工业工程 ›› 2017, Vol. 20 ›› Issue (2): 32-37.doi: 10.3969/j.issn.1007-7375.e16-3244

• 专题论述 • 上一篇    下一篇

基于优先权编码机制带有随机需求的4PL路径问题

崔妍1, 黄敏2, 杨学成1, 张欣1   

  1. 1. 沈阳工程学院 信息学院, 辽宁 沈阳 110136;
    2. 东北大学 信息科学与工程学院, 流程工业综合自动化教育部重点实验室, 辽宁 沈阳 110819
  • 收稿日期:2016-09-06 出版日期:2017-04-30 发布日期:2017-05-13
  • 作者简介:崔妍(1982-),女,辽宁省人,讲师,博士,主要研究方向为第四方物流优化、智能计算方法.
  • 基金资助:
    国家杰出青年科学基金资助项目(71325002);国家自然科学基金重点国际合作研究项目(71620107003);国家自然科学基金创新研究群体项目(61621004);流程工业综合自动化国家重点实验室基础科研业务费资助(2013ZCX11);国家自然科学基金青年基金(71602124);辽宁省教育厅一般项目(L2014514、L2015368);辽宁省自然科学基金项目(2015020020);辽宁省社会科学规划基金项目(L15BGL035);沈阳工程学院博士启动项目(LGBS-1401)

Priority Coding Mechanism Based 4PL Routing Problem with Stochastic Demand

CUI Yan1, HUANG Min2, YANG Xuecheng1, ZHANG Xin1   

  1. 1. College of Information, Shenyang Institute of Engineering, Shenyang 110136, China;
    2. College of Information Science and Engineering, Key Laboratory of Integrated Automation of Process Industry of Ministry of Education, Northeastern University, Shenyang 110819, China
  • Received:2016-09-06 Online:2017-04-30 Published:2017-05-13

摘要: 针对第四方物流客户对货物需求具有随时间或环境动态变化的特点,本文提出了带有随机需求的第四方物流路径问题。在分析随机需求的基础上,利用带有主观偏好的随机规划方法建立了相应的数学模型。鉴于该问题具有在多重图上选择约束最短路径的特征,提出了嵌入随机模拟的基于优先权双列编码机制的混合遗传算法。实验结果表明,对于相同的交货期,运输费用会随着设置信水平的升高而增加。

关键词: 第四方物流, 路径优化问题, 随机需求, 优先级编码, 遗传算法

Abstract: Considering that in the Fourth Party Logistics (4PL), customers' demand is changing with the time or envir-onmental parameters, a problem for 4PL Routing Problem with Stochastic Demand (4PLRPSD) is proposed. With the analysis of the stochastic demand, a mathematical model for the 4PLRPSD is built based on the stochastic programming methods with subjective preferences. Taking into account the character that the problem needs to choose a constrained shortest path in the multi-graph, a genetic algorithm based on the double array priority coding method with stochastic simulation is proposed. The experimental results show that with the different duration time, the transportation cost increases with the credibility level.

Key words: fourth party logistics, routing problem, stochastic demand, priority coding method, genetic algorithm

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