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Quantitative Modelling Methods for the Incorporation of Uncertainty into Construction Project Estimates

Thesis (MEng (Civil Engineering))--University of Stellenbosch, 2006.

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Bibliographic Details
Main Author: Adams, Russell John
Other Authors: Retief, J. V.
Format: Thesis
Language:English
Published: Stellenbosch : University of Stellenbosch 2008
Subjects:
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access_status_str Open Access
author Adams, Russell John
author2 Retief, J. V.
author_browse Adams, Russell John
Retief, J. V.
author_facet Retief, J. V.
Adams, Russell John
author_sort Adams, Russell John
collection Thesis
dc_rights_str_mv University of Stellenbosch
description Thesis (MEng (Civil Engineering))--University of Stellenbosch, 2006.
format Thesis
id oai:scholar.sun.ac.za:10019.1/2329
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:45:40.774Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2008
publishDateRange 2008
publishDateSort 2008
publisher Stellenbosch : University of Stellenbosch
publisherStr Stellenbosch : University of Stellenbosch
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/2329 Quantitative Modelling Methods for the Incorporation of Uncertainty into Construction Project Estimates Adams, Russell John Retief, J. V. University of Stellenbosch. Faculty of Engineering. Dept. of Civil Engineering. Uncertianty modelling Construction estimate Quantitive methods Relaibility Theses -- Civil engineering Dissertations -- Civil engineering Project management Building -- Estimates Construction industry Construction projects Civil engineering Thesis (MEng (Civil Engineering))--University of Stellenbosch, 2006. Most construction projects do not complete exactly as scheduled or exactly as priced. During the implementation of a project there is almost certainly some deviation from the original estimate. The implementation of a majority of projects has actually been shown to cost more and take longer than originally estimated. However, the duration and cost performance of a project’s implementation is measured against the initial estimate produced. Thus if a project is considered to have completed late or over budget then essentially the duration or cost estimated was insufficient. Due to the fact that estimates are produced in a present day environment for inherently unique projects that occur in uncertain future environments, the estimates produced will need to incorporate uncertainty to increase their likelihood of achievability. This study aims to derive methods to incorporate future uncertainty into project estimates. This uncertainty is incorporated, analysed and manipulated through the use of Probabilistic models and First Order Second Moment Reliability methods. The derived methods provide project management professionals with tools that enable them to design estimates that incorporate future uncertainty and are reliable to a specified degree. Further methods are then derived to probabilistically assess the commercial feasibility of a project in an uncertain future environment. These derived methods then provide project managers and decision makers with more reliable procedures and information which in turn should assist them in making correct, project orientated decisions and ultimately increase profit reliability and client satisfaction. 2008-06-30T09:00:51Z 2010-06-01T08:46:13Z 2008-06-30T09:00:51Z 2010-06-01T08:46:13Z 2007-12 Thesis http://hdl.handle.net/10019.1/2329 en University of Stellenbosch application/pdf Stellenbosch : University of Stellenbosch
spellingShingle Uncertianty modelling
Construction estimate
Quantitive methods
Relaibility
Theses -- Civil engineering
Dissertations -- Civil engineering
Project management
Building -- Estimates
Construction industry
Construction projects
Civil engineering
Adams, Russell John
Quantitative Modelling Methods for the Incorporation of Uncertainty into Construction Project Estimates
title Quantitative Modelling Methods for the Incorporation of Uncertainty into Construction Project Estimates
title_full Quantitative Modelling Methods for the Incorporation of Uncertainty into Construction Project Estimates
title_fullStr Quantitative Modelling Methods for the Incorporation of Uncertainty into Construction Project Estimates
title_full_unstemmed Quantitative Modelling Methods for the Incorporation of Uncertainty into Construction Project Estimates
title_short Quantitative Modelling Methods for the Incorporation of Uncertainty into Construction Project Estimates
title_sort quantitative modelling methods for the incorporation of uncertainty into construction project estimates
topic Uncertianty modelling
Construction estimate
Quantitive methods
Relaibility
Theses -- Civil engineering
Dissertations -- Civil engineering
Project management
Building -- Estimates
Construction industry
Construction projects
Civil engineering
url http://hdl.handle.net/10019.1/2329
work_keys_str_mv AT adamsrusselljohn quantitativemodellingmethodsfortheincorporationofuncertaintyintoconstructionprojectestimates