Identification of Defect Generation Rules among Defects in Construction Projects Using Association Rule Mining
Jungeun Park,
Yongwoon Cha,
Hamad Al Jassmi,
Sangwon Han and
Chang-taek Hyun
Additional contact information
Jungeun Park: Department of Architectural Engineering, University of Seoul, Seoul 02504, Korea
Yongwoon Cha: Department of Construction Policy Research, Korea Institute of Civil Engineering and Building Technology, Gyonggi-Do 10223, Korea
Hamad Al Jassmi: Department of Civil and Environmental Engineering, United Arab Emirates University, Al Ain 15551, UAE
Sangwon Han: Department of Architectural Engineering, University of Seoul, Seoul 02504, Korea
Chang-taek Hyun: Department of Architectural Engineering, University of Seoul, Seoul 02504, Korea
Sustainability, 2020, vol. 12, issue 9, 1-13
Abstract:
This study aims to identify the defect generation rules between defects, to support effective defect prevention at construction sites. Numerous studies have been performed to identify the relations between defect causes, to prevent defects in construction projects. However, identifying the inter-causal pattern does not yet guarantee an ultimate grasp of what constitutes proper defect mitigation strategies, unless the underlying defect-to-defect generation rules are thoroughly understood too. Specifically, if a defect generated in a work process is ignored without taking necessary corrective action, then additional defects could be generated in its following works as well. Thus, to minimize defect generation, this study analyzes the defects in the sequence of a construction work. To achieve this, the authors collected 9054 defect data, and association rule mining is used to analyze the rules between the defects. Consequently, 216 rules are identified, and 152 rules are classified into 3 categories along with 4 experts (71 expected rules, 22 unexpected but explainable rules, and 59 unexpected and unexplainable rules). The generation rules between the defects identified in this study are expected to be used to regularize various defect types to determine those that require priority management.
Keywords: defect generation rule; defect prevention; construction quality management; association rule mining; multi-family housing (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/2071-1050/12/9/3875/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/9/3875/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:9:p:3875-:d:355963
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().