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 (Editor)

Executive Education General

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

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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’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 - Sept 2002
Event	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 - School of Oriental and African Studies Duration: 6 Sept 2002 → 8 Sept 2002

Conference

Conference	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
City	School of Oriental and African Studies
Period	6/09/02 → 8/09/02

Keywords

Cost Modelling, Decision Support, Early Stage Estimating, Neural Networks, Procurement

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Lowe, D., Emsley, M., Duff, R., & Khorsowshahi, E. (Ed.) (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.",

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Lowe, D, Emsley, M, Duff, R & Khorsowshahi, E (ed.) 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. 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, School of Oriental and African Studies, 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 › peer-review

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T1 - The costs of different procurement systems: a decision support model [Selected for the Construction Industry Council (CIC) Industry Challenge Showcase Ranked 1st)

AU - Lowe, David

AU - Emsley, Margaret

AU - Duff, Roy

A2 - Khorsowshahi, E

PY - 2002/9

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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.

KW - Cost Modelling, Decision Support, Early Stage Estimating, Neural Networks, Procurement

M3 - Conference contribution

BT - 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

T2 - 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

Y2 - 6 September 2002 through 8 September 2002

ER -

Lowe D, Emsley M, Duff R, Khorsowshahi E, (ed.). 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)

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