Modeling and Analysis of Reverse Logistics

被引:59
|
作者
Rogers, Dale S. [1 ,2 ]
Melamed, Benjamin
Lembke, Ronald S. [3 ]
机构
[1] Rutgers State Univ, Dept Supply Chain Management & Mkt Sci, Ctr Supply Chain Management, Rutgers Business Sch Newark & New Brunswick, Newark, NJ 07102 USA
[2] ILOS Inst Logist & Supply Chain, Rio De Janeiro, Brazil
[3] Univ Nevada, Reno, NV 89557 USA
关键词
reverse logistics; modeling methods; returns; secondary markets; PRODUCT RECOVERY; LOCATION PROBLEM; OPTIONS;
D O I
10.1111/j.0000-0000.2012.01043.x
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Many modeling techniques have been developed to maximize the effectiveness and efficiency of forward logistics and supply chain management. As this article will illustrate, modeling techniques can be helpful in improving the management of reverse logistics as well. Companies and researchers are just beginning to appreciate the important differences between forward and reverse chains, and there is great opportunity to apply modeling methodologies to managing reverse logistics problems and issues. This article describes how modeling techniques can be utilized to improve reverse logistics processes and aid in solving real-world reverse logistics problems. We focus on specific reverse logistics processes that firms, which sell products, are likely to address. In fact, the area of reverse logistics has broadened of late to include many activities that were not originally part of simply returning consumer products to a retailer. Herein, we present an overview of opportunities, where improved modeling efforts should be able to provide substantial benefits to supply chain professionals.
引用
收藏
页码:107 / 117
页数:11
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