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Multi-criteria decision analysis in building maintainability using analytical hierarchy process

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  • Sutapa Das
  • M. Y. L. Chew
  • Kim Leng Poh

Abstract

A building maintainability (BM) approach is the only plausible solution to balance a decreasing budget and increasing standards of modern commercial buildings. There is no decision-analysis framework for BM management while many objective and subjective parameters add to its complexity and hinder direct comparison of various building systems contributing to overall BM. A model was developed to compare nine major building systems, namely: basement, facade, wet area, roof, sanitary plumbing, HVAC, elevator, electrical and fire protection system. Analytical hierarchy process was chosen to address complex BM parameters. From a questionnaire survey and face-to-face interviews with 37 experts in facilities management, BM was found to depend on technical viability of services and business profile controlled by building height and location respectively. For various location-height combinations, individual sets of priorities were derived for each building system and the results were supported logically. HVAC was the highest contributor to BM followed by elevator and facade. The proposed generic method can be directly applied to both new and existing commercial buildings in Singapore and extended to other building types or climate. This precise but simple platform for multi-criteria decision analysis promises higher BM and economic returns for any commercial property.

Suggested Citation

  • Sutapa Das & M. Y. L. Chew & Kim Leng Poh, 2010. "Multi-criteria decision analysis in building maintainability using analytical hierarchy process," Construction Management and Economics, Taylor & Francis Journals, vol. 28(10), pages 1043-1056.
    • Handle: RePEc:taf:conmgt:v:28:y:2010:i:10:p:1043-1056
    DOI: 10.1080/01446193.2010.501806
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    References listed on IDEAS

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    1. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
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    1. Henze, Gregor P. & Pavlak, Gregory S. & Florita, Anthony R. & Dodier, Robert H. & Hirsch, Adam I., 2015. "An energy signal tool for decision support in building energy systems," Applied Energy, Elsevier, vol. 138(C), pages 51-70.
    2. Veisi, Hadi & Deihimfard, Reza & Shahmohammadi, Alireza & Hydarzadeh, Yasoub, 2022. "Application of the analytic hierarchy process (AHP) in a multi-criteria selection of agricultural irrigation systems," Agricultural Water Management, Elsevier, vol. 267(C).

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