Coordinating Replenishment and Pricing in a Firm

Replenishment and pricing strategies are traditionally determined by entirely separate units of a firm, the former by production and the latter by marketing. In a large organization production and marketing are traditionally measured in terms of performance criteria appropriate and relevant within the world in which they operate, rather than in terms of overall company performance. We consider a situation where the headquarters uses a simple linear transfer price between the two functions to govern the transactions. The misaligned incentives among these functional managers are caused by a transfer price between them that distorts the marginal production cost and revenue, as well as by a misallocation of cost: Marketing's pricing strategy influences expected leftover inventory, but only production incurs the cost. The misalignment can be mitigated through the following two ways. First, if production commits to a service level instead of an inventory level, both production and marketing, and hence the firm as a whole, are better off. Second, the same improvement can be achieved through organizational changes so that marketing becomes the dominant function. We also propose a mechanism that aligns the functional managers' incentives to be compatible to the firm.

[1]  Xavier de Groote,et al.  Flexibility and marketing/manufacturing coordination , 1994 .

[2]  Maqbool Dada,et al.  Pricing and the Newsvendor Problem: A Review with Extensions , 1999, Oper. Res..

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

[4]  Jan A. Van Mieghem,et al.  Price Versus Production Postponement: Capacity and Competition , 1999 .

[5]  J. Spengler Vertical Integration and Antitrust Policy , 1950, Journal of Political Economy.

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

[7]  平山 克己 Sridhar Tayur, Ram Ganeshan, Michael J. Magazine著, Quantitative Models for Supply Chain Management (International Series in Operations Research & Management Science, 17), Kluwer Academic Publishers, 1998年12月,896頁 , 2000 .

[8]  Lawrence M. Wein,et al.  Analysis of a Decentralized Production-Inventory System , 2003, Manuf. Serv. Oper. Manag..

[9]  Michael J. Magazine,et al.  Quantitative Models for Supply Chain Management , 1998 .

[10]  N E Manos,et al.  Stochastic Models , 1960, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

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

[12]  A TsayAndy The Quantity Flexibility Contract and Supplier-Customer Incentives , 1999 .

[13]  H. Bierman,et al.  Game theory with economic applications , 1993 .

[14]  T. M. Whitin Inventory Control and Price Theory , 1955 .

[15]  I. Png,et al.  Returns Policies: Make Money by Making Good , 1995 .

[16]  David M. Kreps,et al.  Quantity Precommitment and Bertrand Competition Yield Cournot Outcomes , 1983 .

[17]  J. Eliashberg,et al.  Marketing-production joint decision-making , 1993 .

[18]  Ravi Anupindi,et al.  Supply Contracts with Quantity Commitments and Stochastic Demand , 1999 .

[19]  Steven Nahmias,et al.  Production and operations analysis , 1992 .

[20]  A. Tsay The Quantity Flexibility Contract and Supplier-Customer Incentives , 1999 .

[21]  Awi Federgruen,et al.  Multilocation Combined Pricing and Inventory Control , 2002, Manuf. Serv. Oper. Manag..

[22]  Evan L. Porteus Chapter 12 Stochastic inventory theory , 1990 .

[23]  S. Whang,et al.  On manufacturing/marketing incentives , 1991 .

[24]  Gérard P. Cachon Competitive Supply Chain Inventory Management , 1999 .

[25]  Haim Mendelson,et al.  Price Smoothing and Inventory , 1983 .

[26]  Awi Federgruen,et al.  Combined Pricing and Inventory Control Under Uncertainty , 1999, Oper. Res..

[27]  S. Gilbert,et al.  Note. the Role of Returns Policies in Pricing and Inventory Decisions for Catalogue Goods , 1998 .

[28]  Fangruo Chen,et al.  Market Segmentation, Advanced Demand Information, and Supply Chain Performance , 2000, Manuf. Serv. Oper. Manag..