الفهرس 
Literature reviewOnly 14 pages are availabe for public view
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Abstract
Reverse Logistics has taken an increasing attention due to growing
environmental concern, as well as economical attraction of reusing
products rather than disposing them. Many of Reverse Logistics case
studies concerned about location allocation of different installations at the
reverse flow. In this work, various Reverse Logistics quantitative models
were studied. A General Reverse Logistics Location Allocation Model was
developed in a Mixed Integer Linear Programming (MILP) form, where
model’s behavior and the effect of different reverse logistics variables on
the economy of the system were discussed.