A fuzzy-AHP-based decision support system for maintenance strategy selection in facility management

K. P. Pun, Y. P. Tsang, King Lun Tommy Choy, Valerie Tang, H. Y. Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

8 Citations (Scopus)

Abstract

In 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.
Original languageEnglish
Title of host publicationPICMET 2017 - Portland International Conference on Management of Engineering and Technology
Subtitle of host publicationTechnology Management for the Interconnected World, Proceedings
PublisherIEEE
Pages1-7
Number of pages7
Volume2017-January
ISBN (Electronic)9781890843366
DOIs
Publication statusPublished - 29 Nov 2017
Event2017 Portland International Conference on Management of Engineering and Technology, PICMET 2017 - Portland, United States
Duration: 9 Jul 201713 Jul 2017

Conference

Conference2017 Portland International Conference on Management of Engineering and Technology, PICMET 2017
Country/TerritoryUnited States
CityPortland
Period9/07/1713/07/17

ASJC Scopus subject areas

  • Law
  • Management of Technology and Innovation
  • Strategy and Management
  • Decision Sciences (miscellaneous)
  • Management Science and Operations Research
  • Engineering (miscellaneous)
  • Education

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