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

Author:

Zhang Songtao1ORCID,Zhang Chunyang2,Zhang Siqi3,Zhang Min4

Affiliation:

1. School of Logistics, Linyi University, Linyi 276005, China

2. School of Management, Harbin University of Commerce, Harbin 150028, China

3. Faculty of Business and Economics, The University of Melbourne, Melbourne, VIC 3010, Australia

4. Library, Linyi University, Linyi 276005, China

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 γ, 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.

Funder

National Social Science Foundation of China

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

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