Quality Failures-Based Critical Cost Impact Factors: Logistic Regression Analysis

Basit Öğe Kaydı
dc.authoridTokdemir, Onur Behzat/0000-0002-4101-8560
dc.contributor.authorKazar, Gökhan
dc.contributor.authorDoğan, Neset Berkay
dc.contributor.authorAyhan, Bilal Umut
dc.contributor.authorTokdemir, Onur Behzat
dc.date.accessioned2024-09-11T19:51:25Z
dc.date.available2024-09-11T19:51:25Z
dc.date.issued2022
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description.abstractDue 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.en_US
dc.identifier.doi10.1061/(ASCE)CO.1943-7862.0002412
dc.identifier.issn0733-9364
dc.identifier.issn1943-7862
dc.identifier.issue12en_US
dc.identifier.scopus2-s2.0-85140450703en_US
dc.identifier.urihttps://doi.org/10.1061/(ASCE)CO.1943-7862.0002412
dc.identifier.urihttps://hdl.handle.net/11363/7786
dc.identifier.volume148en_US
dc.identifier.wosWOS:000867888600006en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherAsce-Amer Soc Civil Engineersen_US
dc.relation.ispartofJournal of Construction Engineering And Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240903_Gen_US
dc.subjectConstruction qualityen_US
dc.subjectQuality failure costen_US
dc.subjectNonconformanceen_US
dc.subjectLogistic regressionen_US
dc.subjectDomino effecten_US
dc.titleQuality Failures-Based Critical Cost Impact Factors: Logistic Regression Analysisen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu