Optimizing Vehicle Inspection Process: A Case Study at A Certain Company in Malaysia

Mohamed Azmin Mohamed Idris; Asmawi Sanuddin; Mohd Fidzwan Md Amin Hamzas; Mohd Haidiezul Jamal Ab Hadi; Mohd Syafiq Abdul Khadir

doi:10.58915/aset.v4i2.2589

Authors

Mohamed Azmin Mohamed Idris Universiti Malaysia Perlis
Asmawi Sanuddin Universiti Malaysia Perlis
Mohd Fidzwan Md Amin Hamzas Universiti Malaysia Perlis
Mohd Haidiezul Jamal Ab Hadi Universiti Malaysia Perlis
Mohd Syafiq Abdul Khadir Universiti Malaysia Perlis

DOI:

https://doi.org/10.58915/aset.v4i2.2589

Keywords:

Vehicle inspection, Process optimization, operational efficiency, Customer satisfaction, inspector fatigue

Abstract

This study focuses on optimizing the vehicle inspection process at one of the Automotive E-Commerce Platforms in Malaysia. The current inspection process, comprising 251 checkpoints, has led to inefficiencies including prolonged customer wait times, inspector fatigue, and operational delays. Prolonged inspections not only lead to customer dissatisfaction but also strain inspectors, ultimately reducing overall efficiency. Through systematic analysis and stakeholder feedback, non-essential inspection points were identified and removed without compromising safety or performance assessments. The study employed data collection methods, including surveys and time-tracking, to evaluate the effectiveness of reducing unnecessary inspections. The implementation of an optimized inspection process led to an 18-minute reduction in total inspection time, improving both operational efficiency and customer satisfaction. The findings suggest that eliminating non-critical inspections enhances workflow without compromising the quality of vehicle assessments. Additionally, inspectors reported decreased fatigue, leading to increased accuracy and productivity. The optimization also enhanced customer experience by reducing waiting times, leading to higher satisfaction levels. These results highlight the importance of streamlining operational procedures in vehicle inspection to maximize efficiency. Future studies could explore automation and AI-driven solutions to further enhance inspection accuracy and reduce processing time.

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