Title
Identifying the Design Feature That Causes Project Delay in DfMA: A Dominant Element Analysis Method for Project Scheduling
Author
Cao, Jianpeng (ETH Zürich)
Zhang, Hang (ETH Zürich)
Pan, Bo (ETH Zürich)
Soman, R. K. (ETH Zürich) 
Savov, Anton (ETH Zürich)
Hall, Daniel M. (TU Delft Design & Construction Management)
Contributor
Turkan, Yelda (editor)
Louis, Joseph (editor)
Leite, Fernanda (editor)
Ergan, Semiha (editor)
Date
2024
Abstract
Design for manufacturing and assembly (DfMA) is an engineering methodology which aims to increase ease of manufacture and efficiency of assembly by considering manufacturing and assembly constraints in the design process. However, current DfMA approaches in the construction sector are not automated enough to identify the design features that may cause project delay in real time. This leads to longer design cycle. Also, current scheduling algorithms rely on human intervention to generate activity network from a design output. Addressing these inefficiencies, we propose an interpretative machining learning model to predict the construction duration given a design output. More importantly, the same model identifies the design features that may cause the most delay in the project. The model is trained on a residential design dataset with various features, such as layout, geometry, and element typology. The output of the model is the project duration and an importance map, indicating the influence each feature of the given design has on the total project duration. The results from this model can considerably reduce the design cycle by supporting architects to create fabrication and assembly aware design even when they have little knowledge of production and assembly processes. This model will contribute to a novel computational approach for DfMA.
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http://resolver.tudelft.nl/uuid:7df8183d-13a9-43e0-8a5b-5d467e33fd8a
Publisher
American Society of Civil Engineers (ASCE), Reston, VA
Embargo date
2024-07-25
ISBN
978-0-7844-8524-8
Source
Computing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023
Event
ASCE International Conference on Computing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation, i3CE 2023, 2023-06-25 → 2023-06-28, Corvallis, United States
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2024 Jianpeng Cao, Hang Zhang, Bo Pan, R. K. Soman, Anton Savov, Daniel M. Hall