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Complexity
Volume 2018 (2018), Article ID 3495096, 11 pages
https://doi.org/10.1155/2018/3495096
Research Article

Discrete Switched Model and Fuzzy Robust Control of Dynamic Supply Chain Network

1School of Logistics, Linyi University, Linyi 276005, China
2School of Management, Harbin University of Commerce, Harbin 150028, China
3Faculty of Business and Economics, The University of Melbourne, Melbourne, VIC 3010, Australia
4Library, Linyi University, Linyi 276005, China

Correspondence should be addressed to Songtao Zhang; moc.361@6260tsz

Received 17 September 2017; Revised 30 November 2017; Accepted 19 December 2017; Published 16 January 2018

Academic Editor: Roberto Dominguez

Copyright © 2018 Songtao Zhang et al. 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 network is more complex and dynamic under the uncertain demand and the lead time. Robustness is a key index of the stable operation for the supply chain network. We investigate a fuzzy robust strategy to realize the robust operation of the supply chain network with the production lead times and the ordering lead times under the uncertain customer demand. A discrete switched model of the dynamic supply chain network with the lead times and the uncertain customer demand is established based on T-S fuzzy systems. Then a fuzzy switched strategy is proposed to control the switching actions among subsystems. Furthermore, by introducing the inhibition rate , a fuzzy control strategy for the dynamic supply chain network is put forward to suppress the impacts of the lead times and the uncertain customer demand on the operation of the dynamic supply chain network. The fuzzy robust strategy composed of the fuzzy switched strategy and the fuzzy control strategy can guarantee the robust operation of the supply chain network at low cost. Finally, the simulation researches show the advantage of the proposed fuzzy robust strategy through the comparisons with the common robust strategy.