The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
A Review of 3D Printing in Construction and its Impact on the Labor Market
Open accessAbstract
Construction industry is very labor-intensive and one of the major sources of employment in the world. The industry is experiencing low productivity with minimum technological innovations for decades. In recent times, various automation technologies including 3D printing have received increasing interests in construction. 3D printing in construction is found to be very promising to automate the construction processes and have the potential of saving laborious work, material waste, construction time, risky operation for humans, etc. There has been a comprehensive body of research conducted to understand the recent advances, future prospects and challenges of large-scale adoption of 3D printing in construction projects. Being one the labor-intensive industries, this study also investigates the possible impact on the labor market with increasing adoption of 3D printing in construction. It is found that 3D printing can reduce significant number of labors which can solve the labor shortage problem, especially for the countries where construction is heavily dependent on immigrant workers. In contrast, 3D printing might not be favorable for the countries where construction is one of the main workforces and labor is less expensive. Moreover, 3D construction printing will also require people with special skills related to this new technology.
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Cites
Industry 4.0 and the current status as well as future prospects on logistics
Hofmann, E., & Rüsch, M. (2017) · Computers in Industry · doi:10.1016/j.compind.2017.04.002 · Cited by 1,841
Developments in construction-scale additive manufacturing processes
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Rheological requirements for printable concretes
Roussel, N. (2018) · Cement and Concrete Research · doi:10.1016/j.cemconres.2018.04.005 · Cited by 1,203
Vision of 3D printing with concrete — Technical, economic and environmental potentials
De Schutter, G., Lesage, K., Mechtcherine, V., Nerella, V. N., Habert, G., & Agusti-Juan, I. (2018) · Cement and Concrete Research · doi:10.1016/j.cemconres.2018.06.001 · Cited by 1,072
A critical review of the use of 3-D printing in the construction industry
Wu, P., Wang, J., & Wang, X. (2016) · Automation in Construction · doi:10.1016/j.autcon.2016.04.005 · Cited by 1,002
3D printing trends in building and construction industry: a review
Tay, Y. W. D., Panda, B., Paul, S. C., Noor Mohamed, N. A., Tan, M. J., & Leong, K. F. (2017) · Virtual and Physical Prototyping · doi:10.1080/17452759.2017.1326724 · Cited by 868
Self-citationBuchanan, C., & Gardner, L. (2019) · Engineering Structures · doi:10.1016/j.engstruct.2018.11.045 · Cited by 826
From rapid prototyping to home fabrication: How 3D printing is changing business model innovation
Rayna, T., & Striukova, L. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.07.023 · Cited by 816
Anisotropic mechanical performance of 3D printed fiber reinforced sustainable construction material
Panda, B., Paul, S. C., & Tan, M. J. (2017) · Materials Letters · doi:10.1016/j.matlet.2017.07.123 · Cited by 742
Self-citationFresh and hardened properties of 3D printable cementitious materials for building and construction
Paul, S. C., Tay, Y. W. D., Panda, B., & Tan, M. J. (2018) · Archives of Civil and Mechanical Engineering · doi:10.1016/j.acme.2017.02.008 · Cited by 633
Self-citation
Cited by
Kafle, A., Luis, E., Silwal, R., Pan, H. M., Shrestha, P. L., & Bastola, A. K. (2021) · Polymers · doi:10.3390/polym13183101 · Cited by 587
Metadata
- Authors
- Hossain, M. A., Zhumabekova, A., Paul, S. C., & Kim, J. R.
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2020-10-15
- Volume
- 12
- Issue
- 20
- Pages
- 8492
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W3092985997
- Cited by
- 319
- References
- 46
- FWCI
- 16.53
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.