Quality Failures–Based Critical Cost Impact Factors: Logistic Regression Analysis
Publication: Journal of Construction Engineering and Management
Volume 148, Issue 12
Abstract
Due to the various dynamic conditions of construction sites, quality failures have become part and parcel of the industry. Many studies have identified the causal factors of construction site quality failures and their cost impacts. However, limited studies have been made evaluating the domino effects of these on one another and the correlation between the cost impact and frequency of each attribute. In this study, made in the context of ongoing research into related artificial intelligence (AI)–based predictive models, a total of 2,527 nonconformance reports (NCRs) collected from 59 construction projects within the scope of a previous study were analyzed using the Delphi method and logistic regression analysis. According to the Delphi results, 25 critical cost impact factors were refined and categorized into five main groups: Materials, Design, Installation, Operation, and Process. Then, five main hypotheses were developed to test each attribute’s cost impact and interaction by logistic regression. The results showed that although some attributes (from the Materials and Operation groups) have a significant impact on the cost of quality if observed in a failure report individually, others may become a critical cost-impact factor when interacting with other attributes. No significant correlation was observed between the frequency and cost impact of the attributes. Finally, a holistically based quality control system that considers the domino effects of causal factors from planning to operation was proposed for construction practitioners to reduce quality failures causing cost and time overruns.
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Data Availability Statement
Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors would like to thank the experts who participated in the Delphi process for their efforts and companies that provided data anonymously for their contributions.
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Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 148 • Issue 12 • December 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Dec 15, 2021
Accepted: Jul 25, 2022
Published online: Oct 14, 2022
Published in print: Dec 1, 2022
Discussion open until: Mar 14, 2023
ASCE Technical Topics:
- Analysis (by type)
- Benefit cost ratios
- Business management
- Construction costs
- Construction engineering
- Construction management
- Construction methods
- Construction sites
- Correlation
- Engineering fundamentals
- Failure analysis
- Financial management
- Freight transportation
- Infrastructure
- Logistics
- Mathematics
- Practice and Profession
- Project management
- Regression analysis
- Statistical analysis (by type)
- Statistics
- Transportation engineering
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