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中国管理科学 ›› 2016, Vol. 24 ›› Issue (12): 98-107.doi: 10.16381/j.cnki.issn1003-207x.2016.12.012

• 论文 • 上一篇    下一篇

考虑路径可行性与仓储集货模式下的回收车辆路径问题研究

刘艳秋1,2, 徐世达1, 张颖2, 李佳1   

  1. 1. 沈阳工业大学管理学院, 辽宁 沈阳 110870;
    2. 沈阳工业大学理学院, 辽宁 沈阳 110870
  • 收稿日期:2015-01-26 修回日期:2015-12-18 发布日期:2017-03-07
  • 通讯作者: 徐世达(1990-),男(汉族),黑龙江五常人,沈阳工业大学管理学院,博士研究生,研究方向:物流工程与管理,E-mail:xushida@live.com. E-mail:xushida@live.com
  • 基金资助:

    国家自然科学基金资助项目(70431003);辽宁省科学技术计划基金资助项目(2013216015);沈阳市科技计划基金资助项目(F13-051-2-00,F14-231-1-24)

Research on Recycling Path Optimization Problem with Feasibility of Path and Concentrated Treatment Mode

LIU Yan-qiu1,2, XU Shi-da1, ZHANG Ying2, LI Jia1   

  1. 1. School of management, Shenyang University of technology, Shenyang 110870, China;
    2. School of Sciences, Shenyang University of technology, Shenyang 110870, China
  • Received:2015-01-26 Revised:2015-12-18 Published:2017-03-07

摘要: 逆向物流回收车辆调度过程中,往往出现由于需求节点位置及需求量信息的不确定性导致难以合理决策完成回收任务所需派出回收车辆的数目,此时,第三方物流逐渐被应用于回收产品的运输服务中。然而在实际的回收过程中,通常各物流需求节点的需求量较小,需要对多个物流节点的产品集中后统一进行处理;同时由于外界因素的限制,不能保证任意两个节点间均存在可行路径,需要通过中转运输的方式寻找替代路线。针对以上问题,本文提出一种基于路径可行性与仓储集货运输模式的回收车辆路径设计方案,并根据问题的特点对传统蚁群算法(ACO)中编码方式以及概率选择操作方式进行改进,提出一种逆选择操作蚁群算法(ACO-nso)。最后通过算例证明提出模型与算法的有效性。

关键词: 路径可行性, 仓储集货模式, 回收车辆路径问题, 逆选择操作蚁群算法

Abstract: In recycling path optimization, Third Party Logistics are gradually used to transport Product Recovery Management, due to the uncertainty of information of demand point location and quantity affected manager making policy by optimal vehicle number. However, demand of node are small in the actual operation process. In general, concentrated treatment mode was used in the transport activity. And due to the limited of environmental factors, cannot ensure every path is feasible, transport vehicle need to find alternative routes. In this context, how to work with the Third Party Logistics, how to determine the location and capacity Qj of recovery stations for manufacturers; How to respond to the need and situation of consumers and manufactures, to determine the optimal recycling path; As well as how to transform concentrated treatment mode to the mathematical model in this paper, all these are the problems to be solved.Based on the above issues, an approach base-on Feasibility of Path and Concentrated Treatment Mode is developed for recycling path optimization. Firstly, a computerized model of based on vehicle routing problem in reverse logistics is established after comparing and analyzing the model of LRP and OVRP. Furtherly, an improved ACO algorithm by improving the coding mode and possible selection(ACO-nso) is proposed. Finally, The convergence of the ACO-nso proposed is proved,and the effectiveness of the algorithm is proven with an example and the applicable scope pf the problem is discussed.It is shown that the model and ACO-nso algorithm improved in this paper is suitable for under-intermediate-level scale recycling path routing problem, moreover requires a shorter time of calculation and better global searching ability than traditional intelligent optimization algorithms. The data used in numerical simulation, is primarily references to the relevant literatures and simulation data. The ACO-nso also promotes the research about path optimization and other combinatorial optimization problems.

Key words: feasibility of path, concentrated treatment mode, recycling path optimization problem, ACO-nso

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