Affiliations: [a] School of Science, Tianjin Chengjian University, Tianjin, China
| [b] School of Computer Science and Communication Engineering, Tianjin University of Technology, Tianjin, China
| [c] School of Information Technology and Engineering, University of Ottawa, Ottawa, ON, Canada
Correspondence:
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Corresponding author. Kai Shi, School of Computer Science and Communication Engineering, Tianjin University of Technology, Tianjin, China. E-mail: [email protected].
Abstract: This paper investigates the problems of making optimal decisions on pricing and shelf-space for a fuzzy supply chain with one perishable product, with the help of Radio Frequency Identification Device (RFID) technology to reduce shrinkage. Based on the criterion of Value-at-Risk (VaR) and its minimization, we introduce one centralized decision model and three decentralized decision models to obtain the respective optimal decisions of both the manufacturer and the retailer, by analyzing the fuzzy uncertainties and the relationship among the demand, retail price and shelf-space. The corresponding optimal strategies of the two participants are obtained along with one example.
Keywords: Fuzzy variable, supply chain, Radio Frequency Identification Devices (RFID), Value-at-Risk (VaR), game theory
