Decision Making Framework for Optimizing Construction Management Objectives: A review
Construction project including group of interrelated work activities constrained that by 13 knowledge areas. It is made up to achieve specific objectives. During management processes objective functions and constraints have to be optimized. This paper discusses the difficulties appear during making...
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my.utp.eprints.90072013-03-07T03:42:34Z Decision Making Framework for Optimizing Construction Management Objectives: A review Mohamed Elhassan, Sami Mustafa Wan Abdullah Zawawi, Noor Amila Ghazali, Zulkipli TA Engineering (General). Civil engineering (General) TH Building construction Construction project including group of interrelated work activities constrained that by 13 knowledge areas. It is made up to achieve specific objectives. During management processes objective functions and constraints have to be optimized. This paper discusses the difficulties appear during making decisions in construction management. Then it addresses how optimization techniques can provide tools for making optimal or best decisions with respect to construction project management. It reviews s some literature concerned with using artificial intelligence algorithms in optimization models applied to make decisions required for managing construction project. This paper aims at presenting the general steps required in this area of research and shows that there are still many research gaps in making decision in construction projects and a lot of opportunities for future studies. 2012-12-03 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/9007/1/CHEMCIV-27.pdf http://www.wseas.us/e-library/conferences/2012/Paris/CHEMCIV/CHEMCIV-41.pdf Mohamed Elhassan, Sami Mustafa and Wan Abdullah Zawawi, Noor Amila and Ghazali, Zulkipli (2012) Decision Making Framework for Optimizing Construction Management Objectives: A review. In: 3rd European Conference of Civil Engineering (ECCIE '12), 3-4 December, Paris. http://eprints.utp.edu.my/9007/ |
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TA Engineering (General). Civil engineering (General) TH Building construction Mohamed Elhassan, Sami Mustafa Wan Abdullah Zawawi, Noor Amila Ghazali, Zulkipli Decision Making Framework for Optimizing Construction Management Objectives: A review |
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Construction project including group of interrelated work activities constrained that by 13 knowledge areas. It is made up to achieve specific objectives. During management processes objective functions and constraints have to be optimized. This paper discusses the difficulties appear during making decisions in construction management. Then it addresses how optimization techniques can provide tools for
making optimal or best decisions with respect to construction project management. It reviews s some literature concerned with using artificial intelligence algorithms in optimization models applied to make decisions required for managing construction project. This paper aims at presenting the general steps required in this area of research and shows that there are still many research gaps in making decision in construction projects and a lot of opportunities for future studies. |
format |
Conference or Workshop Item |
author |
Mohamed Elhassan, Sami Mustafa Wan Abdullah Zawawi, Noor Amila Ghazali, Zulkipli |
author_facet |
Mohamed Elhassan, Sami Mustafa Wan Abdullah Zawawi, Noor Amila Ghazali, Zulkipli |
author_sort |
Mohamed Elhassan, Sami Mustafa |
title |
Decision Making Framework for Optimizing Construction Management Objectives: A review |
title_short |
Decision Making Framework for Optimizing Construction Management Objectives: A review |
title_full |
Decision Making Framework for Optimizing Construction Management Objectives: A review |
title_fullStr |
Decision Making Framework for Optimizing Construction Management Objectives: A review |
title_full_unstemmed |
Decision Making Framework for Optimizing Construction Management Objectives: A review |
title_sort |
decision making framework for optimizing construction management objectives: a review |
publishDate |
2012 |
url |
http://eprints.utp.edu.my/9007/1/CHEMCIV-27.pdf http://www.wseas.us/e-library/conferences/2012/Paris/CHEMCIV/CHEMCIV-41.pdf http://eprints.utp.edu.my/9007/ |
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1738655695545303040 |
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13.211869 |