To solve the multi-spot inventory sharing problem in an emergency system, emergency transportation strategy was studied in a system with random fuzzy demand in this paper through a multi-product and three-echelon emergency supply system. When the stockout happened, the nearest emergency lateral transshipment principle and partial inventory sharing strategy among the spots were permitted to satisfy the demand, and the model for the total cost expectation of random fuzzy demand was developed according to it, taking account of the service time constraints and the spots' storage space limitation. An advanced computing method combining Particle Swarm Optimization ( PSO) and Simulated Annealing ( SA) algorithm, called PSO-SA algorithm, was proposed to calculate the model, and the effects on the partial transshipment with the variation of the transshipment trigger inventory level, the per-item transshipment time and the inventory storage space were analyzed through a numerical example. The availability of the proposed algorithm and the model applicability were verified at last.%针对应急系统中的多点库存共享问题,研究了需求为随机模糊变量情形下的应急调货策略.考虑一个三级多品种的应急供应系统,当缺货发生时,各供应点之间可依据就近应急转运的原则共享部分库存,据此建立了有需求满足时间约束和各供应点库容空间限制的系统总费用随机模糊期望值模型,提出了一种粒子群优化算法和模拟退火算法相结合的先进计算方法(PSO-SA算法)对模型进行了求解,结合算例分析了转运点、就近转运时间、单位物品库容空间等因素变动对部分转运的影响,并验证了算法的有效性和模型的适用性.
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