关键词: 随机模糊, 替代, 转运, 粒子群&mdash, 模拟退火, 供应链

Abstract: To research the transshipment and substitution strategy of supply chain,two kinds of products which could be substituted each other were produced by factories with the consideration of a two-stage supply chain system composed of one factory and multiple retailers,and the products prices were random fuzzy variables.By considering the product substitution strategy and transshipment strategy,the restriction of retailer's warehouse inventory capacity,the proportion of demand satisfied by retailer own inventory,the proportion of demand satisfied by substitution from retailer's other product,the proportion of demand satisfied by transshipment from other retailer's product and the proportion of demand satisfied by direct transportation from factory,a bi-objective decision model for retailers'inventory optimization was proposed to realize retailers'total profit maximization and customers'waiting time minimization.The modified particle swarm algorithm was used to solve the proposed model,and the result showed that transshipment substitution policy was superior to substitution policy without transshipment,transshipment policy without substitution and non-transshipment policy without substitution.

Key words: random fuzzy, substitution, transshipment, particle swarm optimization-simulated annealing, supply chains