• DocumentCode
    3153466
  • Title

    A hybrid Ant Colony System for machine assignment problem in flexible manufacturing systems

  • Author

    Deroussi, L. ; Fonseca, J. Barahona da

  • Author_Institution
    LIMOS, Univ. of Clermont-Fd, Clermont, France
  • fYear
    2009
  • fDate
    6-9 July 2009
  • Firstpage
    205
  • Lastpage
    210
  • Abstract
    This paper deals with a new problem: the conjoint solution of machine assignment, job scheduling and vehicle scheduling in an FMS environment. This problem arises when we wish to reconsider the design of an FMS by evaluating its functioning with a higher model granularity. The experimental results obtained show that, in many cases, a simple reorganization of the machines can improve the overall productivity of an FMS. The evaluation model considered permits to synchronize the handling material system with the production tools, in order to minimize the time required for the production of a given set of jobs (makespan). We propose a solution approach based on an hybridized ant colony system (ACS). ACS integrates the knowledge of the current design of the FMS for constructing new machine assignments. Their makespan is evaluated by a black box optimization subroutine.
  • Keywords
    automatic guided vehicles; flexible manufacturing systems; job shop scheduling; machine tools; materials handling; optimisation; FMS; automated guided vehicle scheduling; black box optimization subroutine; flexible manufacturing system; hybridized ant colony system; job scheduling; machine assignment problem; machine tool; material system handling; production tool; Algorithms; Ant colony optimization; Costs; Flexible manufacturing systems; Job production systems; Job shop scheduling; Processor scheduling; Production systems; Productivity; Vehicles; Ant Colony System; Flexible Manufacturing Systems; Hybrid Methods; Machine Assignment Problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
  • Conference_Location
    Troyes
  • Print_ISBN
    978-1-4244-4135-8
  • Electronic_ISBN
    978-1-4244-4136-5
  • Type

    conf

  • DOI
    10.1109/ICCIE.2009.5223781
  • Filename
    5223781