产能约束下的多级装配供应链优化配置方法研究  

An Optimal Configuration of Multi-echelon Assembly Supply Chains Under Capacity Constraints

作　　者：雷涛[1] 屈挺[1,2] 聂笃宪[1,3] 黄国全[1,2] 

机构地区：[1]广东工业大学广东省计算机集成制造重点实验室,广东广州510006 [2]香港大学工业及制造系统工程系 [3]华南农业大学理学院,广东广州510642

出　　处：《工业工程》2014年第5期93-98,107,共7页Industrial Engineering Journal

基　　金：国家自然科学基金资助项目(51105081);广东省自然科学基金资助项目(S2012010010016)

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。The configuration problem of multi-echelon supply chain with limited production capacity is dis-cussed .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 uncer -tain market demands and limited production capacity , while an improved Genetic Algorithm with higher so-lution 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.

关 键 词：产能约束 需求不确定 供应链优化配置 改进遗传算法 

分 类 号：F224.33[经济管理—国民经济]