCode
    2532068
  • Title

    Scheduling of multi-die operations with multiple maintenance tasks

  • Author

    Chan, Felix T. S. ; Wong, C.S. ; Niu, B.

  • Author_Institution
    Dept. of Ind. & Syst. Eng., Hong Kong Polytech. Univ., Hong Kong, China
  • fYear
    2015
  • fDate
    3-5 March 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Production-Maintenance Scheduling (PMS) is to allocate resources over time to perform production and maintenance activities, aimed to improve productivity and reliability of production systems. This study extended the PMS model proposed in Wong et al. [1-3] and developed a novel methodology to schedule multi-die operations and the related maintenance tasks for the dies. In this paper, a new scheduling problem considered multi-die operations and die maintenance was identified and modeled. A Joint Scheduling (JS) methodology was developed and implemented in a genetic algorithm approach to deal with the new problem. Numerical examples showed that the proposed JS methodology could obtain shorter makespan comparing with the traditional Maximum Age (MA) methodology.
  • Keywords
    genetic algorithms; maintenance engineering; scheduling; Joint Scheduling; genetic algorithm; maximum age methodology; multidie operations scheduling; multiple maintenance tasks; production-maintenance scheduling; productivity improvement; reliability; Biological cells; Genetic algorithms; Job shop scheduling; Joints; Maintenance engineering; die maintenance; genetic algorithm; joint scheduling; production-maintenance scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Operations Management (IEOM), 2015 International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4799-6064-4
  • Type

    conf

  • DOI
    10.1109/IEOM.2015.7093708
  • Filename
    7093708