摘要
构建了一个制造/再制造集成物流网络,同时考虑了固定费用节省率、运输折扣、最小回收率和政府补贴等因素。在此基础上建立了一个混合整数非线性规划模型,然后应用混合遗传算法求解模型。最后通过算例,说明了模型和算法的有效性,并对各参数进行了灵敏度分析。
Firstly an integrated manufacturing/remanufacturing logistics network was constructed. Factors of the saving proportion of fixed facilities, transportation discounts, the minimum recovery rate, the government subsidy and so on were all taken into consideration. On this basis, a Mixed-Integer Non-Linear Programming (MINLP) model was set up. Then a Hybrid Genetic Algorithm (HGA) was proposed to solve the model. Finally the validities of the model and algorithm were illustrated by an example and sensitivity analyses of the parameters were also presented.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2009年第2期362-368,共7页
Computer Integrated Manufacturing Systems
基金
国家自然科学基金资助项目(70472033)~~
关键词
逆向物流
制造/再制造
设施选址
遗传算法
reverse logistics
manufacturing/remanufacturing
facility location
genetic algorithm