Optimal decision for a fuzzy supply chain with shrinkage under VaR criterion-Reference-Cited by-同舟云学术

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

Published:2018-01-12 Issue:1 Volume:34 Page:733-744
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Song Qingfeng¹²,Shi Kai²,Lin Sheng²,Xu Guangping²,Yang Oliver³,Wang Jinsong²

Affiliation:

1. School of Science, Tianjin Chengjian University, Tianjin, China

2. School of Computer Science and Communication Engineering, Tianjin University of Technology, Tianjin, China

3. School of Information Technology and Engineering, University of Ottawa, Ottawa, ON, Canada

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference28 articles.

1. Impact of frequency of alignment of physical and information system inventories on out of stocks: as imulation study;Agrawal;Intentional Journal of Production Economics,2012

2. A hierarchical model of the impact of rfid practices on retail supply chain performance;Vlachos;Expert Systems with Applications,2014

3. RFID technology investment evaluation model for the stochastic joint replenishment and delivery problem;Cui;Expert Systems with Applications,2014

4. Physical design for distributed rfid-based supply chain management;De Virgilio;Distributed and Parallel Databases,2016

5. A split-path schemabased rfid data storage model in supply chain management;Fan;Sensors,2013

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bibliometric Analysis on the Distributed Decision, Decentralized Decision, and Fuzzy Logic;Discrete Dynamics in Nature and Society;2024-01-25

2. Coordination model of supply chain based on deciders’ risk attitudes in a fuzzy decision environment;Journal of Intelligent & Fuzzy Systems;2021-01-04

3. Inventory inaccuracies and radio frequency identification technology: Risk analysis and coordination;Computers & Industrial Engineering;2018-11

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