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An optimization model and method for supply chain equilibrium management problem.

Authors :
Pan, Guirong
Xue, Bing
Sun, Hongchun
Source :
Mathematical Foundations of Computing. May2022, Vol. 5 Issue 2, p145-156. 12p.
Publication Year :
2022

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
25778838
Volume :
5
Issue :
2
Database :
Academic Search Index
Journal :
Mathematical Foundations of Computing
Publication Type :
Academic Journal
Accession number :
156708529
Full Text :
https://doi.org/10.3934/mfc.2022001