A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns-Reference-Cited by-同舟云学术

A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns

Published:2006-01 Issue:1 Volume:34 Page:56-69
ISSN:0305-0483
Container-title:Omega
language:en
Short-container-title:Omega

Author:

Min Hokey,Jeung Ko Hyun,Seong Ko Chang

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Strategy and Management

Reference29 articles.

1. ReturnBuy. The new dynamics of returns: the profit, customer and business intelligence opportunities in returns. Ashburn, Virginia; White Paper; 2000, ReturnBuy.com.

2. Rogers DS, Tibben-Lembke RS. Going backward: reverse logistics trends and practices. Nevada, Reno: Reverse Logistics Executive Council; 1999.

3. Shear H, Speh TW, Stock JR. The warehousing link of reverse logistics. Presented at the 26th annual warehousing education and research council conference, San Francisco, CA; 2003.

4. Using models to improve the supply chain;Poirier,2004

5. Stock JR, Reverse logistics. White Paper, Oak Brook, IL: Council of Logistics Management; 1992.

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