An optimization model and method for supply chain equilibrium management problem

Author:

Pan Guirong,Xue Bing,Sun Hongchun

Abstract

<p style='text-indent:20px;'>In this paper, we establish a nonlinear complementarity model and algorithm for supply chain equilibrium management problem consisting of manufacturers, retailers and consumer markets. This work focus on the price of the goods of retailer sell to consumer market in which is a function of the amount of products that are transacted between the retailer and the consumer. Based on this, we investigate the optimizing behavior of the various decision-makers, derive the equilibrium conditions of the manufacturers, the retailers and the consumer markets respectively, and establish a nonlinear complementarity model of this problem. To obtain optimal decision for the problem, we propose a new type of algorithm based on established model, and its global convergence is presented without the assumption of global Lipschitz continuous in detail. The efficiency of given algorithm is also illustrated through some numerical examples.</p>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Artificial Intelligence,Computational Mathematics,Computational Theory and Mathematics,Theoretical Computer Science

Cited by 2 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

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2. Sustainable Supply Chain Distribution Model of Fashion Market Based on Improved Ant Colony Algorithm;2023 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC);2023-09-22

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