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



Xia, H, Han, J ORCID: 0000-0003-3240-4942 and Milisavljevic-Syed, J
(2022) Forecasting the Number of End-of-Life Vehicles: State of the Art Report. In: INTERNATIONAL DESIGN CONFERENCE – DESIGN 2022.

Access the full-text of this item by clicking on the Open Access link.
[img] Text
D2022_paper_120.pdf - Published version

Download (602kB) | Preview

Abstract

<jats:title>Abstract</jats:title><jats:p>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.</jats:p>

Item Type: Conference or Workshop Item (Unspecified)
Divisions: Faculty of Science and Engineering > School of Engineering
Depositing User: Symplectic Admin
Date Deposited: 08 Apr 2022 14:12
Last Modified: 18 Jan 2023 21:05
DOI: 10.1017/pds.2022.119
Open Access URL: https://doi.org/10.1017/pds.2022.119
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3152462