Analytic Hierarchy Process Based-Evaluation of Dismantling Practices on End-Life-Vehicle for Automobile Workshops
Year: 2024
Type: article
Abstract: Nowadays, the number of end-of-life vehicles (ELVs) has increased due to increased automobile production. One of the crucial in processing ELVs is dismantling. However, most of the developing countries still have limited specific dismantling infrastructure. Most of the ELV management started at the automobile workshop. Hence the purpose of this paper is to study the effectiveness of dismantling ELV in automobile workshops. This paper focuses on identifying and analysing factors that can affect the effectiveness of dismantling ELV in automobile workshops. A literature survey has been conducted to identify the factors that influence the effectiveness of ELV's dismantling in automobile workshops. A total of 30 factors are obtained which are further classified into five main factors which are human resources (HR), ELV facilities (EF), ELV material (EM), cost concern (CC), and customer-driven (CD). An approach based on Analytical Hierarchy Process (AHP) is utilized to analyse the factors for developing a list of priority of these factors. The result of this study shows that workshop owner experience in ELV dismantling management, worker skills of ELV dismantling, enough dismantling space, development of suitable tools, and dismantling difficulties of ELV material are identified as the top five factors affecting the effective of ELV dismantling in automobile workshop. The automobile workshop or any policymakers can use the priority list of factors developed in this paper's findings for managing the dismantling process in the automobile workshop.
Authors: Khairul Nizam Suhaimin, Wan Hasrulnizzam Wan Mahmood, Al Amin Mohamed Sultan, Zuhriah Ebrahim, Amirul Affiq Azmi, Hazrul Syakirin Hashim
Institution: Universiti Teknikal Malaysia Melaka
Language: English
Subfield: Waste Management and Disposal
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4404042914
