Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/78031
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dc.contributor.authorPun, KPen_US
dc.contributor.authorTsang, YPen_US
dc.contributor.authorChoy, KLen_US
dc.contributor.authorTang, Ven_US
dc.contributor.authorLam, HYen_US
dc.date.accessioned2018-08-28T01:36:21Z-
dc.date.available2018-08-28T01:36:21Z-
dc.date.issued2017-
dc.identifier.citationPICMET 2017 - Portland International Conference on Management of Engineering and Technology : Technology Management for the Interconnected World, Proceedings, 9-13 July 2017, p. 1-7en_US
dc.identifier.isbn9.78189E+12-
dc.identifier.urihttp://hdl.handle.net/10397/78031-
dc.description.abstractIn facility management, maintenance plays an important role in the sustainable development of buildings, involving safety, technical, economic and environmental aspects. An effective building maintenance strategy is critical in improving equipment reliability and availability, maintaining a comfortable environment, enhancing energy efficiency and minimizing the life-cycle cost of the building. Hence, a company's competitiveness and profitability can be improved significantly if unintended failure can be avoided. However, in the current maintenance process, maintenance knowledge and expertise are usually very subjective while the conventional approach is not sufficiently systematical to explain the judgement and assessment criteria. In addition, even though applications of optimization approaches in the maintenance process have been considered, exploring acceptable reasoning for vague information, such as costs, risk assessment and expert feedback is lacking, in the consideration of different maintenance strategies. Therefore, in this paper, a fuzzy-AHP-based decision support system (FADSS) is proposed for assisting in the multi-criteria decision-making process so as to determine the most cost-effective and efficient maintenance strategy. To evaluate the proposed system, a case study is conducted regarding building facilities maintenance. It is found that, through formulating the most suitable strategy, the work efficiency can be improved, and the maintenance costs can be minimized.en_US
dc.description.sponsorshipDepartment of Industrial and Systems Engineeringen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.titleA fuzzy-AHP-based decision support system for maintenance strategy selection in facility managementen_US
dc.typeConference Paperen_US
dc.identifier.spage1-
dc.identifier.epage7-
dc.identifier.doi10.23919/PICMET.2017.8125300-
dc.identifier.scopus2-s2.0-85043464650-
dc.relation.ispartofbookPICMET 2017 - Portland International Conference on Management of Engineering and Technology: Technology Management for the Interconnected World, Proceedings-
dc.identifier.rosgroupid2017000961-
dc.description.ros2017-2018 > Academic research: refereed > Refereed conference paper-
dc.description.validate201808 bcrc-
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