Mirco Peron, Nicolò Saporiti, Majid Shoeibi, Jan Holmström, Mika Salmi
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引用次数: 0
Abstract
Purpose
This works provides a thorough understanding of the challenges and opportunities associated with Additive Manufacturing (AM) adoption in the medical sector. Through this analysis, we aim to better understand when to adopt AM, how to do so, and how such adoption might change in the future.
Design/methodology/approach
This research first conducted a systematic literature review (SLR) to identify AM challenges and opportunities in the medical sector, which were then validated through a Delphi study. The 18 Delphi study participants were also asked to suggest countermeasures for the challenges and help identify future AM adoption scenarios. Finally, these findings were analyzed according to the ecosystem pie model to design an ecosystem model for AM in the medical sector.
Findings
Among the 13 challenges and 13 opportunities identified, the lack of a skilled workforce and the responsiveness achievable via AM were by far the most relevant challenge and opportunity. Moreover, the participants identified countermeasures for 10 challenges, as well as three future AM adoption scenarios. Finally, leveraging these findings, an ecosystem model was developed.
Originality/value
This work contributes to the limited understanding of the AM challenges and opportunities in the medical sector. It helps medical practitioners to better understand the challenges and opportunities associated with AM and AM manufacturers to better identify where to focus their R&D efforts and how this would impact future AM adoption levels. Furthermore, this work extends current theory supporting the design of an ecosystem model for AM in the medical sector following the ecosystem pie model.
目的本研究透彻地了解了医疗行业采用增材制造(AM)所面临的挑战和机遇。通过分析,我们旨在更好地了解何时采用增材制造、如何采用以及这种采用在未来可能会发生哪些变化。本研究首先进行了系统的文献综述(SLR),以确定医疗行业采用增材制造所面临的挑战和机遇,然后通过德尔菲研究对这些挑战和机遇进行验证。德尔菲研究的 18 位参与者还被要求针对这些挑战提出对策建议,并帮助确定未来采用 AM 的情景。最后,根据生态系统饼模型对这些研究结果进行了分析,从而设计出医疗行业 AM 生态系统模型。研究结果在确定的 13 项挑战和 13 项机遇中,缺乏熟练劳动力和通过 AM 实现的响应速度是迄今为止最相关的挑战和机遇。此外,与会者还确定了应对 10 项挑战的对策,以及未来采用 AM 的三种情况。最后,利用这些发现开发了一个生态系统模型。它有助于医疗从业人员更好地了解与 AM 相关的挑战和机遇,也有助于 AM 制造商更好地确定研发工作的重点,以及这将如何影响未来 AM 的采用水平。此外,这项工作还扩展了当前的理论,支持按照生态系统饼模型设计医疗领域的 AM 生态系统模型。
期刊介绍:
The mission of the International Journal of Operations & Production Management (IJOPM) is to publish cutting-edge, innovative research with the potential to significantly advance the field of Operations and Supply Chain Management, both in theory and practice. Drawing on experiences from manufacturing and service sectors, in both private and public contexts, the journal has earned widespread respect in this complex and increasingly vital area of business management.
Methodologically, IJOPM encompasses a broad spectrum of empirically-based inquiry using suitable research frameworks, as long as they offer generic insights of substantial value to operations and supply chain management. While the journal does not categorically exclude specific empirical methodologies, it does not accept purely mathematical modeling pieces. Regardless of the chosen mode of inquiry or methods employed, the key criteria are appropriateness of methodology, clarity in the study's execution, and rigor in the application of methods. It's important to note that any contribution should explicitly contribute to theory. The journal actively encourages the use of mixed methods where appropriate and valuable for generating research insights.