Optimal decision for a fuzzy supply chain with shrinkage under VaR criterion

被引：3

作者：

Song, Qingfeng ^{[1
,2
]}

Shi, Kai ^{[2
]}

Lin, Sheng ^{[2
]}

Xu, Guangping ^{[2
]}

Yang, Oliver ^{[3
]}

Wang, Jinsong ^{[2
]}

机构：

[1] Tianjin Chengjian Univ, Sch Sci, Tianjin, Peoples R China

[2] Tianjin Univ Technol, Sch Comp Sci & Commun Engn, Tianjin, Peoples R China

[3] Univ Ottawa, Sch Informat Technol & Engn, Ottawa, ON, Canada

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2018年 / 34卷 / 01期

基金：

美国国家科学基金会; 国家重点研发计划;

关键词：

Fuzzy variable; supply chain; Radio Frequency Identification Devices (RFID); Value-at-Risk (VaR); game theory; RFID TECHNOLOGY; INFORMATION; VARIABLES; IMPACT; MODEL;

D O I：

10.3233/JIFS-17508

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：733 / 744

页数：12

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