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Mathematical Problems in Engineering
Volume 2017, Article ID 5825912, 11 pages
https://doi.org/10.1155/2017/5825912
Research Article

Supply Chain Network Optimization Based on Fuzzy Multiobjective Centralized Decision-Making Model

School of Management Engineering and Electronic Commerce, Zhejiang Gongshang University, Hangzhou 310018, China

Correspondence should be addressed to Tinggui Chen; moc.liamg@nomisgtc

Received 17 October 2016; Accepted 19 January 2017; Published 5 March 2017

Academic Editor: Anna M. Gil-Lafuente

Copyright © 2017 Xinyi Fu and Tinggui Chen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Supply chain cooperation strategy believes that the integration of the operation process can produce value for customers, optimize the supply chain of the connection between the vertical nodes, and constantly strengthen the performance of the advantages, so as to achieve mutual benefit and win-win results. Under fuzzy uncertain environment and centralized decision-making mode, we study multiobjective decision-making optimization, which focuses on equilibrium and compensation of multiobjective problems; that is to say, the proper adjustment of the individual goal satisfaction level will make other goals’ satisfaction levels change greatly. Through coordination among the multiobjectives, supply chain system will achieve global optimum. Finally, a simulation experiment from Shaoxing textile case is used to verify its efficiency and effectiveness.