• DocumentCode
    237628
  • Title

    Flexibility analysis on a supply chain contract using a parametric Linear Programming model

  • Author

    Chengbin Chu ; Longomo, Eric E. ; Xiang Song ; Ouelhaj, Djamila

  • Author_Institution
    Lab. Genie Industriel, Ecole Centrale Paris, Paris, France
  • fYear
    2014
  • fDate
    18-22 Aug. 2014
  • Firstpage
    704
  • Lastpage
    709
  • Abstract
    This research paper builds on existing knowledge in the field of parametric Linear Programming (pLP) and proposes a continuous mathematical model that considers a multi-period Quantity Flexibility (QF) contract between a car manufacturer (buyer) and external parts supplying company. The supplier periodically delivers parts to the car manufacturer as agreed in the contract. Due to the uncertainty of the demand for parts, the car manufacturer -in concert with the supplier-aims to develop a policy -at strategic level, that determines the optimal nominal order quantity (Q) and variation rate (β) underpinning the contract that ensures the actual order quantity satisfies the actual demand and the total cost is minimised over the contract length. The behaviour of the mathematical model has been examined in order to establish its feasibility and convexity, consequently guaranteeing an optimal solution. Simulations have been carried out to evaluate the relationship of the total cost with respect to the variation rate and the nominal quantity ordered.
  • Keywords
    contracts; linear programming; supply chain management; supply chains; QF contract; actual order quantity; car manufacturer; continuous mathematical model; contract length; convexity; external parts supplying company; flexibility analysis; multiperiod quantity flexibility contract; optimal nominal order quantity; optimal solution; parametric linear programming model; strategic level; supply chain contract; underpinning; variation rate; Contracts; Convex functions; Industries; Linear programming; Mathematical model; Optimization; Vectors; contracting; multi-period; parametric linear programming; quantity flexibility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2014 IEEE International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/CoASE.2014.6899405
  • Filename
    6899405