Computers and Industrial Engineering
Research on information integration management of reverse logistics
ICEC '05 Proceedings of the 7th international conference on Electronic commerce
Computers and Industrial Engineering
A bi-objective reverse logistics network analysis for post-sale service
Computers and Operations Research
Robotics and Computer-Integrated Manufacturing
Strategic network design for reverse logistics and remanufacturing using new and old product modules
Computers and Industrial Engineering
Computers and Industrial Engineering
A reverse logistics decisions conceptual framework
Computers and Industrial Engineering
Reverse production system infrastructure design for electronic products in the state of Texas
Computers and Industrial Engineering
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Decision and information interoperability for improving performance of product recovery systems
Decision Support Systems
Performance measurement of product returns with recovery for sustainable manufacturing
Robotics and Computer-Integrated Manufacturing
Performance of supply chain collaboration - A simulation study
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A restricted dynamic model for refuse collection network design in reverse logistics
Computers and Industrial Engineering
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Reverse logistics, a fairly new concept in logistics, has gained increasing importance as a profitable and sustainable business strategy. I describe a holistic view of reverse logistics and distill 11 insights for successful implementation of reverse logistics from the existing literature and published case studies. The strategic factors consist of strategic costs, overall quality, customer service, environmental concerns, and legislative concerns. The operational factors consist of cost-benefit analysis, transportation, warehousing, supply management, remanufacturing and recycling, and packaging. Insights about these factors together form the state-of-the-art knowledge about the keys to successful design and use of reverse-logistics systems.