关键词: 联合补货, 差分进化算法, 模糊决策, 敏感性分析, 库存模型, 库存优化

Abstract: Considering the joint replenishment problem under uncertain environment with the minimum order quality constraint, the fixed ordering costs and variable ordering costs were regarded as the triangular fuzzy numbers and the fuzzy programming model was set up. Therefore the minimum cost plan was selected to replenish. The total cost was defuzzified through the centroid method and symbolic method, and the model was solved by using an improved differential evolution algorithm. The advantage of proposed algorithm was proved by comparing the performance of numerical examples and genetic algorithm. The joint replenishment total cost was obtained by two defuzzifying methods under the condition of analyzing 20 situations, and the selection principle of defuzziness method was given with minimal total cost as principle.

Key words: joint replenishment, differential evolution algorithms, fuzzy decision, sensitivity analysis, inventory models, inventory optimization