An Efficient Failure-Based Maintenance Decision Support System for Smalland Medium Industries - Efficient Decision Support Systems: Practice and Challenges from Current to Future - page 208

7. Conclusion and further research
This chapter aim to improve maintenance strategies in FBM by extending some theoretical
method introduced by Labib (1998b) and Burhanuddin (2009) in DMG model to provide
maintenance strategies for SMI. The analysis provides insight by using collective approaches
in two-dimensional matrices, and simultaneously measures multiple criterion of the
downtime and frequency of failures.
Maintenance strategies are identified using the DMG model, based on important factors,
including the machines' downtimes and their frequency of failures. The machines are
categorized into the downtime criterions and frequency of failures, which are high, medium
and low using tri-quadrant formulae. The experimental studies are conducted using
maintenance dataset given by Fernandez et al. (2003). The proposed models can be used by
decision makers to identify maintenance strategies and enhance competitiveness among
contractors in FBM. There have been very promising development in computer science,
which can help SMI to monitor and compare maintenance activities.
The analysis provides insight by using collative approaches in two-dimensional matrices,
and simultaneously investigates three criterion of the downtime and frequency of failures.
Tri-quadrant analysis is used to ascertain the model through the incorporation of multiple
criterions of the decision-making analysis for SMI. The result of the analysis provides some
decision-making strategies for machinery maintenance.
This study focuses on DMG based on few factors respond time, diagnostic time, repair time
and frequency of failures. More research on organization procedures and underlying
characteristics of the machines, such as their model, age, made, price, etc., can lead to a more
comprehensive study in FBM. The external factors such as economic, geographical and
social aspects could be incorporated into the models.
8. Acknowledgement
The authors would like to thank the management of Faculty of Information Technology and
Communication, Universiti Teknikal Malaysia Melaka and Faculty of Computing and
Information Technology Rabigh, King Abdulaziz University Rabigh for providing facilities
and financial support.
9. References
Alexandre, M., Adolfo, C.M. and Iong, B. (2008). On the concept of e-maintenance: Review and
current research . Reliability Engineering and System Safety. Vol. 93, pp. 1165-1187.
Amik, G. and Deshmukh, S.G. (2006). Applications and Case Studies: Maintenance management-
literature review and directions . Journal of Quality in Maintenance Engineering, Vol
12, No. 3, pp. 205-238.
Bentley, J.P. (1993). An Introduction to Reliability and Quality Engineering . New York: John
Wiley and Sons Inc.
Burhanuddin, M.A. (2009). Decision Support Model in Failure-based Computerized Maintenance
Management System for Small and Medium Industries . Thesis of the Doctorate in
Philosophy, Faculty of Computer Science and Information System. Universiti
Teknologi Malaysia.