Innovative Model for Assessing the Level of Failure Risk in Construction and Buildings

S. Sayfuddin, Henny Pratiwi Adi, Tom Joy Pentenga

Abstract


This research explores risk management in construction projects to prevent potential failures due to natural factors or human errors. The objective is to develop a risk assessment model for failures in construction and building projects, focusing on identification, categorization, risk level determination, and model development. The research benefits encompass theoretical contributions to construction risk management, governmental policy guidelines, operational assistance in project risk management, and enhancements in the safety and quality of construction projects. This research innovates by expanding research variables, incorporating failure risk level assessments, and utilizing technological approaches. The research methodology combines quantitative and descriptive approaches, focusing on failure risk factors from service/contractor providers, consultants, and project owners. Data is obtained through literature studies, secondary data, and primary data via questionnaires. The analysis involves factor analysis, importance index, impact probability matrix, and the Partial Least Square (PLS) method for structural analysis. The research conclusion identifies failure risk factors including financial aspects, management, equipment availability, and natural impacts such as floods and earthquakes. The risk assessment model categorizes risks into high, medium, and low, enabling appropriate anticipatory measures. This model provides guidance for stakeholders to mitigate risks, improve quality, and maintain the integrity of construction projects and buildings, supporting safety and success throughout project stages. This research makes a significant contribution to construction project risk management and construction quality improvement.

Keywords


risk management; construction projects; risk assessment model; failure risk factors; safety and quality improvement

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References


Aslam A et al 2020 Risk Assessment of Construction Projects: A Comparative Study of Fuzzy Analytic Hierarchy Process (FAHP) and Monte Carlo Simulation (MCS)

Al-Ageeli H K & Alzobaee A S J A 2016 The most influential factor on the stumble and failure of the governmental projects Journal of Engineering 22(2), 93-110

Aslam A et al 2020 Risk Assessment of Construction Projects: A Comparative Study of Fuzzy Analytic Hierarchy Process (FAHP) and Monte Carlo Simulation (MCS)

Assaf S, Srour O, & Hassanain MA 2013) Causes of Failure of Small Contractors in Saudi Arabia International Journal of Construction Management 13

Arslan S, Kivrak M T, Birgonul I, Dikmen I 2008 Improving Sub-contractor SelectionProcess in Construction Projects: Web-based Sub-contractor Evaluation System (WEBSITES) Automation in Construction 17(4)

Gunaldi G, Imaroh T S 2022 The Effect of Prevention Aspects, Assessment Aspects, Internal Failure Aspects, and External Failure Aspects on the Benefits of Construction Company Projects

Ebrahimzadeh Y, Najafi S, Mahdavi M 2021 Investigating the Causes and Effects of Failure in Construction Projects in the Health Sector using the Interpretive Structural Modeling Method

Ren Z, Zhang L 2010 A Comprehensive Risk Assessment Model for Construction Projects

Ren S, Lu W, & Zhang Y 2019) Quantitative Risk Assessment of Construction Project Cost Overrun

Wang T, Zuo D 2014 Risk Assessment of Road Construction Projects using the Fuzzy Synthetic Evaluation Method

Ye W, Luo Z, Guo Z 2021 The Impacts of Sub-contractors’ Performance on the Quality of the Main Contractor’s Work: The Mediating Role of Project Performance




DOI: http://dx.doi.org/10.30659/jacee.7.1.18-29

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JACEE (Journal of Advanced Civil and Environmental Engineering)
is published by Fakultas Teknik Universitas Islam Sultan Agung, Indonesia, in collaboration with Federation Internationale du Beton (fib).
Jl. Raya Kaligawe Km.4, PO BOX 1054/SM Semarang 50112
Website: https://ft.unissula.ac.id/
Email: jacee@unissula.ac.id

ISSN: 2599-3356 (Online)
DOI : 10.30659/jacee

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