Productivity of digital fabrication in construction: Cost and time analysis of a robotically built wall
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Date
2018-08Type
- Journal Article
Citations
Cited 148 times in
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Cited 190 times in
Scopus
ETH Bibliography
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Abstract
Although automation has been actively and successfully used in different industries since the 1970s, its application to the construction industry is still rare or not fully exploited. In order to help provide the construction industry with an additional incentive to adopt more automation, an investigation was undertaken to assess the effects of digital fabrication (dfab) on productivity by analyzing the cost and time required for the construction of a robotically-fabricated complex concrete wall onsite. After defining the different tasks for the conventional and robotically fabricated concrete wall, data was collected from different sources and used in a simulation to describe the distribution of time and cost for the different construction scenarios. In the example, it was found that productivity is higher when the robotic construction method is used for complex walls, indicating that it is possible to obtain significant economic benefit from the use of additive dfab to construct complex structures. Further research is required to assess the social impacts of using dfab. Show more
Publication status
publishedExternal links
Journal / series
Automation in ConstructionVolume
Pages / Article No.
Publisher
ElsevierSubject
3D Printing; Additive manufacturing; Construction automation; Construction industry; Digital fabrication; Industrialized construction; Labor productivity; Robot system; Robotic constructionOrganisational unit
03859 - Adey, Bryan T. / Adey, Bryan T.
09624 - Hall, Daniel M. (ehemalig) / Hall, Daniel M. (former)
03972 - Habert, Guillaume / Habert, Guillaume
02655 - Netzwerk Stadt und Landschaft D-ARCH
02284 - NFS Digitale Fabrikation / NCCR Digital Fabrication
02284 - NFS Digitale Fabrikation / NCCR Digital Fabrication
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Is derived from: https://doi.org/10.3929/ethz-b-000404177
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Show all metadata
Citations
Cited 148 times in
Web of Science
Cited 190 times in
Scopus
ETH Bibliography
yes
Altmetrics