逆向物流多产品两阶段再生产网络鲁棒优化

计算机工程与应用 ›› 2015, Vol. 51 ›› Issue (3): 18-23.

逆向物流多产品两阶段再生产网络鲁棒优化

孙强1，沈玉志2，李士金1

1.辽宁工程技术大学工商管理学院，辽宁葫芦岛 125105
2.辽宁工程技术大学教务处，辽宁阜新 123000

出版日期:2015-02-01 发布日期:2015-01-28

Robust optimization for multi-product two-stage reverse logistics reproduction network

SUN Qiang1, SHEN Yuzhi2, LI Shijin1

1.School of Business Administration, Liaoning Technical University, Huludao, Liaoning 125105, China
2.Department of Academic Administration, Liaoning Technical University, Fuxin, Liaoning 123000, China

Online:2015-02-01 Published:2015-01-28

摘要/Abstract

摘要： 考虑不同周期内逆向物流回收数量的不确定性和再生产设备的生产能力约束，将逆向物流回收数量、再生产成本和市场需求作为不确定参数，以成本最小为目标，建立了包含生产成本、设备运作成本、库存成本在内的多周期多产品两阶段逆向物流网络鲁棒优化模型。通过算例验证了模型的有效性。

关键词: 逆向物流, 多产品两阶段再生产, 鲁棒优化

Abstract: Considering the uncertainty of recycling quantity and the capacity constrained of the reproduction equipment in different periods during the reverse logistics operation, a multi-period multi-product two-stage robust optimized model with the goal of minimizing the total cost of reverse logistics network including production cost and equipment running cost and inventory cost which lets the recycling quantity of reverse logistics and reproduction cost as well as market demand be the uncertain parameters considering the uncertainty of recycling quantity and the capacity constrained of the reproduction equipment in different periods during the reverse logistics operation is established. An example is given to illustrate and verify the validity and effectiveness of the model.

Key words: reverse logistics, multi-product two-stage reproduction, robust optimization

孙强1，沈玉志2，李士金1. 逆向物流多产品两阶段再生产网络鲁棒优化[J]. 计算机工程与应用, 2015, 51(3): 18-23.

SUN Qiang1, SHEN Yuzhi2, LI Shijin1. Robust optimization for multi-product two-stage reverse logistics reproduction network[J]. Computer Engineering and Applications, 2015, 51(3): 18-23.

[1]	许闯来，胡坚堃，黄有方. 不确定需求下快递配送网络鲁棒优化[J]. 计算机工程与应用, 2020, 56(3): 272-278.
[2]	丁一，田亮，龚杰. 考虑箱区作业均衡的ACT船舶配载鲁棒优化研究[J]. 计算机工程与应用, 2020, 56(13): 262-272.
[3]	邓烨，朱万红，王凤山，刘华丽. 应急物流车辆调度多目标鲁棒优化研究[J]. 计算机工程与应用, 2019, 55(1): 248-255.
[4]	孙强，沈玉志，李士金. 回收不确定下WEEE逆向物流网络鲁棒优化设计[J]. 计算机工程与应用, 2017, 53(4): 263-270.
[5]	乔佩利，王娜. 考虑逆向物流第三方配送的选址路径问题研究[J]. 计算机工程与应用, 2017, 53(10): 55-60.
[6]	黄务兰1，2，张涛1，3. 基于改进全局人工鱼群算法的VRPSPDTW研究[J]. 计算机工程与应用, 2016, 52(21): 21-29.
[7]	陈可嘉，于先康. 有能力约束回收车辆路径问题的食物链算法[J]. 计算机工程与应用, 2013, 49(20): 267-270.
[8]	李亚林，陈静，罗彪，任亚峰，李密青. 一种求解鲁棒优化问题的多目标进化方法[J]. 计算机工程与应用, 2011, 47(24): 58-61.
[9]	别文群¹，李拥军². 配送中心多车辆集散货物路线的禁忌搜索研究[J]. 计算机工程与应用, 2010, 46(4): 216-218.
[10]	代应，何开伦，施於人. 废旧产品资源化逆向物流运作模式比较研究[J]. 计算机工程与应用, 2010, 46(4): 223-225.
[11]	耿小庆. 一个带收集点的逆向物流模型设计[J]. 计算机工程与应用, 2010, 46(20): 219-221.
[12]	代应¹，蒋长兵². 汽车逆向物流系统绿色度评价研究[J]. 计算机工程与应用, 2009, 45(35): 220-222.
[13]	董红安. 高度不确定性条件下逆向物流多车辆运输策略[J]. 计算机工程与应用, 2008, 44(29): 226-228.