Retail supply chain network design under operational and disruption risks

被引：121
|
作者：
Sadghiani, N. Salehi [1 ,2 ]
Torabi, S. A. [2 ]
Sahebjamnia, N. [2 ]
机构：
[1] Univ Michigan, Dept Ind & Operat Engn, Ann Arbor, MI 48109 USA
[2] Univ Tehran, Coll Engn, Sch Ind Engn, Tehran, Iran
来源：
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW | 2015年 / 75卷
基金：
美国国家科学基金会;
关键词：
Retail network design; Resilience; Robustness; Possibilistic scenario-based robust programming; BUSINESS CONTINUITY; ROBUST OPTIMIZATION; MANAGEMENT; SELECTION; MODEL; UNCERTAINTIES; FRAMEWORK;
D O I：
10.1016/j.tre.2014.12.015
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Designing robust and resilient retail networks under operational and disruption risks can create substantial competitive advantage. In this paper, a deterministic multiple set-covering model is first proposed. Then, it is extended to a possibilistic scenario-based robust model by scenario generation and disruption profiling to design a robust and resilient retail network. The developed models are validated through randomly generated examples and a real case study in retailing. Numerical results demonstrate that designing retail chains without considering operational and disruption risks is really misleading. Also, multiple covering of retail stores as the measure of redundancy increases the network's resilience significantly. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码：95 / 114
页数：20
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