关键词: 物流工程, 短生命周期产品, 贬值, 库存-路径问题, 单周期, 遗传算法

Abstract: In order to improve the enterprise logistical system, a joint IRP model with stochastic demands is built based on the characteristics of single cycle and short life-cycle products, considering shortage costs, inventory backlog depreciation costs and distribution costs. The goal is to determine a reasonable order quantity and distribution route of each retail store to minimize system cost. The problem belongs to NP-hard problem. So, the “newsboy model” and “difference method” are applied to solve the optimal order quantity, and transform the model. Then, a genetic algorithm is designed to solve the model. The numerical results show that the satisfactory solution can be obtained by the proposed algorithm in a relatively short period with different number of customers. The conclusions can be generalized as fellows: the store order quantity should be set with portfolio choice method, the system costs are correlated positively with unit transportation price, the increasement of vehicle capacity is helpful to reduce system costs.

Key words: logistics engineering, short life-cycle products, value deterioration, inventory-routing problem, single cycle, genetic algorithm