Open AccessStrategy Practiced by Rolling Stock Maintenance: A Case Study Within the Urban Rail
Author(s) -
Mohd Firdaus Mohamad Idris,
Nor Hayati Saad,
Mohamad Irwan Yahaya,
Wan Ahmad Najmi Wan Mohamed,
Adibah Shuib,
Ahmad Nizam Mohamed Amin
Publication year - 2022
Publication title -
pertanika journal of science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.174
H-Index - 15
eISSN - 2231-8526
pISSN - 0128-7680
DOI - 10.47836/pjst.30.2.09
Subject(s) - stock (firearms) , data collection , transport engineering , ranking (information retrieval) , engineering , business , operations management , computer science , mathematics , statistics , mechanical engineering , machine learning
This research aims to analyse, evaluate and rank the maintenance strategy practised by the train operating companies, specifically by the rolling stock maintenance team. A quantitative method was adopted for data collection. A total of five train operating companies were chosen to participate in a survey that has been carefully designed. The research first identified the maintenance strategy associated with the rolling stock maintenance through systematic literature reviews. Afterwards, six maintenance strategies adopted by the companies were identified. The type of maintenance strategies identified was used to structure the survey questionnaire. Judgemental sampling was utilised for sampling purposes. Finally, the data collected from the survey were analysed using an importance index to complete the ranking analysis. The research discovered that corrective and preventive maintenance strategies are the most commonly adopted among the five Malaysian train operating companies. This study also highlighted the factors that future studies should consider to establish predictive cost models for rolling stock maintenance.