A framework for analogy based estimation in building services

Authors:
K. Rintala;B. Kumar;I. MacLeod
Affiliations:
Bartlett School of Graduate Studies, University College London, United Kingdom;Department of Civil Engineering, University of Strathclyde, Glasgow, United Kingdom;Department of Civil Engineering, University of Strathclyde, Glasgow, United Kingdom
Venue:
ICAAICSE '01 Proceedings of the sixth international conference on Application of artificial intelligence to civil & structural engineering
Year:
2001

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Abstract

This paper addresses the problems faced by the construction industry in developing an effective methodology for estimating the whole life-cycle costing of buildings in general and building services, in particular. The introduction of Private Finance Initiative (PFI) has triggered for such a need. Under the PFI, projects are bid for the entire life cycle rather than simply the initial construction capital costs. This has prompted the need to estimate the maintenance costs with as much precision as possible. As data on maintenance costs is not readily available, it is extremely difficult to estimate the whole life-cycle costs of any facility. This paper describes the development of a framework for estimating of whole life cycle costing of building services. The framework utilizes techniques from Artificial intelligence (AI). The framework is called Analogy-based Estimation (ABE). It uses estimates from similar past projects to estimate the costs for anew project.