A Review of Reverse Logistics Models Based on Operations Research Techniques

Abstract

In response to the imperative of efficient resource use, value recapture, and environmental responsibility, companies are increasingly prioritizing reverse logistics (RL) activities. In today's dynamic business environment, effectively managing returned products has become essential for companies aiming to control costs, meet customers' expectations, and align with sustainability goals. This book chapter focuses on journal papers which were published between 2020 and 2023, focusing on RL optimization models. The publications reviewed in this chapter are categorized in problem domain and techniques of operations research. The problem domain is explored in three classifications comprising literature reviews (LR), deterministic reverse logistics models (DRLM), and uncertain reverse logistics models (URLM). This book chapter also reviews the related operations research and optimization techniques. This study concludes with discussions on observations and findings, along with suggestions for future research directions.