摘要
分析了低碳经济对销售物流网络规划的影响,提出了以网络总物流成本最小和网络碳排放总量最少为目标的多目标物流网络规划模型,采用模糊规划方法将多目标规划模型转换为单目标规划模型,设计了基于遗传算法的求解算法,并对规划模型和求解算法进行了仿真验证,由此得到了一种科学可行的低碳销售物流网络规划方法。
This paper explores the impact of the low-carbon economy on the sales logistics network planning by building a multi-objective logistics network planning model, which aims at is minimizing the network total logistics cost and total carbon emissions. Then a fuzzy programming approach is used to convert the multi-objective model into a single-objective model, accordingly, a solving algorithm based on genetic algorithm is designed, the planning model and solution algorithm are simulated and verified, thereby a scientific and feasible low-carbon sales logistics network planning method has been obtained.
出处
《系统工程》
CSSCI
CSCD
北大核心
2013年第7期37-43,共7页
Systems Engineering
基金
国家自然科学基金资助项目(50808140)
上海市教委科研创新项目(11YZ134)
长沙理工大学公路工程省部共建教育部重点实验室开放基金资助项目(kfj120102)
关键词
物流网络
多目标规划
低碳经济
销售物流
遗传算法
Logistics Network
Multi-objective Planning
Low-carbon Economy
Sales Logistics
Genetic Algorithm
