The “V” model for decision analysis of additive manufacturing implementation
Journal of Manufacturing Technology Management
ISSN: 1741-038X
Article publication date: 24 March 2023
Issue publication date: 28 April 2023
Abstract
Purpose
This study aims to broaden the understanding of the additive manufacturing (AM) body of knowledge, presenting a model better suited to the current level of technological development that supports the decision to implement AM in industries, based on the experience of companies in the industry of orthopedic medical implants.
Design/methodology/approach
Based on the design-science research, the model for the decision to adopt the AM was designed and submitted to experts from the industry of orthopedic implants in Brazil for refinement. For the empirical test of the final model, interviews were used in a company that was considering implementing AM and in another that was not, to evaluate the model.
Findings
The model considers seven dimensions for decision analysis of AM implementation: legal constraints, financial, technological, operational, organizational, supply chain and external factors, being subdivided into 42 criteria that play a relevant role in the implementation decision. The analysis factor of each dimension and criteria are also presented.
Originality/value
The model seeks to be as complete as possible and can be used by various industrial productive sectors, incorporating the analysis of the requirements of health regulatory agencies, suitable for the analysis of the decision to implement AM for the manufacturing of medical implants, not found in other models.
Keywords
Acknowledgements
The authors are grateful to CAPES – Higher Education Personnel Improvement Coordination, Ministry of Education, Brazil, for funding this research, and to Mrs. Dinan Dhom Pimentel Satyro for providing linguistic assistance.
Citation
De Lima, A.F., Satyro, W.C., Contador, J.C., Fragomeni, M.A., Gonçalves, R.F., Martens, M.L. and Pereira, F.H. (2023), "The “V” model for decision analysis of additive manufacturing implementation", Journal of Manufacturing Technology Management, Vol. 34 No. 3, pp. 414-434. https://doi.org/10.1108/JMTM-10-2022-0377
Publisher
:Emerald Publishing Limited
Copyright © 2023, Emerald Publishing Limited