| dc.description.abstract | Among all the concerns given to facility maintenance programming after construction completion and handover, the control over maintenance timeframe often becomes top priority for facility operation management. It is indeed an important task for maintenance programming decision makers to know how to utilize human resources currently available and assign jobs in the most efficient and effective way in order for jobs to be done in quality and as scheduled. The current practices of maintenance manpower programming, as observed among decision makers of businesses at home or abroad, are mostly manual, with the jobs assigned primarily based on personal experiences. Such an approach may suffice when there is only one single operation to be done, but these days when the operations are complex that need to work around various constraints while requiring other collaborative operations, it would impose greater challenge for decision makers knowing how not to waste human resource while meeting the requirements of facility operation.
By focusing on problems pertinent to the job assignment of a small-scaled
maintenance programming, this study builds two sets of integer programming
modes based on the concepts of job assigning by workload as required by each maintenance operation, with a view to assisting decision makers with their maintenance job assigning. As to the approach for problem solving, the mathematic programming of LINGO 7.0 is adapted for the solution.
Finally, this study runs a test on the optimization of the programming modes, by an example of an independent maintenance operation of a science-tech facility, while comparing the difference of performance between the assignment modes applied by this study and those of manual practice. The test results show the modes introduced by this study to be of significant effects, indicating that they are worthy to be applied as reference in the decision making of actual practice. | en_US |