Author: Hui, Chung-wah
Title: Optimization of maintenance decision for building services equipment in residential buildings
Degree: M.Sc.
Year: 1999
Subject: Dwellings -- Maintenance and repair -- Management
Hong Kong Polytechnic University -- Dissertations
Department: Multi-disciplinary Studies
Department of Management
Pages: 152 leaves : ill. ; 30 cm
Language: English
Abstract: Maintenance 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.
Rights: All rights reserved
Access: restricted access

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