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DC FieldValueLanguage
dc.contributorMulti-disciplinary Studiesen_US
dc.contributorDepartment of Managementen_US
dc.creatorHui, Chung-wah-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/985-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleOptimization of maintenance decision for building services equipment in residential buildingsen_US
dcterms.abstractMaintenance is necessary during the operational life of building services. The decision normally facing by the staff on maintenance of building services can be classified into the following categories: - Replacement decision - Restorative maintenance decision - Inspection decision - Condition based maintenance Weibull failure distribution is a useful method to determine the failure rate especially when there is only little failure record. The objective of this research was to investigate the optimum decision prescribing "what" and "when" maintenance on the equipment to be performed in order to minimize the cost of maintenance. Various mathematical models for evaluating optimum maintenance decisions have been studied in details. Building services in residential buildings being managed by Housing Authority were selected as case studies to demonstrate how various mathematical models could be applied to determine the optimum maintenance decision. Four years' records of interruption of water supply caused by defective equipment in the water pump system were used for the case studies. The failure of water pumps was of stochastic problem. Probabilistic dynamic programming technique was used to determine the optimum decision for preventive/restorative/replacement of water pump. The optimum inspection frequency for the water pump system was evaluated. The results of analysis were compared with the current policies and found that improvement could be made. Optimum decision on group replacement of lamps was analyzed using renewal theory to estimate the expected number of failure of lamps. The result was compared with the current practice and found that cost saving could be achieved from group replacement at the calculated optimum replacement interval.en_US
dcterms.extent152 leaves : ill. ; 30 cmen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued1999en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHDwellings -- Maintenance and repair -- Managementen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/985