工业工程 ›› 2014, Vol. 17 ›› Issue (3): 40-45.

• 专题论述 • 上一篇    下一篇

离散需求下的多产品二级分销网络优化模型

  

  1. 东北大学 工商管理学院,辽宁 沈阳 110819a
  • 出版日期:2014-06-30 发布日期:2014-07-14
  • 作者简介:张翠华(1971-),女,辽宁省人,教授,博士生导师,主要研究方向为供应链管理、质量控制.
  • 基金资助:

    国家自然科学基金资助项目(71371043); 教育部基金资助项目(20130042110031,N130206001); 辽宁省教育厅、社科规划资助项目(W2012042,L13BJY023)

Model and Optimization of Bi-level Distribution Network

  1. School of Business Administration, Northeastern University, Shenyang 110819, China.
  • Online:2014-06-30 Published:2014-07-14

摘要: 构建了一个不确定需求下的多产品二级分销网络模型,以成本最小化为目标考虑了建设成本、配送成本、库存成本、缺货成本以及惩罚成本;以实际情况为背景考虑了工厂的产能约束、最小和最大转运量约束、最小配送量等约束。针对模型的复杂性,设计了禁忌搜索算法对模型进行求解,并通过一个算例验证了模型的正确性。通过遗憾值系数的变化找到了算例的最优鲁棒解,并且应用该算法求解模型耗时不到15 s,证明了算法的有效性和可行性,并具有一定的实际应用意义。

关键词: 分销网络, 选址〖KG-*5〗-〖KG-*5〗分配, 不确定性, 最优化, 禁忌搜索算法

Abstract: A bi-level distribution network model of multiple products under uncertain demands is proposed for minimizing distribution cost, inventory cost, shortage cost, and penalty cost. With actual situation taken into consideration, factorys production capacity constraints, minimum and maximum transfer quantity constraints, minimum distribution quantity constraints are considered. Due to the complexity of the model, a tabu search algorithm is proposed to solve the model. The correctness of the model is verified by a numerical example. By changing the regret value coefficient, the best robust solution is found for the numerical example. It takes less than 1.5 seconds to do so, which shows the efficiency of the proposed algorithm. This is significant for practical application.

Key words: distribution network, locationallocation, uncertainty, optimization, tabu search