关键词: 联合采购, 随机性需求, 资源约束, 自适应差分进化算法, 库存控制

Abstract: Considering disadvantages of the existing researches on Joint Replenishment Problem (JRP) with constraints associated with inventory management practice under stochastic demand, a stochastic JRP model with constraints of capital investment and storage capacity was constructed. There was no stable and effective algorithm to deal with this JRP model which was a typical NP-hard problem. To solve this stochastic JRP model, a reliable adaptive hybrid differential evolution algorithm was designed which was applicable to the JRP with resource constraints and stochastic demand based on the typical performance testing. An example was given to verify the scientific rationality of the proposed model and algorithm. A comparative study of the results of six typical numerical JRP examples was carried out to verify the generality and global optimization capability of the proposed algorithm.

Key words: joint replenishment, stochastic demand, resource constraint, adaptive differential evolution algorithm, inventory control