The costs of different procurement systems: a decision support model [Selected for the Construction Industry Council (CIC) Industry Challenge Showcase Ranked 1st)

David Lowe; Margaret Emsley; Roy Duff; E Khorsowshahi

The costs of different procurement systems: a decision support model [Selected for the Construction Industry Council (CIC) Industry Challenge Showcase Ranked 1st)

David Lowe, Margaret Emsley, Roy Duff, E Khorsowshahi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Existing research which has attempted to determine differences between the costs of the different procurement routes has consistently aimed to determine a single figure for the difference for projects as a whole. No attempt has been made to provide a difference which is project specific (Duff et al., 1998). Furthermore, no previous research has determined the cost to the client using any objective method. The absence of such a technique is significant. It means that the client’s advisors have no means of providing an objective measure of the cost of following different procurement routes. The client must depend upon the judgement of the advisors, which is based on their own perception of both the project and the different procurement routes, and is hence subject to their opinions and prejudices. This paper reports on the development of a neural network model (ProCost) which is able to determine the total cost to the client of a project, it functions as a decision support tool by enabling the project specific comparison of alternative procurement routes and other strategic decisions.

Original language	English
Title of host publication	Proceedings of the 3rd International Conference on Decision Making in Urban and Civil Engineering (DMinUCE). School of Oriental and African Studies, University of London, UK
Editors	E Khorsowshahi
Publication status	Published - 1 Sept 2002
Event	3rd International Conference on Decision Making in Urban and Civil Engineering 2002 - School of Oriental and African Studies, London, United Kingdom Duration: 6 Sept 2002 → 8 Sept 2002

Conference

Conference	3rd International Conference on Decision Making in Urban and Civil Engineering 2002
Abbreviated title	DMinUCE 2002
Country/Territory	United Kingdom
City	London
Period	6/09/02 → 8/09/02

Keywords

Cost Modelling
Decision Support
Early Stage Estimating
Neural Networks
Procurement

Cite this

Lowe, D., Emsley, M., Duff, R., & Khorsowshahi, E. (2002). The costs of different procurement systems: a decision support model [Selected for the Construction Industry Council (CIC) Industry Challenge Showcase Ranked 1st). In E. Khorsowshahi (Ed.), Proceedings of the 3rd International Conference on Decision Making in Urban and Civil Engineering (DMinUCE). School of Oriental and African Studies, University of London, UK

Lowe, David ; Emsley, Margaret ; Duff, Roy et al. / The costs of different procurement systems: a decision support model [Selected for the Construction Industry Council (CIC) Industry Challenge Showcase Ranked 1st). Proceedings of the 3rd International Conference on Decision Making in Urban and Civil Engineering (DMinUCE). School of Oriental and African Studies, University of London, UK. editor / E Khorsowshahi. 2002.

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abstract = "Existing research which has attempted to determine differences between the costs of the different procurement routes has consistently aimed to determine a single figure for the difference for projects as a whole. No attempt has been made to provide a difference which is project specific (Duff et al., 1998). Furthermore, no previous research has determined the cost to the client using any objective method. The absence of such a technique is significant. It means that the client{\textquoteright}s advisors have no means of providing an objective measure of the cost of following different procurement routes. The client must depend upon the judgement of the advisors, which is based on their own perception of both the project and the different procurement routes, and is hence subject to their opinions and prejudices. This paper reports on the development of a neural network model (ProCost) which is able to determine the total cost to the client of a project, it functions as a decision support tool by enabling the project specific comparison of alternative procurement routes and other strategic decisions.",

keywords = "Cost Modelling, Decision Support, Early Stage Estimating, Neural Networks, Procurement",

author = "David Lowe and Margaret Emsley and Roy Duff and E Khorsowshahi",

note = "Proceedings of the 3rd International Conference on Decision Making in Urban and Civil Engineering (DMinUCE). School of Oriental and African Studies, University of London, UK ; Conference date: 06-09-2002 Through 08-09-2002; 3rd International Conference on Decision Making in Urban and Civil Engineering 2002, DMinUCE 2002 ; Conference date: 06-09-2002 Through 08-09-2002",

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Lowe, D, Emsley, M, Duff, R & Khorsowshahi, E 2002, The costs of different procurement systems: a decision support model [Selected for the Construction Industry Council (CIC) Industry Challenge Showcase Ranked 1st). in E Khorsowshahi (ed.), Proceedings of the 3rd International Conference on Decision Making in Urban and Civil Engineering (DMinUCE). School of Oriental and African Studies, University of London, UK. 3rd International Conference on Decision Making in Urban and Civil Engineering 2002, London, United Kingdom, 6/09/02.

The costs of different procurement systems: a decision support model [Selected for the Construction Industry Council (CIC) Industry Challenge Showcase Ranked 1st). / Lowe, David; Emsley, Margaret; Duff, Roy et al.
Proceedings of the 3rd International Conference on Decision Making in Urban and Civil Engineering (DMinUCE). School of Oriental and African Studies, University of London, UK. ed. / E Khorsowshahi. 2002.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Emsley, Margaret

AU - Duff, Roy

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N1 - Proceedings of the 3rd International Conference on Decision Making in Urban and Civil Engineering (DMinUCE). School of Oriental and African Studies, University of London, UK ; Conference date: 06-09-2002 Through 08-09-2002

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N2 - Existing research which has attempted to determine differences between the costs of the different procurement routes has consistently aimed to determine a single figure for the difference for projects as a whole. No attempt has been made to provide a difference which is project specific (Duff et al., 1998). Furthermore, no previous research has determined the cost to the client using any objective method. The absence of such a technique is significant. It means that the client’s advisors have no means of providing an objective measure of the cost of following different procurement routes. The client must depend upon the judgement of the advisors, which is based on their own perception of both the project and the different procurement routes, and is hence subject to their opinions and prejudices. This paper reports on the development of a neural network model (ProCost) which is able to determine the total cost to the client of a project, it functions as a decision support tool by enabling the project specific comparison of alternative procurement routes and other strategic decisions.

AB - Existing research which has attempted to determine differences between the costs of the different procurement routes has consistently aimed to determine a single figure for the difference for projects as a whole. No attempt has been made to provide a difference which is project specific (Duff et al., 1998). Furthermore, no previous research has determined the cost to the client using any objective method. The absence of such a technique is significant. It means that the client’s advisors have no means of providing an objective measure of the cost of following different procurement routes. The client must depend upon the judgement of the advisors, which is based on their own perception of both the project and the different procurement routes, and is hence subject to their opinions and prejudices. This paper reports on the development of a neural network model (ProCost) which is able to determine the total cost to the client of a project, it functions as a decision support tool by enabling the project specific comparison of alternative procurement routes and other strategic decisions.

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KW - Early Stage Estimating

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Lowe D, Emsley M, Duff R, Khorsowshahi E. The costs of different procurement systems: a decision support model [Selected for the Construction Industry Council (CIC) Industry Challenge Showcase Ranked 1st). In Khorsowshahi E, editor, Proceedings of the 3rd International Conference on Decision Making in Urban and Civil Engineering (DMinUCE). School of Oriental and African Studies, University of London, UK. 2002

The costs of different procurement systems: a decision support model [Selected for the Construction Industry Council (CIC) Industry Challenge Showcase Ranked 1st)

Abstract

Conference

Keywords

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