PRICING DECISIONS FOR A CLOSED-LOOP SUPPLY CHAIN IN A FUZZY ENVIRONMENT

Jie Wei (), Jing Zhao () and Yongjian Li ()
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Jie Wei: General Courses Department, Military Transportation University, Tianjin 300161, China
Jing Zhao: School of Science, Tianjin Polytechnic University, Tianjin 300160, China
Yongjian Li: Business School, Nankai University, Tianjin 300071, China

Asia-Pacific Journal of Operational Research (APJOR), 2012, vol. 29, issue 01, 1-30

Abstract: This paper studies pricing problem for a closed-loop supply chain consisting of a manufacturer and a retailer in a fuzzy environment. The purpose of this paper is to explore how the manufacturer makes his decisions about wholesale price and transfer price and how the retailer makes her decisions about retail price and collecting price in the expected value standard. Each firm's optimal pricing strategies are established by using game theory under the centralized and decentralized decision cases, respectively. Managerial insights into the economic behavior of firms are also investigated, which can serve as the basis for empirical study in the future. Moreover, we analyze numerically the results and give some insights on the influence of some parameters.

Keywords: Closed-loop supply chain; game theory; expected value model; fuzzy theory (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (6)

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DOI: 10.1142/S0217595912400039

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