• DocumentCode
    461405
  • Title

    Cyclic Productions planning

  • Author

    Korbaa, Ouajdi ; Camus, Herve

  • Author_Institution
    Lagis - Ecole Centrale de Lille, Villeneuve d´Ascq
  • fYear
    2006
  • fDate
    4-6 Oct. 2006
  • Firstpage
    1110
  • Lastpage
    1117
  • Abstract
    We study in this paper the flexible manufacturing systems (FMS) short-term planning problem. It consists of decomposing the initial demand in different cyclic steady states to reduce the complexity of the general planning and scheduling problem. The main criterion to optimize is the makespan. We give a mathematical formulation of the short-term planning problem using cyclic production. However the resulting problem is a non-linear one with integer variables and non linear constraints. To solve the problem, we first make linear the model by generating a database enumerating all the possible cyclic production horizons and their characteristics. Therefore, the remaining variables are the number of steady states, their characteristics (production) and the number of cycles. We have developed an enumerative method which provides, under several assumptions, the optimal solution. We compare then our results with those obtained by the Ohl´s approach (1994) and show that the method developed in this paper provides good results
  • Keywords
    flexible manufacturing systems; production planning; scheduling; cyclic productions planning; flexible manufacturing systems; scheduling problem; short-term planning problem; Capacity planning; Costs; Flexible manufacturing systems; Job shop scheduling; Manufacturing processes; Processor scheduling; Production planning; Production systems; Steady-state; Systems engineering and theory; FMS; cyclic behavior; makespan minimization; short-term planning problem; steady states;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Engineering in Systems Applications, IMACS Multiconference on
  • Conference_Location
    Beijing
  • Print_ISBN
    7-302-13922-9
  • Electronic_ISBN
    7-900718-14-1
  • Type

    conf

  • DOI
    10.1109/CESA.2006.313489
  • Filename
    4105555