• DocumentCode
    538288
  • Title

    Supply chain performance in the case of decentralized planning

  • Author

    Ogier, Maxime ; Cung, Van-Dat ; Mangione, Fabien ; Boissiere, Julien

  • Author_Institution
    Lab. G-SCOP, Grenoble INP/UJF, Grenoble, France
  • fYear
    2010
  • fDate
    6-9 Oct. 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Evaluating the performances of a Supply Chain is a hard task due to its decentralized structure and when one tries to take into account sustainable development issues. As a first step towards a realistic evaluation tool, in this paper, we provide a two-echelon supply chain model - a manufacturer and a 3PL provider - inspired from Jung, Chen & Jeong which optimizes the economic criterion (costs) under a decentralized vision of the supply chain planning. We extended this model with a rolling planning horizon. The coordination between the actors is based on a negotiation process which exchanges the minimum information, i.e. the quantities needed. We evaluated this model with a cost structure inspired from the literature, several deterministic and stochastic demands and different rolling horizons. Results showed that decentralized planning is better than the centralized one in small rolling horizons. Sustainable considerations such as gas emission and securing resources will be discussed to extend this model.
  • Keywords
    costing; planning; supply chain management; 3PL provider model; cost structure; decentralized planning; deterministic demands; economic criterion; manufacturer model; negotiation process; rolling planning horizon; stochastic demands; supply chain performance; supply chain planning; two-echelon supply chain model; Biological system modeling; Marketing and sales; Optimization; Planning; Production facilities; Supply chains; coordination; decentralized planning; optimization; supply chain performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Supply Chain Management and Information Systems (SCMIS), 2010 8th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-962-367-696-0
  • Type

    conf

  • Filename
    5681799