【摘要】 针对具有产能约束的多级装配型供应链优化配置问题,在考虑安全库存与产能约束、净补货时间关系基础上,研究最优供应商选择和交货期设置方法。面向不确定需求,建立对具有最大产能约束的供应链优化配置混合规划数学模型,并提出一种有较高求解精度的改进遗传算法求解。研究结果表明:在价格和时间不具有优势的情况下,供应链应该避免选择剩余产能小的供应商;在需求波动较大的情况下,为节点设定宽松的交货期往往能够降低供应链成本。更多还原

【Abstract】 The configuration problem of multi-echelon supply chain with limited production capacity is discussed.Based on the relationship of safety stock with respect to both the production capacity and net replenishment time,the supplier selection and the corresponding service times are optimized.A mixed integer programming model has been proposed for solving the supply chain configuration problem under uncertain market demands and limited production capacity,while an improved Genetic Algorithm with higher solution precision is adopted for problem solving.Two observations have been obtained from the results.First,a supply chain should avoid selecting those suppliers with smaller remaining capacities yet without advantageous prices and service times.Second,in case of highly fluctuated demands,a supply chain should allow broader lead time ranges for suppliers to achieve lower SCC(supply chain configuration) cost.更多还原