Mitra Moobed
Department of Industrial Engineering, Yazd University
[ 1 ] - A GA Model Development for Decision Making Under Reverse Logistics
Managing products’ end-of-life and recovery of used products is gaining significant importance during last years. Therefore, managing the reverse flow of products can be an important potential for winning consumers in future competitive markets. In this context, establishing reverse logistics networks is becoming a main problem in reverse supply chains. Genetic Algorithm (GA) is utilized to s...
[ 2 ] - A Hybrid Dynamic Programming for Inventory Routing Problem in Collaborative Reverse Supply Chains
Inventory routing problems arise as simultaneous decisions in inventory and routing optimization. In the present study, vendor managed inventory is proposed as a collaborative model for reverse supply chains and the optimization problem is modeled in terms of an inventory routing problem. The studied reverse supply chains include several return generators and recovery centers and one collection...
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