• DocumentCode
    3513020
  • Title

    New shifting method for job shop scheduling subject to invariant constraints of resources availability

  • Author

    Yahyaoui, A. ; Fnaiech, N. ; Fnaiech, F.

  • Author_Institution
    Res. Team in Signal, Image & Intell. Control of Ind. Processes (SICISI), ESSTT, Tunis, Tunisia
  • fYear
    2009
  • fDate
    3-5 Nov. 2009
  • Firstpage
    3387
  • Lastpage
    3392
  • Abstract
    In most machines scheduling models we assume that the machines are available all the time. However, in many realistic situations, machines need to be maintained and hence may become unavailable during a certain period. Indeed preventive maintenance (PM) is a vital activity in production workshops in order to eliminate risks associated with machine breakdowns. This paper deals with a heuristic algorithm based on new shifting method for solving the makespan of a nonresumable job shop scheduling problem while the resources are unavailable in some time periods. The starting times and durations of these availabilities are known in advance and fixed. The proposed method has been successfully tested on some experimental benchmarks and it is concluded that the idea can allows a satisfactory resolution of relatively important problem in a reasonable time and can be tested even to n-dimensional problems as well.
  • Keywords
    constraint theory; job shop scheduling; optimisation; preventive maintenance; single machine scheduling; heuristic algorithm; invariant constraints; machine breakdowns; machines scheduling model; nonresumable job shop scheduling problem; preventive maintenance; production workshops; resources availability; shifting method; Availability; Costs; Electric breakdown; Job shop scheduling; Laboratories; Preventive maintenance; Production; Scheduling algorithm; Single machine scheduling; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
  • Conference_Location
    Porto
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-4648-3
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2009.5415368
  • Filename
    5415368