Forecasting the Number of End-of-Life Vehicles: State of the Art Report

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Hanbing Xia, Ji Han, Jelena Milisavljevic-Syed
Series: DESIGN
Institution: University of Liverpool, United Kingdom
Section: Design for Sustainability
Page(s): 1169-1178
DOI number: https://doi.org/10.1017/pds.2022.119
ISSN: 2732-527X (Online)

Abstract

Academics and practitioners have shown a growing interest in automobile reverse supply chain (RSC) management as a result of the rise of circular economy and the development of Industry 4.0. Accurate quantity prediction enhances the efficiency of all decision levels in automobile RSC, not only the recovery of end-of-life vehicles (ELVs). Therefore, a comprehensive state-of-the-art review, evaluating ELVs quantity forecasting methodologies and summarizing the main variables influencing forecasting outcomes, is conducted to throw shed light on future research directions.

Keywords: sustainability, design review, circular economy, change prediction