ENHANCED MAINTENANCE PROBLEM RECOGNITION TECHNIQUES AND ITS APPLICATION TO PALM OIL MILLS

Authors

  • Abd Samad Hasan Basari Faculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka
  • N.S Herman Faculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka Karung Berkunci 1200, 75450 Ayer Keroh, Melaka, Malaysia
  • Siti Azirah Asmai Faculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka Karung Berkunci 1200, 75450 Ayer Keroh, Melaka, Malaysia

Keywords:

Maintenance problem recognition, Snapshot model

Abstract

This paper discusses the application of enhanced maintenance problem recognition techniques. The main contribution of this study is the proposed combined techniques, namely snapshot model, failure mode, effect and criticality analysis (FMECA), Pareto analysis, and decision analysis by using information technology (IT). The snapshot model is part of the maintenance modelling technique while FMECA, Pareto analysis, and decision analysis are part of maintenance reliability techniques. Each of the techniques and the proposed combined techniques is explained. The case study used for this enhanced technique was the palm oil mills maintenance problem. The result and possible further enhancement is also discussed.

 

Additional Files

Published

07-04-2008

How to Cite

Hasan Basari, A. S., Herman, N., & Asmai, S. A. (2008). ENHANCED MAINTENANCE PROBLEM RECOGNITION TECHNIQUES AND ITS APPLICATION TO PALM OIL MILLS. Journal of Information and Communication Technology, 7, 73–87. Retrieved from https://e-journal.uum.edu.my/index.php/jict/article/view/8081