Dynamic Pricing and Inventory Policies: A Strategic Analysis of Dual Channel Supply Chain Design

Yongma Moon (), Tao Yao () and Terry L. Friesz ()
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Yongma Moon: The Harold & Inge Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA 16802
Tao Yao: The Harold & Inge Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA 16802
Terry L. Friesz: The Harold & Inge Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA 16802

Service Science, 2010, vol. 2, issue 3, 196-215

Abstract: This paper presents a continuous time optimization model for a dynamic pricing and inventory control problem in a dual-channel supply chain system. We consider a manufacturer's redesign of traditional channel structures, based on customer behaviors, by engaging in direct Internet sales. While the manufacturer and its retailer set optimal pricing and inventory policies dynamically, this study considers both vertical integration and competition of two channels. For the former case, a continuous time optimal control problem is modeled, while for the latter a differential quasi-variational inequality (DQVI) formulation is applied to solve as a Cournot-Nash-Bertrand game. We provide implications for optimal strategies and note the effect of a customer acceptance index. [ Service Science , ISSN 2164-3962 (print), ISSN 2164-3970 (online), was published by Services Science Global (SSG) from 2009 to 2011 as issues under ISBN 978-1-4276-2090-3.]

Keywords: dual channel; continuous time dynamic optimization; game theory; customer acceptance index (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orserv:v:2:y:2010:i:3:p:196-215

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