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Achieving quality through statistical prediction for building services systems

Loy, H., John, G., Clements-Croome, D., Fairey, V. and Neale, K. (2004) Achieving quality through statistical prediction for building services systems. Building Services Engineering Research and Technology, 25 (2). pp. 99-110. ISSN 0143-6244

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To link to this article DOI: 10.1191/0143624404bt082oa

Abstract/Summary

The application of prediction theories has been widely practised for many years in many industries such as manufacturing, defence and aerospace. Although these theories are not new, their application has not been widely used within the building services industry. Collectively, the building services industry should take a deeper look at these approaches in comparison with the traditional deterministic approaches currently being practised. By extending the application into this industry, this paper seeks to provide the industry with an overview of how simplified stochastic modelling coupled with availability and reliability predictions using historical data compiled from various sources could enhance the quality of building services systems.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Construction Management and Engineering > Innovative and Sustainable Technologies
ID Code:12280

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