Maintenance Decision Support System in Small and Medium Industries: An Approach to New Optimization Model

Tahir, Zulkifli and M.A., Burhanuddin and Anton, S P (2008) Maintenance Decision Support System in Small and Medium Industries: An Approach to New Optimization Model. International Journal of Computer Science and Network Security , 8 (11). pp. 155-162. ISSN 1738-7906

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Abstract

Machine downtime can be defined as a total amount of time the machine would normally be out of service from the moment it fails until the moment it is fully repaired and back to operate. Once a unit experiences a service downtime or downgrade, the covariates or risk factors can directly impact on the delay in repairing activities. Our study reveals the model to identify the potential risk factors that either delay or accelerate repair times, and it also demonstrates the extent of such delay, attributable to specific risk factors. Once risk factors are detected, the maintenance planners and maintenance supervisors are aware of the starting and finishing points for each repairing job due to their prior knowledge about the potential barriers and the facilitators.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Faculty of Information and Communication Technology > Department of Industrial Computing
Depositing User:	Prof. Madya Dr. Burhanuddin Mohd Aboobaider
Date Deposited:	02 Mar 2014 13:43
Last Modified:	28 May 2015 04:18
URI:	http://eprints.utem.edu.my/id/eprint/11559
Statistic Details:	View Download Statistic

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