Journal of Algorithms and Computation
Open Access

Turbulent Supply Chain Control with Entropy Minimization Approach

Document Type : Research Paper

Authors

Mojtaba Azizian 1
Mohammad Mehdi Sepehri 2

1 Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran

2 Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran 1411713116, Iran

10.22059/jac.2022.90696
Abstract
Entropy is a measure of disorder in a system and is widely used in other scientific and engineering disciplines such as statistical mechanics and information theory. In a chaotic supply chain, the goal is to reduce chaotic behaviors and predict the future of the supply chain. In this case, relationships in a three-tier supply chain are considered in a continuous-time environment. In this paper, the chaotic supply chain is investigated and controlled using the entropy minimization method. Due to the dynamic nature of the supply chain and its chaotic behavior, Poincaré mapping of the system has been prepared by the stroboscopic method. Then, by defining Shannon entropy on the map, the entropy of the system is significantly reduced by the gradient descent algorithm.

Keywords

chaotic
dynamic
Poincaré map
entropy
minimization
three-tier supply chain
Journal of Algorithms and Computation
Volume 54, Issue 2
December 2022
Pages 105-122

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