• DocumentCode
    612951
  • Title

    A heuristic approach to synchronize production and transportation planning in a mineral water industry

  • Author

    Yueru Zhong ; Chengbin Chu ; Jemai, Zied

  • Author_Institution
    Lab. Genie Industriel, Ecole Centrale Paris, Châtenay-Malabry, France
  • fYear
    2013
  • fDate
    10-12 April 2013
  • Firstpage
    881
  • Lastpage
    888
  • Abstract
    Planning problems arise in different circumstances with a set of parameters, decision variables and constraints, particularly capacity constraints. Synchronizing production plan and transportation plan at item level in medium-short term, however, has received little attention in the prior literature. This paper aims at solving a production planning problem that depends not only on internal process and forecast data, but also on subsequent transportation planning. For a multi-product industrial case over a finite planning horizon, an adapted model is established and an improvement-based heuristic is proposed to find a near-optimal solution in a reasonable amount of computation time, with the data from a French mineral water company. The results are compared against those of Cplex to solve an MIP model and those of a combined heuristic-Cplex procedure. The comparison demonstrates that the proposed heuristic algorithm works efficiently.
  • Keywords
    goods distribution; integer programming; production planning; transportation; water supply; French mineral water company; MIP model; combined heuristic-Cplex procedure; finite planning horizon; heuristic algorithm; mineral water industry; mixed integer programs; multiproduct industrial case; near-optimal solution; production planning problem; production synchronization; transportation planning; Companies; Minerals; Planning; Production planning; Resource management; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control (ICNSC), 2013 10th IEEE International Conference on
  • Conference_Location
    Evry
  • Print_ISBN
    978-1-4673-5198-0
  • Electronic_ISBN
    978-1-4673-5199-7
  • Type

    conf

  • DOI
    10.1109/ICNSC.2013.6548854
  • Filename
    6548854