Abstract
Partner selection decisions are an important component of production and supply chain management. However, partner selection is a typical multi-criteria decision-making problem and many factors affect partner selection; it is hard to select the most appropriate partners in real circumstances, especially in agricultural product supply chain. In this study, a discrete particle swarm optimization algorithm is proposed to solve the problem. A numerical example for partner selection of agricultural product supply chain is given to illustrate the application of the proposed method and shows the proposed method is feasible and effective.
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