The spatial and temporal consolidation of returned products in a closed-loop supply chain network
Computers and Industrial Engineering - Special issue: Logistics and supply chain management
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03
The Effect of GA Redundancy on the Design of Reverse Logistics Network
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 05
RFID enabled remote structural health monitoring for heavy lifting appliances
ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part II
Expert Systems with Applications: An International Journal
e-services providing complex containers cargo conditions monitoring information system
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Fuzzy-scorecard based logistics management in robust SCM
Computers and Industrial Engineering
A SCADA oriented middleware for RFID technology
Expert Systems with Applications: An International Journal
A hierarchical model of the impact of RFID practices on retail supply chain performance
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
Reverse logistics, which is the management or return flow due to product recovery, goods return, or overstock, form a closed-loop supply chain. The success of the closed-loop supply chain depends on actions of both manufacturers and customers. Now, manufacturers require producing products which are easy for disassembly, reuse and remanufacturing owing to the law of environmental protection. On the other hand, the number of customers supporting environmental protection by delivering their used products to collection points is increasing. According to the findings, the total cost spent in reverse logistics is huge. In order to minimize the total reverse logistics cost and high utilization rate of collection points, selecting appropriate locations for collection points is critical in reverse logistics. This paper proposes a genetic algorithm to determine such locations in order to maximize the coverage of customers. Also, the use of RFID is suggested to count the quantities of collected items in collection points and send the signal to the central return center. This can facilitate the vehicle scheduling for transferring the items from collection points to the return center. The significance of this research is the proposal of RFID-based reverse logistics framework and optimization of locations of collection points which allow economically and ecologically reasonable recycling. Simulation results indicated that the genetic algorithm is able to produce good-quality solutions in terms of coverage of collection points by choosing suitable locations for collection points and RFID can help detect the quantity of returned products so as to increase efficiency of logistics operations.