Optimizing delivery lead time/inventory placement in a two-stage production/distribution system

In this paper we study a system composed of a supplier and buyer(s). We assume that the buyer faces random demand with a known distribution function. The supplier faces a known production lead time. The main objective of this study is to determine the optimal delivery lead time and the resulting location of the system inventory. In a system with a single-supplier and a single-buyer it is shown that system inventory should not be split between a buyer and supplier. Based on system parameters of shortage and holding costs, production lead times, and standard deviations of demand distributions, conditions indicating when the supplier or buyer(s) should keep the system inventory are derived. The impact of changes to these parameters on the location of system inventory is examined. For the case with multiple buyers, it is found that the supplier holds inventory for the buyers with the smallest standard deviations, while the buyers with the largest standard deviations hold their own inventory.

[1]  Hau L. Lee,et al.  Information distortion in a supply chain: the bullwhip effect , 1997 .

[2]  Hau L. Lee,et al.  Decentralized Multi-Echelon Supply Chains: Incentives and Information , 1999 .

[3]  Paul H. Zipkin,et al.  Approximations of Dynamic, Multilocation Production and Inventory Problems , 1984 .

[4]  Sean P. Willems,et al.  Optimizing Strategic Safety Stock Placement in Supply Chains , 2000, Manuf. Serv. Oper. Manag..

[5]  Linus Schrage,et al.  “Centralized Ordering Policies in a Multi-Warehouse System with Lead Times and Random Demand” , 2004 .

[6]  K. Inderfurth Safety stock optimization in multi-stage inventory systems , 1991 .

[7]  Kaj Rosling,et al.  Optimal Inventory Policies for Assembly Systems Under Random Demands , 1989, Oper. Res..

[8]  Herbert E. Scarf,et al.  Optimal Policies for a Multi-Echelon Inventory Problem , 1960, Manag. Sci..

[9]  Paul H. Zipkin,et al.  Competitive and Cooperative Inventory Policies in a Two-Stage Supply Chain , 1999 .

[10]  Paul H. Zipkin,et al.  Stock Positioning and Performance Estimation in Serial Production-Transportation Systems , 1999, Manuf. Serv. Oper. Manag..

[11]  Paul Glasserman,et al.  Sensitivity Analysis for Base-Stock Levels in Multiechelon Production-Inventory Systems , 1995 .

[12]  S. Karlin,et al.  Studies in the Mathematical Theory of Inventory and Production, by K.J. Arrow, S. Karlin, H. Scarf with contributions by M.J. Beckmann, J. Gessford, R.F. Muth. Stanford, California, Stanford University Press, 1958, X p.340p., $ 8.75. , 1959, Bulletin de l'Institut de recherches économiques et sociales.

[13]  Vineet Padmanabhan,et al.  Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect" , 1997, Manag. Sci..

[14]  Frank Y. Chen,et al.  Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information.: The Impact of Forecasting, Lead Times, and Information. , 2000 .

[15]  W. Zijm,et al.  An analytical theory of multi-echelon production/distribution systems , 1990 .

[16]  Bret Kinsella,et al.  Delivering the goods , 2005 .

[17]  Kenneth F. Simpson In-Process Inventories , 1958 .