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Application of the principles of ILS to the development of cost effective maintenance strategies for existing building stock

Author

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  • Mohamed El-Haram
  • R. Malcolm
  • W. Horner

Abstract

Total spending on building maintenance in the UK has increased by 66% in the last 10 years (BMI, 1996). Total expenditure on maintenance in 1997 was £39.8 billion (BMI, 1998). Any significant reduction in building maintenance costs will therefore have a real impact on the national economy. This paper reports the results of a research project supported by the EPSRC at the University of Dundee, which sought to quantify the benefits of applying integrated logistics support (ILS) to the development of cost-effective maintenance strategies for existing building stock. ILS is a managerial and technical approach that ensures that the client/user will receive a building that will meet performance requirements (durability, reliability, maintainability, performance, etc.) at the lowest whole life cost. The principles of ILS are described and a systematic framework for selecting the most appropriate and cost-effective maintenance task for each individual element in a building is developed. The decision logic processes for identifying each failure consequence and for selecting the most applicable and cost-effective maintenance task are derived. The maintenance cost savings arising from the application of two ILS techniques - failure modes and effects analysis, and reliability centred maintenance - to a sample of 18 properties were calculated to be 18.5%.

Suggested Citation

  • Mohamed El-Haram & R. Malcolm & W. Horner, 2003. "Application of the principles of ILS to the development of cost effective maintenance strategies for existing building stock," Construction Management and Economics, Taylor & Francis Journals, vol. 21(3), pages 283-296.
  • Handle: RePEc:taf:conmgt:v:21:y:2003:i:3:p:283-296
    DOI: 10.1080/0144619032000093774
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    Cited by:

    1. Zhengxun Jin & Jonghyeob Kim & Chang-taek Hyun & Sangwon Han, 2019. "Development of a Model for Predicting Probabilistic Life-Cycle Cost for the Early Stage of Public-Office Construction," Sustainability, MDPI, vol. 11(14), pages 1-18, July.

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