Current Volume 8
The RFID-Enabled Reverse Logistics Optimization Model (RE-RLOM): A DFSS-Based Solution for Sustainable Circular Supply Chains
Abstract
The RFID-enabled reverse logistics optimization model (RE-RLOM) is a novel framework designed to enhance the efficiency and sustainability of reverse logistics within circular supply chains. By integrating radio frequency identification (RFID) technology with a design for six sigma (DFSS) approach, RE-RLOM optimizes the reverse flow of products, materials, and waste, contributing to the creation of closed-loop supply chains. Reverse logistics, which involves the return, repair, recycling, or disposal of products, is a crucial aspect of achieving sustainability in modern supply chains. However, challenges such as inefficiencies in tracking, handling returns, and managing product lifecycle contribute to operational waste and increased environmental impact. RE-RLOM leverages RFID's real-time tracking capabilities to enhance visibility and control over the reverse logistics process. This technology allows for seamless monitoring of product movements, reducing errors, improving decision-making, and increasing the efficiency of product recovery, recycling, and reuse. The DFSS methodology ensures that each phase of the reverse logistics process, from identifying customer needs to verifying process optimization, is systematically designed to minimize waste, reduce costs, and improve overall operational efficiency. Through the integration of RFID and DFSS, RE-RLOM supports the transition to more sustainable circular supply chains by improving material flow, promoting product lifecycle extension, and enhancing resource recovery. This explores the key components of the RE-RLOM, its application in various industries, and its potential to address the challenges faced by traditional reverse logistics systems. Furthermore, it discusses the benefits, limitations, and future research opportunities for optimizing reverse logistics and supporting the global shift toward a circular economy.
Keywords
RFID-enabled, Reverse logistics optimization model (RE-RLOM), DFSS-based, Sustainable circular, Supply chains
Citations
IRE Journals:
Grace Omotunde Osho , Julius Olatunde Omisola , Joseph Oluwasegun Shiyanbola
"The RFID-Enabled Reverse Logistics Optimization Model (RE-RLOM): A DFSS-Based Solution for Sustainable Circular Supply Chains" Iconic Research And Engineering Journals Volume 6 Issue 10 2023 Page 1077-1094
IEEE:
Grace Omotunde Osho , Julius Olatunde Omisola , Joseph Oluwasegun Shiyanbola
"The RFID-Enabled Reverse Logistics Optimization Model (RE-RLOM): A DFSS-Based Solution for Sustainable Circular Supply Chains" Iconic Research And Engineering Journals, 6(10)
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