An Ontology-Based Cost Estimation for Offsite Construction
Author(s): |
Edlira Vakaj
Franco Cheung Jianpeng Cao Abdel-Rahman H. Tawil Panagiotis Patlakas |
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Medium: | journal article |
Language(s): | English |
Published in: | Journal of Information Technology in Construction, February 2023, v. 28 |
Page(s): | 220-245 |
DOI: | 10.36680/j.itcon.2023.011 |
Abstract: |
Design for manufacturing and assembly (DfMA) has been widely applied to support the decision-making process in offsite construction. With a DfMA approach, cost estimation requires taking product design and production processes into consideration. Current studies conduct cost estimation built upon quantity take-offs. However, they do not provide a vocabulary to relate cost estimates to offsite construction processes. This paper presents a new domain ontology, Offsite Housing Ontology (OHO) using the NeOn methodology framework to support cost estimation considering products, resources, and production processes. OHO semantically defines offsite construction domain terminology and relationships. This supports a unified model, required for efficient collaborative design management. The efficiency and effectiveness of the OHO approach are demonstrated in a real-world DfMA scenario through the development of a Knowledge-Based Engineering tool to automate cost estimation. The approach can be adapted and extended to accommodate a very wide range of offsite housing, delivering important optimization and automation benefit from DfMA solutions. |
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data sheet - Reference-ID
10730544 - Published on:
30/05/2023 - Last updated on:
30/05/2023