Optimizing supply chain finance model with destruction and disruption risks: Application of the game theory and the PSO method

Abstract

A realistic supply chain involves destruction and disruption which can prevent its business and network from continuously operating. In addition, financial flow is as important as product and information flows. The current study deals with an SCF (Supply Chain Finance) model with destruction and disruption risks, and suggests an optimized supply chain model that maximizes profits (or minimize costs) and satisfy customers. The suggested optimized SCF model uses a Game Theory based agent simulation for each tier's decision making and the particle swarm optimization method for the overall optimization. The suggested SCF model provides optimal solutions in terms of cost, profit, and/or customer satisfaction that are used as pareto front, and thus can help a decision maker selects an optimal solution.