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Priority setting in maintenance management: a modified multi-attribute approach using analytic hierarchy process

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  • Qiping Shen
  • Kak-Keung Lo
  • Qian Wang

Abstract

In the current economic climate, budgets for the maintenance of public buildings are unlikely to meet the ever-increasing maintenance needs. Although it is unlikely that this problem can be overcome completely without an injection of further resources, it is possible for government maintenance authorities to improve the situation by ensuring that the best solution in terms of 'value for money' is achieved in the planned maintenance programme. A maintenance plan which is based on a rational assessment of priorities and up-to-date knowledge of the condition of the property stock will help to ensure the best use of available resources. Based on the multi-attribute maintenance prioritization model developed by Alan Spedding, Roy Holmes and Qiping Shen at the University of West of England, which is simple in practice and flexible from a management point of view, this paper presents the results of some further research into this area by modifying the original model using an analytical hierarchy process in deciding the weightings of the criteria set out in the prioritization model. This modified model is more quantitative and objective than the original model. The validation of the framework is also discussed.

Suggested Citation

  • Qiping Shen & Kak-Keung Lo & Qian Wang, 1998. "Priority setting in maintenance management: a modified multi-attribute approach using analytic hierarchy process," Construction Management and Economics, Taylor & Francis Journals, vol. 16(6), pages 693-702.
    • Handle: RePEc:taf:conmgt:v:16:y:1998:i:6:p:693-702
    DOI: 10.1080/014461998371980
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    Citations

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    Cited by:

    1. Henk-Jan van Mossel & Ad Straub, 2009. "The need for customizing maintenance services in social housing," Construction Management and Economics, Taylor & Francis Journals, vol. 27(2), pages 135-151.
    2. Grace Lee & Edwin Chan, 2008. "The Analytic Hierarchy Process (AHP) Approach for Assessment of Urban Renewal Proposals," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 89(1), pages 155-168, October.
    3. M C Carnero, 2009. "Selection of condition monitoring techniques using discrete probability distributions: A case study," Journal of Risk and Reliability, , vol. 223(1), pages 99-117, March.
    4. Lei Chu & Zhanjun Xing, 2012. "Research on constructing composite index of objective well-being from China mainland," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 13(2), pages 419-438, June.
    5. Brundage, Michael P. & Chang, Qing & Zou, Jing & Li, Yang & Arinez, Jorge & Xiao, Guoxian, 2015. "Energy economics in the manufacturing industry: A return on investment strategy," Energy, Elsevier, vol. 93(P2), pages 1426-1435.
    6. Carnero, MaCarmen, 2006. "An evaluation system of the setting up of predictive maintenance programmes," Reliability Engineering and System Safety, Elsevier, vol. 91(8), pages 945-963.
    7. Kazemi, Fatemeh & Hosseinpour, Nazanin, 2022. "GIS-based land-use suitability analysis for urban agriculture development based on pollution distributions," Land Use Policy, Elsevier, vol. 123(C).
    8. Li, Lin & Ni, Jun, 2009. "Short-term decision support system for maintenance task prioritization," International Journal of Production Economics, Elsevier, vol. 121(1), pages 195-202, September.
    9. Sai-On Cheung & Henry Suen, 2002. "A multi-attribute utility model for dispute resolution strategy selection," Construction Management and Economics, Taylor & Francis Journals, vol. 20(7), pages 557-568.

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