Abstract
Queues of failed machines in machine repairing problem occur due to the failure of machines at random in the manufacturing industries, while different jobs are performed on the machines. Due to failures of machines, the manufacturing system may face significant loss of production, revenue, and customer goodwill. Most existing studies of the machine repair problem founded their study on the assumption of machines are repaired only after failure and with first come first served service discipline. That means preventive maintenance and machine priority based service are ignored. Our study extends this model by incorporating preventive maintenance and multi-criteria based prioritization of machines. Analytical network process tool is used to obtain the priority of machineries. And age based repair differential equations governing the model are constructed. We have established some indices for the system performance in terms of optimal preventive maintenance age t and system’s long run expected cost. An illustrative case is considered to justify solution quality by comparing the result with the previous model study results.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Abide, A., Jayaprakash, J., Haile, B., Geremew, S. (2019). Machine Repair Problem with Preventive Maintenance and Multi Criteria Prioritization of Machines. In: Zimale, F., Enku Nigussie, T., Fanta, S. (eds) Advances of Science and Technology. ICAST 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 274. Springer, Cham. https://doi.org/10.1007/978-3-030-15357-1_6
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