工业工程

工业工程

• 专题论述 • 上一篇    下一篇

煤炭物流园区多目标动态选址

  

  1. 太原理工大学 经济管理学院，山西 太原 030024
  • 出版日期:2015-12-31 发布日期:2016-03-24
  • 作者简介:刘谡汾(1990-)，山西省人，女，硕士研究生，主要研究方向为管理信息系统与工程、物流工程.
  • 基金资助:

    山西省软科学资助项目(2014041054-01,2015041006-3)

A Research on Multi-objective Dynamic Location for Coal Logistics Park

  1. School of Economics & Management, Taiyuan University of Technology, Taiyuan 030024,China
  • Online:2015-12-31 Published:2016-03-24

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。

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

Abstract:

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.

Key words: coal logistics, dynamic site location, multi-objective and multi-period, Lingo 11.0, Shanxi Province Yangquan Coal Group