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Détermination des stocks de sécurité dans une chaîne logistique-amont dédiée à une production de masse de produits fortement diversifiés

Author

Listed:
  • Carole Camisullis

    (IRG - Institut de Recherche en Gestion - UPEM - Université Paris-Est Marne-la-Vallée - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12)

  • Vincent Giard

    (CRG - Centre de recherche en gestion - X - École polytechnique - CNRS - Centre National de la Recherche Scientifique, LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - Université Paris Dauphine-PSL - PSL - Université Paris sciences et lettres - CNRS - Centre National de la Recherche Scientifique)

Abstract

In an upstream supply chain dedicated to the mass production of customized products, many sources of production instability can be identified: the level and structure of the production of the final assembly line, the variability of lead times, the quality issues, packaging and loading constraints in transport, the anticipation of the demand, the synchronization of the flows of the components sent, received and produced. In the case of periodic replenishment policies, two different safety stocks are needed for every plant of the supply chain, which prevent from these various sources of fluctuations: a safety stock of produced components to face up to the demand of its downstream links and a safety stock of supplied components to face up to its production. The mobilized procedures must take into account the organizational framework of the exchanges of information and products. The relevance of the supply and production rules is based on the relevance of structural information broadcast along the supply chain.

Suggested Citation

  • Carole Camisullis & Vincent Giard, 2010. "Détermination des stocks de sécurité dans une chaîne logistique-amont dédiée à une production de masse de produits fortement diversifiés," Working Papers hal-00876986, HAL.
  • Handle: RePEc:hal:wpaper:hal-00876986
    Note: View the original document on HAL open archive server: https://hal.science/hal-00876986
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    References listed on IDEAS

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    1. Axsater, Sven & Zhang, Wen-Fa, 1999. "A joint replenishment policy for multi-echelon inventory control," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 243-250, March.
    2. Liberopoulos, George & Koukoumialos, Stelios, 2005. "Tradeoffs between base stock levels, numbers of kanbans, and planned supply lead times in production/inventory systems with advance demand information," International Journal of Production Economics, Elsevier, vol. 96(2), pages 213-232, May.
    3. Kamran Moinzadeh, 2002. "A Multi-Echelon Inventory System with Information Exchange," Management Science, INFORMS, vol. 48(3), pages 414-426, March.
    4. Diks, E. B. & de Kok, A. G., 1998. "Optimal control of a divergent multi-echelon inventory system," European Journal of Operational Research, Elsevier, vol. 111(1), pages 75-97, November.
    5. Tang, Ou & Grubbstrom, Robert W., 2003. "The detailed coordination problem in a two-level assembly system with stochastic lead times," International Journal of Production Economics, Elsevier, vol. 81(1), pages 415-429, January.
    6. Andrew J. Clark & Herbert Scarf, 2004. "Optimal Policies for a Multi-Echelon Inventory Problem," Management Science, INFORMS, vol. 50(12_supple), pages 1782-1790, December.
    7. Rau, Hsin & Wu, Mei-Ying & Wee, Hui-Ming, 2003. "Integrated inventory model for deteriorating items under a multi-echelon supply chain environment," International Journal of Production Economics, Elsevier, vol. 86(2), pages 155-168, November.
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