摘要
为了有效整合物流资源,实现不同周期物流园区配送总成本和负效用的降低,构建了以煤炭物流网络总成本最小和对大气以及居民产生负效用最低为目标,多目标多周期煤炭物流园区的动态选址模型,并采用Lingo11.0进行多次迭代求解,最终得到全局最优解。以山西阳煤集团2014年实际的销售和运输数据为依据,选取了6个候选物流园区,18个需求客户,针对4个不同周期物流园区的选址和配送进行了差异化决策,使得成本节约了35%,最终验证了模型的科学性。
In order to effectively integrate the logistics resources and realize the goal of reducing the total cost and the negative utility of the logistics park in different periods,a dynamic location model of multi-cycle coal logistics parks is built,based on the minimum cost of coal logistics network and the minimum of negative utility. The global optimal solution is obtained by using Lingo 11. 0 to solve multiple iterations.Based on the actual sales and transportation data of Shanxi coal group in 2014,6 candidate logistics parks and 18 customers are selected. Aiming at 4 different periods,the location and distribution of the logistics parks make the cost savings by 35%,and the scientific nature of the model is verified.
出处
《工业工程》
2015年第6期110-115,共6页
Industrial Engineering Journal
基金
山西省软科学资助项目(2014041054-01
2015041006-3)
关键词
煤炭物流
动态选址
多目标多周期法
Lingo11.0
山西阳煤集团
coal logistics
dynamic site location
multi-objective and multi-period
Lingo 11.0
Shanxi Province Yangquan Coal Group
