C.S. Frandsen
In search for classification and selection of spare parts suitable for additive manufacturing: a literature review
Frandsen, C.S.; Nielsen, M.M.; Chaudhuri, A.; Jayaram, J.; Govindan, K.
Authors
M.M. Nielsen
Professor Atanu Chaudhuri atanu.chaudhuri@durham.ac.uk
Professor
J. Jayaram
K. Govindan
Abstract
This paper reviews the literature on additive manufacturing (AM) technologies and equipment, and spare parts classification criteria to propose a systematic process for selecting spare parts which are suitable for AM. This systematic process identifies criteria that can be used to select spare parts that are suitable for AM. The review found that there is limited research that addresses identifying processes for spare parts selection for AM, even though companies have identified this to be a key challenge in adopting AM. Seven areas for future research are identified relating to the methodology of spare parts selection for AM, processes for cross-functional integration in selecting spare parts for AM, broadening the spare parts portfolio that is suitable for AM (by considering usage of AM in conjunction with conventional technologies), and potential impact of AM on product modularity and integrality.
Citation
Frandsen, C., Nielsen, M., Chaudhuri, A., Jayaram, J., & Govindan, K. (2020). In search for classification and selection of spare parts suitable for additive manufacturing: a literature review. International Journal of Production Research, 58(4), 970-996. https://doi.org/10.1080/00207543.2019.1605226
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 25, 2019 |
Online Publication Date | Apr 19, 2019 |
Publication Date | 2020 |
Deposit Date | Sep 14, 2019 |
Publicly Available Date | Apr 19, 2020 |
Journal | International Journal of Production Research |
Print ISSN | 0020-7543 |
Electronic ISSN | 1366-588X |
Publisher | Taylor and Francis Group |
Peer Reviewed | Peer Reviewed |
Volume | 58 |
Issue | 4 |
Pages | 970-996 |
DOI | https://doi.org/10.1080/00207543.2019.1605226 |
Public URL | https://durham-repository.worktribe.com/output/1287064 |
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Copyright Statement
This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 19th April 2019, available online: http://www.tandfonline.com/10.1080/00207543.2019.1605226
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