OPEN ACCESS
This paper presents an analysis of demand variability based on a case study coming from the automotive supply chain. We focus on two links in this chain: the vehicle assembly plant and its supplier who produces mechanical parts. We analyze the variability of the demand expressed by assembly plants on a given period. Beyond the variability related to end customers, we identify two main causes of this variability: the changes of production levels in these plants and the distortion effect generated by information processing. Moreover, we show the importance of improving the existing methods of coordination and we illustrate the value of sharing with suppliers some information owned by assembly plants.
demand variability, information sharing, inventory management
Cachon G., Randall T. et Schmidt G.M. (2007). In Search of the Bullwhip Effect. Manufacturing & Service Operations Management, vol. 9, n° 4, pp. 457–479.
Cachon G. et Fisher M. (2000). Supply Chain Inventory Management and the Value of Shared Information. Management Science, vol. 46, n° 6, pp. 1032–1048.
Camisullis C., Giard V. et Mendy Bilek G. (2010). The right information to share in the upstream supply chain dedicated to the mass production of customized products for allowing a decentralized management. 3rd International Conference on Information Systems, Logistics and Supply Chain, Casablanca.
Camisullis C. (2008). Les déterminants de la capacité d’une chaîne logistique amont. Thèse de doctorat, Université Paris-Dauphine.
Childerhouse P., Disney S.M. et Towill D.R. (2008). On the impact of order volatility in the European automotive sector. International Journal of Production Economics, vol. 114, n° 1, pp. 2-13.
Choi H.P. (2010). Information sharing in supply chain management: A literature review on analytical research. California Journal, vol. 8, n° 1, pp. 110-116.
Forrester J.W. (1958). Industrial dynamics: a major breakthrough for decision makers. Harvard Business Review, vol. 36, n° 4, pp. 37–66.
Forslund H. et Jonsson P. (2007). The impact of forecast information quality on supply chain performance. International Journal of Operations & Production Management, vol. 27, n° 1, pp. 90-107.
Gavirneni S., Kapuscinski R. et Tayur S. (1999). Value of Information in Capacitated Supply Chains. Management Science, vol. 45, n° 1, pp. 16–24.
Giard V. et Sali M. (2013). The bullwhip effect in supply chains: a study of contingent and incomplete literature. International Journal of Production Research, vol. 51, n° 13, pp. 3880-3893.
Halkos G. et Kevork I. (2012). Unbiased estimation of maximum expected profits in the Newsvendor Model: a case study analysis, https://mpra.ub.uni-muenchen.de/40724/1/MPRA_unbiased_estimation_of_maximum_expected_profits.pdf
Hubert T. (2013). Prévision de la demande et pilotage des flux en approvisionnement lointain. Thèse de doctorat, Ecole Centrale Paris.
Kelepouris T., Miliotis P. et Pramatari K. (2008). The impact of replenishment parameters and information sharing on the bullwhip effect: A computational study. Computers & Operations Research, vol. 35, n° 11, pp. 3657–3670.
Lee H.L., Padmanabhan V. et Whang S. (1997). Information Distortion in a Supply Chain: The Bullwhip Effect. Management Science, vol. 43, n° 4, pp. 546–558.
Lee H.L., So K.C. et Tang C.S. (2000). The Value of Information Sharing in a Two-Level Supply Chain. Management Science, vol. 46, n° 5, pp. 626–643.
Mendy Bilek G. (2007). Apport de la production synchrone dans l’amélioration du pilotage de la production sur une chaine logistique. Thèse de doctorat, Université Paris-Dauphine.
Meyr H., Wagner M. et Rohde J. (2015). Structure of Advanced Planning Systems. In Hartmut Stadtler, Christoph Kilger et Herbert Meyr (dir.), Supply Chain Management and Advanced Planning, Springer Berlin Heidelberg (Springer Texts in Business and Economics), pp. 99‑106.
Sali M. (2012). Exploitation de la demande prévisionnelle pour le pilotage des flux amont d’une chaîne logistique dédiée à la production de masse de produits fortement diversifiés. Thèse de doctorat, Université Paris-Dauphine.
Simchi-Levi D. et Zhao Y. (2003). The value of information sharing in a two-stage supply chain with production capacity constraints. Naval Research Logistics, vol. 50, n° 8, pp. 888–916.
Souilah S. (2008). Reengineering du pilotage des flux dans une relation client/fournisseur. Application au cas de l’industrie automobile. Thèse de doctorat, Ecole Centrale Paris.
Stadtler H. (2005). Supply chain management and advanced planning––basics, overview and challenges. European Journal of Operational Research, vol. 163, n°3, pp. 575‑588.