%0 Journal Article %T 联合补货策略下的供应商选择和订货量分配协同优化 %T Collaborative optimization of suppliers selection and order quantity allocation using joint replenishment policy %A 曾宇容 %A 万建超 %A 吕盛祥 %A 王思睿 %A 王林 %A ZENG,Yu rong %A WAN,Jian chao %A LYU,Sheng xiang %A WANG,Si rui %A WANG,Lin %J 控制与决策 %J Control and Decision %@ 1001-0920 %V 34 %N 8 %D 2019 %P 1714-1722 %K 供应商选择;订货量分配;联合补货;分组约束;差分进化算法;模拟退火算法 %K supplier selection;order quantity allocation;joint replenishment;grouping constraint;differential evolution algorithm;simulated annealing %X 分析基于联合补货策略的供应商选择与商品订货量分配协同决策问题,设计一种有效的改进差分进化算法(Improved differential evolution,IDE)进行求解.在考虑商品异质性带来的分组约束基础上,构建一种拓展的供应商选择与订货量分配协同决策新模型.对比算例分析表明,IDE在求解此问题及其扩展问题时优于标准差分进化算法和模拟退火算法,随机生成的大规模算例进一步验证了IDE求解此类复杂问题的优越性. %X The problem of coordinated supplier selection and quantity allocation based on the joint replenishment policy is studied, and an effective and improved differential evolution (IDE) algorithm is proposed to solve the problem. Then a new coordinated supplier selection and order quantity allocation model considering grouping constraint caused by the heterogeneity of items is developed. Results of contrastive numeric examples show that the IDE algorithm outperforms the standard DE algorithm and the simulated annealing(SA) algorithm in solving this problem and its extension type. The effectiveness of the IDE algorithm is further verified by randomly generated large-scale numerical examples. %R 10.13195/j.kzyjc.2018.0003 %U http://kzyjc.alljournals.cn/kzyjc/home %1 JIS Version 3.0.0