Predicting Cost Impacts of Nonconformances in Construction Projects Using Interpretable Machine Learning-Reference-Cited by-同舟云学术

Predicting Cost Impacts of Nonconformances in Construction Projects Using Interpretable Machine Learning

Published:2024-01 Issue:1 Volume:150 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Koc Kerim¹^ORCID,Budayan Cenk²^ORCID,Ekmekcioğlu Ömer³^ORCID,Tokdemir Onur Behzat⁴^ORCID

Affiliation:

1. Assistant Professor, Dept. of Civil Engineering, Yildiz Technical Univ., Esenler, Istanbul 34220, Turkey (corresponding author). ORCID: .

2. Associate Professor, Dept. of Civil Engineering, Middle East Technical Univ. Northern Cyprus Campus, Mersin 99738, Turkey. ORCID: .

3. Assistant Professor, Dept. of Disaster and Emergency Management, Disaster Management Institute, Istanbul Technical Univ., Istanbul 34469, Turkey. ORCID: .

4. Associate Professor, Dept. of Civil Engineering, Istanbul Technical Univ., Istanbul 34469, Turkey. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JCEMD4.COENG-13857

Reference79 articles.

1. Cost of quality in Dubai: An analytical case study of residential construction projects

2. The cost of non-conformance during a highway project: a case study

3. Capturing the cost of non‐conformance on construction sites

4. FACTORS CAUSING REWORK AND THEIR IMPACT ON PROJECTS’ PERFORMANCE IN EGYPT

5. An explainable machine learning framework for lung cancer hospital length of stay prediction

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