Making a decision model in construction companies regarding to weather risk by statistical method

The inclement weather has an effect on the building construction projects duration and cost of projects. It causes stoppage in the projects and makes delays. Most of the project managers have problem to estimate the projects duration properly regarding to uncertain conditions such as weather risks a...

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Main Author:	Marzoughi, Foad
Format:	Thesis
Language:	English
Published:	2010
Subjects:	HD61 Risk Management TH Building construction
Online Access:	http://eprints.utm.my/id/eprint/12312/7/FoadMarzoughiMFSKSM2010.pdf
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id	my-utm-ep.12312
record_format	uketd_dc
spelling	my-utm-ep.123122017-09-20T04:45:35Z Making a decision model in construction companies regarding to weather risk by statistical method 2010-11 Marzoughi, Foad HD61 Risk Management QA75 Electronic computers. Computer science TH Building construction The inclement weather has an effect on the building construction projects duration and cost of projects. It causes stoppage in the projects and makes delays. Most of the project managers have problem to estimate the projects duration properly regarding to uncertain conditions such as weather risks and so on. Due to many weather factors that affect projects duration the principal component analysis (PCA) is used to reduce unnecessary factors. Also the priority and the importance of determined factors are evaluated using and analytical network process (ANP). A time series ARIMA model is used to forecast weather variables which are determined by the PCA and ANP methods. The forecasted value of weather variables will be applied in the multiple non linear regression models to estimate the human resource productivity, supplier efficiency and material norm which affect on duration of the project. .Based on this situation a decision making model which is multiple non linear regression models is proposed to estimate the duration of each activity on conditioned with the human resources productivity, supplier efficiency and material norm. Finally a decision support system is proposed to help project managers to make an accurate estimation for each activity. 2010-11 Thesis http://eprints.utm.my/id/eprint/12312/ http://eprints.utm.my/id/eprint/12312/7/FoadMarzoughiMFSKSM2010.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	HD61 Risk Management HD61 Risk Management TH Building construction
spellingShingle	HD61 Risk Management HD61 Risk Management TH Building construction Marzoughi, Foad Making a decision model in construction companies regarding to weather risk by statistical method
description	The inclement weather has an effect on the building construction projects duration and cost of projects. It causes stoppage in the projects and makes delays. Most of the project managers have problem to estimate the projects duration properly regarding to uncertain conditions such as weather risks and so on. Due to many weather factors that affect projects duration the principal component analysis (PCA) is used to reduce unnecessary factors. Also the priority and the importance of determined factors are evaluated using and analytical network process (ANP). A time series ARIMA model is used to forecast weather variables which are determined by the PCA and ANP methods. The forecasted value of weather variables will be applied in the multiple non linear regression models to estimate the human resource productivity, supplier efficiency and material norm which affect on duration of the project. .Based on this situation a decision making model which is multiple non linear regression models is proposed to estimate the duration of each activity on conditioned with the human resources productivity, supplier efficiency and material norm. Finally a decision support system is proposed to help project managers to make an accurate estimation for each activity.
format	Thesis
qualification_level	Master's degree
author	Marzoughi, Foad
author_facet	Marzoughi, Foad
author_sort	Marzoughi, Foad
title	Making a decision model in construction companies regarding to weather risk by statistical method
title_short	Making a decision model in construction companies regarding to weather risk by statistical method
title_full	Making a decision model in construction companies regarding to weather risk by statistical method
title_fullStr	Making a decision model in construction companies regarding to weather risk by statistical method
title_full_unstemmed	Making a decision model in construction companies regarding to weather risk by statistical method
title_sort	making a decision model in construction companies regarding to weather risk by statistical method
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems
granting_department	Faculty of Computer Science and Information System
publishDate	2010
url	http://eprints.utm.my/id/eprint/12312/7/FoadMarzoughiMFSKSM2010.pdf
_version_	1747814920689287168

Making a decision model in construction companies regarding to weather risk by statistical method

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