Analysis of Reverse Logistics System using COPRAS MCDM Method

Abstract

Reverse logistics, which is product recovery, Due to product returns or inventory management or revenue stream; creates a closed loop supply chain. Close-loop supply chain success means manufacturers and depends on the actions of the customers. Now, due to environmental protection laws, Easy to disassemble, reuse and recycle Products must be manufactured by manufacturers. On the other hand, many customers, By delivering goods to collection points Support environmental protection. According to the findings, the total cost for reverse logistics is huge. Total reverse logistics cost and collection points To reduce the high usage rate, Ideal for collection points in reverse logistics Choosing locations is very important. To design a decision-making model for that, Cost/time, legislative factors, environmental impact, Based on criteria such as quality, market etc Quantitative and qualitative assessment is required. Appropriate based on these criteria Performance must be considered to determine reversal. Manufacturing option is in this domain Depends on expert opinion. In this paper, based on COPRAS set theory A multi-criteria decision-making (MCDM) model is proposed. Remanufacturing, Reselling, Repairing, Cannibalization, Refurbishing is alternatives and Market factor (C1), Quality factor (C2), Legislative impact (C3), Environmental impact(C4), Cost/time factor (C4) is taken for evaluations parameters. As a result the Remanufacturing is in 1st rank and Refurbishing are last rank