TY - GEN
T1 - A fuzzy-AHP-based decision support system for maintenance strategy selection in facility management
AU - Pun, K. P.
AU - Tsang, Y. P.
AU - Choy, K. L.
AU - Tang, Valerie
AU - Lam, H. Y.
N1 - Funding Information:
The authors would like to thank the Research Office of the Hong Kong Polytechnic University for supporting the project. (Project code: RUDV)
Publisher Copyright:
© 2017 PICMET.
PY - 2017/11/29
Y1 - 2017/11/29
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85043464650&partnerID=8YFLogxK
U2 - 10.23919/PICMET.2017.8125300
DO - 10.23919/PICMET.2017.8125300
M3 - Conference article published in proceeding or book
AN - SCOPUS:85043464650
T3 - PICMET 2017 - Portland International Conference on Management of Engineering and Technology: Technology Management for the Interconnected World, Proceedings
SP - 1
EP - 7
BT - PICMET 2017 - Portland International Conference on Management of Engineering and Technology
A2 - Anderson, Timothy R.
A2 - Niwa, Kiyoshi
A2 - Kocaoglu, Dundar F.
A2 - Daim, Tugrul U.
A2 - Kozanoglu, Dilek Cetindamar
A2 - Perman, Gary
A2 - Steenhuis, Harm-Jan
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 Portland International Conference on Management of Engineering and Technology, PICMET 2017
Y2 - 9 July 2017 through 13 July 2017
ER -
