Taxonomy for Change Management Processes in Construction Projects
Publication: Construction Research Congress 2024
ABSTRACT
The complexity of construction projects and the multiplicity of stakeholders, organizations, and standards involved call for a unified and common language to support linked data and allow for semantic inference among multiple projects, processes, and actors. While several taxonomies are developed for knowledge management in construction, most of them either have remained at a high level of information exchange or are focused on adapting project data with standards in a specific domain and have served a very narrow and particular range of queries. Although taxonomies that are established at such levels create a broad and general framework for organizing knowledge, they will not enable “cross-analyses” because of incomplete coverage of a particular domain. Hence, this paper proposes a user-level taxonomy, focusing on critical administrative processes in construction projects, that is, change order management. Text mining was applied to extract key concepts from the data of past projects focusing on two main facets, namely, processes and actors. Taxonomy has been developed to serve as the foundation of a new ontology that aims to enable organizations to perform cross-facet and cross-phase semantic queries in large construction databases.
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REFERENCES
Aibinu, A. A., and G. O. Jagboro. 2002. “The Effects of Construction Delays on Project Delivery in Nigerian Construction Industry.” International Journal of Project Management 20 (8): 593–99.
Assaf, S. A., and S. Al-Hejji. 2006. “Causes of Delay in Large Construction Projects.” International Journal of Project Management 24 (4): 349–57.
Bilgin, G. 2011. An Ontology-Based Approach for Delay Analysis. Middle East Technical University.
Christofi, C. 2021. “The True Cost of Not Having a Data Strategy.” Digital Builder. November 5, 2021. https://constructionblog.autodesk.com/data-strategy-apac/.
El-Diraby, T. A., C. Lima, and B. Feis. 2005. “Domain Taxonomy for Construction Concepts: Toward a Formal Ontology for Construction Knowledge.” Journal of Computing in Civil Engineering 19 (4): 394–406.
Golzarpoor, B., C. T. Haas, and D. Rayside. 2016. “Improving Process Conformance with Industry Foundation Processes (IFP).” Advanced Engineering Informatics 30 (2): 143–56.
Golzarpoor, B., C. T. Haas, D. Rayside, S. Kang, and M. Weston. 2018. “Improving Construction Industry Process Interoperability with Industry Foundation Processes (IFP).” Advanced Engineering Informatics 38 (October): 555–68.
Greer, C., D. A. Wollman, D. E. Prochaska, P. A. Boynton, J. A. Mazer, C. T. Nguyen, and G. J. FitzPatrick. 2014. NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 3.0. NIST SP 1108r3. National Institute of Standards and Technology.
“ISO 16739:2013- IFC.” n.d. ISO. Accessed April 3, 2023. https://www.iso.org/standard/51622.html.
Jafari, P., E. Mohamed, S. Lee, and S. Abourizk. 2020. “Social Network Analysis of Change Management Processes for Communication Assessment.” Automation in Construction 118: 103292.
Koushki, P. A., K. Al‐Rashid, and N. Kartam. 2005. “Delays and Cost Increases in the Construction of Private Residential Projects in Kuwait.” Construction Management and Economics 23 (3): 285–94.
Kumar, V. R. S., A. Khamis, S. Fiorini, J. L. Carbonera, A. O. Alarcos, M. Habib, P. Goncalves, H. Li, and J. I. Olszewska. 2019. “Ontologies for Industry 4.0.” The Knowledge Engineering Review 34.
Lima, C., T. El Diraby, B. Fies, A. Zarli, and E. Ferneley. 2003. “The E-COGNOS Project: Current Status and Future Directions of an Ontology-Enabled IT Solution Infrastructure Supporting Knowledge Management in Construction.” In Construction Research Congress: Wind of Change: Integration and Innovation, 1–8.
Pauwels, P., S. Zhang, and Y.-C. Lee. 2017. “Semantic Web Technologies in AEC Industry: A Literature Overview.” Automation in Construction 73 (January): 145–65.
Pritoni, M., D. Paine, G. Fierro, C. Mosiman, M. Poplawski, A. Saha, J. Bender, and J. Granderson. 2021. “Metadata Schemas and Ontologies for Building Energy Applications: A Critical Review and Use Case Analysis.” Energies 14 (7): 2024.
“Procore Construction Management Software.” n.d. Accessed May 10, 2023. https://www.procore.com/en-ca.
Sanni-Anibire, M. O., R. Mohamad Zin, and S. O. Olatunji. 2022. “Causes of Delay in the Global Construction Industry: A Meta Analytical Review.” International Journal of Construction Management 22 (8): 1395–1407.
Shabani Ardakani, S., and M. Nik-Bakht. 2021. “Functional Evaluation of Change Order and Invoice Management Processes under Different Procurement Strategies: Social Network Analysis Approach.” Journal of Construction Engineering and Management 147 (1): 04020155.
Sun, M., and X. Meng. 2009. “Taxonomy for Change Causes and Effects in Construction Projects.” International Journal of Project Management 27 (6): 560–72.
Zhang, S., F. Boukamp, and J. Teizer. 2015. “Ontology-Based Semantic Modeling of Construction Safety Knowledge: Towards Automated Safety Planning for Job Hazard Analysis (JHA).” Automation in Construction 52: 29–41.
Zheng, Y., S. Törmä, and O. Seppänen. 2021. “A Shared Ontology Suite for Digital Construction Workflow.” Automation in Construction 132: 103930.
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Construction Research Congress 2024
Pages: 309 - 318
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Published online: Mar 18, 2024
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