基于分组策略的补货配送问题优化模型

针对已存在的供应链环境下较少考虑补货配送问题中的分组配送策略,结合大量零售商对单一产品需求量不同等特点,引入分组的决策变量.根据配送中心补货周期与配送次数的函数关系,以最小化三级供应链系统的平均总成本为目标,构建了带有配送中心能力约束的补货配送优化模型.根据优化模型的特点,利用改进的遗传算法求解模型,并进行了数据仿真试验.结果表明,该优化模型能为配送中心提供一种有效的分组配送方案,选择的优化算法更稳定快捷,能为企业提供有益的管理启迪.

Optimization model for replenishment and distribution problems based on grouping strategy

Aiming at the fact that the grouping distribution strategy in the replenishment and distribution problems is not fully considered in the existing supply chain, a decision variable for grouping was introduced in combination with such features that a large number of retailers have different demands on a single product. According to the function relationship between the replenishment cycle and delivery times, the average total cost of a minimized three-level supply chain system was taken as the objective, and the optimization model for the replenishment and distribution with the capacity constraints of distribution center was established. According to the characteristics of this optimization model, the improved genetic algorithm was used to solve the model, and the numerical simulation test was carried out. The results show that the proposed optimization model can provide an effective grouping strategy for the distribution center, and the selected optimization algorithm is more stable and rapid, which can provide the beneficial management enlightenment for companies.