Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Delay Analysis Selection Model for a Construction Project
https://orcid.org/http://orcid.org/0000-0003-3680-3609
https://orcid.org/http://orcid.org/0000-0002-1580-324X
https://orcid.org/http://orcid.org/0000-0001-9205-3836
https://orcid.org/http://orcid.org/0000-0003-2707-2701
The decision to use static, dynamic, additive, or subtractive delay analysis is critical because making the wrong decision may have serious undesired consequences. As a response to this problem, a delay analysis selection (DAS) model was developed that identifies the most appropriate type of delay analysis for a target case. The model constitutes the first step of a two-step process to perform delay analysis. It involves a case-base that is populated by 3,776 possible cases developed by using combinations of 26 attributes that were found in the literature to influence the selection of the most appropriate type of delay analysis. The 26 attributes were organized in 7 categories. The weights of the attributes and the categories were calculated using the entropy method. The DAS model finds the best match between a target case and one of the cases stored in the case-base by performing weighted case similarity assessment. The type of delay analysis that is indicated in the matched case is adopted for use in the target case. This study is the first attempt to automate the selection of the most appropriate type of delay analysis. Once the most suitable type of delay analysis is identified in the first step, it is immediately performed in the second step.
Delay Analysis Selection Model for a Construction Project
https://orcid.org/http://orcid.org/0000-0003-3680-3609
https://orcid.org/http://orcid.org/0000-0002-1580-324X
https://orcid.org/http://orcid.org/0000-0001-9205-3836
https://orcid.org/http://orcid.org/0000-0003-2707-2701
The decision to use static, dynamic, additive, or subtractive delay analysis is critical because making the wrong decision may have serious undesired consequences. As a response to this problem, a delay analysis selection (DAS) model was developed that identifies the most appropriate type of delay analysis for a target case. The model constitutes the first step of a two-step process to perform delay analysis. It involves a case-base that is populated by 3,776 possible cases developed by using combinations of 26 attributes that were found in the literature to influence the selection of the most appropriate type of delay analysis. The 26 attributes were organized in 7 categories. The weights of the attributes and the categories were calculated using the entropy method. The DAS model finds the best match between a target case and one of the cases stored in the case-base by performing weighted case similarity assessment. The type of delay analysis that is indicated in the matched case is adopted for use in the target case. This study is the first attempt to automate the selection of the most appropriate type of delay analysis. Once the most suitable type of delay analysis is identified in the first step, it is immediately performed in the second step.
Delay Analysis Selection Model for a Construction Project
https://orcid.org/http://orcid.org/0000-0003-3680-3609
https://orcid.org/http://orcid.org/0000-0002-1580-324X
https://orcid.org/http://orcid.org/0000-0001-9205-3836
https://orcid.org/http://orcid.org/0000-0003-2707-2701
The decision to use static, dynamic, additive, or subtractive delay analysis is critical because making the wrong decision may have serious undesired consequences. As a response to this problem, a delay analysis selection (DAS) model was developed that identifies the most appropriate type of delay analysis for a target case. The model constitutes the first step of a two-step process to perform delay analysis. It involves a case-base that is populated by 3,776 possible cases developed by using combinations of 26 attributes that were found in the literature to influence the selection of the most appropriate type of delay analysis. The 26 attributes were organized in 7 categories. The weights of the attributes and the categories were calculated using the entropy method. The DAS model finds the best match between a target case and one of the cases stored in the case-base by performing weighted case similarity assessment. The type of delay analysis that is indicated in the matched case is adopted for use in the target case. This study is the first attempt to automate the selection of the most appropriate type of delay analysis. Once the most suitable type of delay analysis is identified in the first step, it is immediately performed in the second step.
Delay Analysis Selection Model for a Construction Project
KSCE J Civ Eng
Yang, Juneseok (Autor:in) / Arditi, David (Autor:in) / Lee, Dong-Eun (Autor:in) / Mutis, Ivan (Autor:in)
KSCE Journal of Civil Engineering ; 26 ; 4926-4941
01.12.2022
16 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
From Construction Project Success to Integrated Construction Project Selection
| British Library Conference Proceedings | 2010