OPTIMAL MAINTENANCE DECISIONS UNDER SOME UNCERTAIN AUTOMOBILE EQUIPMENT DETERIORATION

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dc.contributor.authorObina, Nwaze, Nweze
dc.date.accessioned2023-12-14T07:32:03Z
dc.date.available2023-12-14T07:32:03Z
dc.date.issued2012-10-02
dc.descriptionDissertationen_US
dc.description.abstractTwo critical components (brainbox and axle) of a commercial bus fleet have been selected for study towards obtaining optimal maintenance decisions, under some uncertain automobile equipment deterioration. An interview-assisted questionnaire was used to obtain data for the project. Three prominent probability distributions were studied, namely the exponential, weibull and lognormal functions.The weibull and lognormal functions were optimal for the brainbox and axle components, respectively. Models obtained were y=0.06t1'43e't2'43/41 for brainbox and y=0.08fle(lm-|7-36)2/sl for axle, interchangeable, at same / value, with below 20% error margin. Equipment reliability of up to 70% was achievable. Bathtubs of the components exhibit similarity and this was supported by the Kolmogorov-Smirnov test (0.194), failure ratios (0.20 and 0.24) and correlation coefficients (0.823&0.816) for brainbox and axle respectively. The general linear models are 3.93810+7.85E-0.3*t, for brainbox and 13.3079+0.198069*1, for axle scatter plots. It is postulated that optimal (preventive) maintenance (drying, trouble-shooting and cleaning) of a brainbox every 7.5x104km and relightening ,greasing and change of lubricating oil in the axle, every 2.85xl05km, would reduce reactive, corrective (replacement) maintenance to less than 30%.en_US
dc.identifier.citationA thesis submitted in partial fulfillment of the requirement for the award of Ph.D degree in Mathematics of the School of Postgraduate Studies of Nasarawa State University, Keffien_US
dc.identifier.urihttps://keffi.nsuk.edu.ng/handle/20.500.14448/5783
dc.language.isoenen_US
dc.publisherMathematics depertment, nasarawa state university keffien_US
dc.titleOPTIMAL MAINTENANCE DECISIONS UNDER SOME UNCERTAIN AUTOMOBILE EQUIPMENT DETERIORATIONen_US
dc.typeThesisen_US

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