Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Investigating Construction Project Delay Using Fault Tree Analysis Based on Its Dominant Risk on Private Project
https://orcid.org/http://orcid.org/0000-0003-0026-8296
The team project has already arranged the project planning and scheduling, but so many projects have deviations in the schedule. Simultaneously, the project is highly dependent on the existence of all project participants and their environment. The previous study has resulted in many variables that cause project delays but has no ability to predict them in the future. In this research, the author did the survey and interviewed to solve this problem by knowing the causative factors and predicting the probability of their occurrence. Therefore, this study uses the FTA model to predict project delay events based on their variables and mitigate them. Due to so many risk variables, this study used the Pareto diagram to filter them. This diagram can reduce 16 variables into seven variables with the highest risk. The simulation results state that the probability rate of construction project delay on all variables is 0.1000. Still, each variable's contribution, namely environment, worker variables, contractor performance, owner roles, and Construction Management (CM) consultant roles, is 0.0766 0.0138, 0.0074, and 0.0064, respectively. This model has been validated based on existing project data and produces relatively the same occurrence, i.e., the project has behind schedule. Finally, this research also provides mitigation to minimize the risk of project delays.
Investigating Construction Project Delay Using Fault Tree Analysis Based on Its Dominant Risk on Private Project
https://orcid.org/http://orcid.org/0000-0003-0026-8296
The team project has already arranged the project planning and scheduling, but so many projects have deviations in the schedule. Simultaneously, the project is highly dependent on the existence of all project participants and their environment. The previous study has resulted in many variables that cause project delays but has no ability to predict them in the future. In this research, the author did the survey and interviewed to solve this problem by knowing the causative factors and predicting the probability of their occurrence. Therefore, this study uses the FTA model to predict project delay events based on their variables and mitigate them. Due to so many risk variables, this study used the Pareto diagram to filter them. This diagram can reduce 16 variables into seven variables with the highest risk. The simulation results state that the probability rate of construction project delay on all variables is 0.1000. Still, each variable's contribution, namely environment, worker variables, contractor performance, owner roles, and Construction Management (CM) consultant roles, is 0.0766 0.0138, 0.0074, and 0.0064, respectively. This model has been validated based on existing project data and produces relatively the same occurrence, i.e., the project has behind schedule. Finally, this research also provides mitigation to minimize the risk of project delays.
Investigating Construction Project Delay Using Fault Tree Analysis Based on Its Dominant Risk on Private Project
https://orcid.org/http://orcid.org/0000-0003-0026-8296
The team project has already arranged the project planning and scheduling, but so many projects have deviations in the schedule. Simultaneously, the project is highly dependent on the existence of all project participants and their environment. The previous study has resulted in many variables that cause project delays but has no ability to predict them in the future. In this research, the author did the survey and interviewed to solve this problem by knowing the causative factors and predicting the probability of their occurrence. Therefore, this study uses the FTA model to predict project delay events based on their variables and mitigate them. Due to so many risk variables, this study used the Pareto diagram to filter them. This diagram can reduce 16 variables into seven variables with the highest risk. The simulation results state that the probability rate of construction project delay on all variables is 0.1000. Still, each variable's contribution, namely environment, worker variables, contractor performance, owner roles, and Construction Management (CM) consultant roles, is 0.0766 0.0138, 0.0074, and 0.0064, respectively. This model has been validated based on existing project data and produces relatively the same occurrence, i.e., the project has behind schedule. Finally, this research also provides mitigation to minimize the risk of project delays.
Investigating Construction Project Delay Using Fault Tree Analysis Based on Its Dominant Risk on Private Project
Lecture Notes in Civil Engineering
Kristiawan, Stefanus Adi (Herausgeber:in) / Gan, Buntara S. (Herausgeber:in) / Shahin, Mohamed (Herausgeber:in) / Sharma, Akanshu (Herausgeber:in) / Soetjipto, Jojok Widodo (Autor:in) / Sukmana, Amalia Martha (Autor:in) / Arifin, Syamsul (Autor:in)
International Conference on Rehabilitation and Maintenance in Civil Engineering ; 2021 ; Surakarta, Indonesia
19.07.2022
17 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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