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.

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Official URL: http://dx.doi.org/10.1017/pds.2022.119

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)
Uncontrolled Keywords:	12 Responsible Consumption and Production
Divisions:	Faculty of Science and Engineering > School of Engineering
Depositing User:	Symplectic Admin
Date Deposited:	08 Apr 2022 14:12
Last Modified:	15 Mar 2024 12:18
DOI:	10.1017/pds.2022.119
Open Access URL:	https://doi.org/10.1017/pds.2022.119
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3152462