Application of fuzzy fault tree analysis to identify factors influencing construction labor productivity: a high-rise building case study

The aim of this research is to develop a systematic approach to identify and prioritize the most influencing factors on labor productivity in a construction project, with respect to their interrelations, and also investigate different scenarios which can affect it. In the first step, factors influen...
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Gespeichert in:

Autor*in:	Shahab Shoar [verfasserIn] Audrius Banaitis [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	construction management quantitative risk analysis labor productivity influential factors fault tree analysis fuzzy set theory

Übergeordnetes Werk:	In: Journal of Civil Engineering and Management - Vilnius Gediminas Technical University, 2018, 25(2019), 1
Übergeordnetes Werk:	volume:25 ; year:2019 ; number:1

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.3846/jcem.2019.7785

Katalog-ID:	DOAJ070428611

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spelling	10.3846/jcem.2019.7785 doi (DE-627)DOAJ070428611 (DE-599)DOAJdb246101f5a04f3f8ff3f9a58c5bc771 DE-627 ger DE-627 rakwb eng TH1-9745 Shahab Shoar verfasserin aut Application of fuzzy fault tree analysis to identify factors influencing construction labor productivity: a high-rise building case study 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The aim of this research is to develop a systematic approach to identify and prioritize the most influencing factors on labor productivity in a construction project, with respect to their interrelations, and also investigate different scenarios which can affect it. In the first step, factors influencing construction labor productivity were identified through reviewing previous researches. Applying a group of experts, the most important factors were then determined using their relative importance index in the second step. In the third step, the interrelations among factors were determined through several sessions and interviewing those experts. Finally, the efficiency of the proposed methodology is proved by implementing in a real high rise building construction project. In this step, the selected factors from previous steps were used subsequently for analyzing their impact on labor productivity through fuzzy fault tree analysis. The probability of occurrence of events was determined according to the opinions of four members of the project management team who involved in that project. The most critical causes were also identified using importance analysis. It is believed that using the proposed methodology, appropriate response strategies could be adopted against the identified critical events to enhance the overall productivity of a construction project. construction management quantitative risk analysis labor productivity influential factors fault tree analysis fuzzy set theory Building construction Audrius Banaitis verfasserin aut In Journal of Civil Engineering and Management Vilnius Gediminas Technical University, 2018 25(2019), 1 (DE-627)634757601 (DE-600)2571620-7 18223605 nnns volume:25 year:2019 number:1 https://doi.org/10.3846/jcem.2019.7785 kostenfrei https://doaj.org/article/db246101f5a04f3f8ff3f9a58c5bc771 kostenfrei https://tede.vgtu.lt/index.php/JCEM/article/view/7785 kostenfrei https://doaj.org/toc/1392-3730 Journal toc kostenfrei https://doaj.org/toc/1822-3605 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 25 2019 1
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allfieldsGer	10.3846/jcem.2019.7785 doi (DE-627)DOAJ070428611 (DE-599)DOAJdb246101f5a04f3f8ff3f9a58c5bc771 DE-627 ger DE-627 rakwb eng TH1-9745 Shahab Shoar verfasserin aut Application of fuzzy fault tree analysis to identify factors influencing construction labor productivity: a high-rise building case study 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The aim of this research is to develop a systematic approach to identify and prioritize the most influencing factors on labor productivity in a construction project, with respect to their interrelations, and also investigate different scenarios which can affect it. In the first step, factors influencing construction labor productivity were identified through reviewing previous researches. Applying a group of experts, the most important factors were then determined using their relative importance index in the second step. In the third step, the interrelations among factors were determined through several sessions and interviewing those experts. Finally, the efficiency of the proposed methodology is proved by implementing in a real high rise building construction project. In this step, the selected factors from previous steps were used subsequently for analyzing their impact on labor productivity through fuzzy fault tree analysis. The probability of occurrence of events was determined according to the opinions of four members of the project management team who involved in that project. The most critical causes were also identified using importance analysis. It is believed that using the proposed methodology, appropriate response strategies could be adopted against the identified critical events to enhance the overall productivity of a construction project. construction management quantitative risk analysis labor productivity influential factors fault tree analysis fuzzy set theory Building construction Audrius Banaitis verfasserin aut In Journal of Civil Engineering and Management Vilnius Gediminas Technical University, 2018 25(2019), 1 (DE-627)634757601 (DE-600)2571620-7 18223605 nnns volume:25 year:2019 number:1 https://doi.org/10.3846/jcem.2019.7785 kostenfrei https://doaj.org/article/db246101f5a04f3f8ff3f9a58c5bc771 kostenfrei https://tede.vgtu.lt/index.php/JCEM/article/view/7785 kostenfrei https://doaj.org/toc/1392-3730 Journal toc kostenfrei https://doaj.org/toc/1822-3605 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 25 2019 1
allfieldsSound	10.3846/jcem.2019.7785 doi (DE-627)DOAJ070428611 (DE-599)DOAJdb246101f5a04f3f8ff3f9a58c5bc771 DE-627 ger DE-627 rakwb eng TH1-9745 Shahab Shoar verfasserin aut Application of fuzzy fault tree analysis to identify factors influencing construction labor productivity: a high-rise building case study 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The aim of this research is to develop a systematic approach to identify and prioritize the most influencing factors on labor productivity in a construction project, with respect to their interrelations, and also investigate different scenarios which can affect it. In the first step, factors influencing construction labor productivity were identified through reviewing previous researches. Applying a group of experts, the most important factors were then determined using their relative importance index in the second step. In the third step, the interrelations among factors were determined through several sessions and interviewing those experts. Finally, the efficiency of the proposed methodology is proved by implementing in a real high rise building construction project. In this step, the selected factors from previous steps were used subsequently for analyzing their impact on labor productivity through fuzzy fault tree analysis. The probability of occurrence of events was determined according to the opinions of four members of the project management team who involved in that project. The most critical causes were also identified using importance analysis. It is believed that using the proposed methodology, appropriate response strategies could be adopted against the identified critical events to enhance the overall productivity of a construction project. construction management quantitative risk analysis labor productivity influential factors fault tree analysis fuzzy set theory Building construction Audrius Banaitis verfasserin aut In Journal of Civil Engineering and Management Vilnius Gediminas Technical University, 2018 25(2019), 1 (DE-627)634757601 (DE-600)2571620-7 18223605 nnns volume:25 year:2019 number:1 https://doi.org/10.3846/jcem.2019.7785 kostenfrei https://doaj.org/article/db246101f5a04f3f8ff3f9a58c5bc771 kostenfrei https://tede.vgtu.lt/index.php/JCEM/article/view/7785 kostenfrei https://doaj.org/toc/1392-3730 Journal toc kostenfrei https://doaj.org/toc/1822-3605 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 25 2019 1
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callnumber-first	T - Technology
author	Shahab Shoar
spellingShingle	Shahab Shoar misc TH1-9745 misc construction management misc quantitative risk analysis misc labor productivity misc influential factors misc fault tree analysis misc fuzzy set theory misc Building construction Application of fuzzy fault tree analysis to identify factors influencing construction labor productivity: a high-rise building case study
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topic_title	TH1-9745 Application of fuzzy fault tree analysis to identify factors influencing construction labor productivity: a high-rise building case study construction management quantitative risk analysis labor productivity influential factors fault tree analysis fuzzy set theory
topic	misc TH1-9745 misc construction management misc quantitative risk analysis misc labor productivity misc influential factors misc fault tree analysis misc fuzzy set theory misc Building construction
topic_unstemmed	misc TH1-9745 misc construction management misc quantitative risk analysis misc labor productivity misc influential factors misc fault tree analysis misc fuzzy set theory misc Building construction
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title	Application of fuzzy fault tree analysis to identify factors influencing construction labor productivity: a high-rise building case study
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title_sort	application of fuzzy fault tree analysis to identify factors influencing construction labor productivity: a high-rise building case study
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title_auth	Application of fuzzy fault tree analysis to identify factors influencing construction labor productivity: a high-rise building case study
abstract	The aim of this research is to develop a systematic approach to identify and prioritize the most influencing factors on labor productivity in a construction project, with respect to their interrelations, and also investigate different scenarios which can affect it. In the first step, factors influencing construction labor productivity were identified through reviewing previous researches. Applying a group of experts, the most important factors were then determined using their relative importance index in the second step. In the third step, the interrelations among factors were determined through several sessions and interviewing those experts. Finally, the efficiency of the proposed methodology is proved by implementing in a real high rise building construction project. In this step, the selected factors from previous steps were used subsequently for analyzing their impact on labor productivity through fuzzy fault tree analysis. The probability of occurrence of events was determined according to the opinions of four members of the project management team who involved in that project. The most critical causes were also identified using importance analysis. It is believed that using the proposed methodology, appropriate response strategies could be adopted against the identified critical events to enhance the overall productivity of a construction project.
abstractGer	The aim of this research is to develop a systematic approach to identify and prioritize the most influencing factors on labor productivity in a construction project, with respect to their interrelations, and also investigate different scenarios which can affect it. In the first step, factors influencing construction labor productivity were identified through reviewing previous researches. Applying a group of experts, the most important factors were then determined using their relative importance index in the second step. In the third step, the interrelations among factors were determined through several sessions and interviewing those experts. Finally, the efficiency of the proposed methodology is proved by implementing in a real high rise building construction project. In this step, the selected factors from previous steps were used subsequently for analyzing their impact on labor productivity through fuzzy fault tree analysis. The probability of occurrence of events was determined according to the opinions of four members of the project management team who involved in that project. The most critical causes were also identified using importance analysis. It is believed that using the proposed methodology, appropriate response strategies could be adopted against the identified critical events to enhance the overall productivity of a construction project.
abstract_unstemmed	The aim of this research is to develop a systematic approach to identify and prioritize the most influencing factors on labor productivity in a construction project, with respect to their interrelations, and also investigate different scenarios which can affect it. In the first step, factors influencing construction labor productivity were identified through reviewing previous researches. Applying a group of experts, the most important factors were then determined using their relative importance index in the second step. In the third step, the interrelations among factors were determined through several sessions and interviewing those experts. Finally, the efficiency of the proposed methodology is proved by implementing in a real high rise building construction project. In this step, the selected factors from previous steps were used subsequently for analyzing their impact on labor productivity through fuzzy fault tree analysis. The probability of occurrence of events was determined according to the opinions of four members of the project management team who involved in that project. The most critical causes were also identified using importance analysis. It is believed that using the proposed methodology, appropriate response strategies could be adopted against the identified critical events to enhance the overall productivity of a construction project.
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title_short	Application of fuzzy fault tree analysis to identify factors influencing construction labor productivity: a high-rise building case study
url	https://doi.org/10.3846/jcem.2019.7785 https://doaj.org/article/db246101f5a04f3f8ff3f9a58c5bc771 https://tede.vgtu.lt/index.php/JCEM/article/view/7785 https://doaj.org/toc/1392-3730 https://doaj.org/toc/1822-3605
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Application of fuzzy fault tree analysis to identify factors influencing construction labor productivity: a high-rise building case study

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