Purpose

Drawing on a dynamic capability view, this study develops a decision support model that determines the most suitable configuration of strategies and challenges to adopt additive manufacturing (AM) to expedite digital transformation and performance improvement of the surgical and medical device (SMD) supply chain.

Design/methodology/approach

To investigate the research objective, a multi-method and multi-study research design was deployed using quality function deployment and fuzzy set qualitative comparative analysis.

Findings

The study finds that only resilience strategies or negation (i.e. minimisation) of challenges are not enough; instead, a configuration of resilience strategies and negation of challenges is highly significant in enhancing performance.

Practical implications

SMD supply chain decision-makers will find the decision support model presented in this study as beneficial to be resilient against various challenges in the digital transformation of service delivery process.

Originality/value

This study builds new knowledge of the adoption of AM technology in the SMD supply chain. The decision support model developed in this study is unique and highly effective for fostering digital transformation and enhancing SMD supply chain performance.

中文翻译：

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供应链数字化转型：澳大利亚医疗器械增材制造实践研究

目的

利用动态能力视图，本研究开发了一个决策支持模型，该模型确定了采用增材制造 (AM) 以加速外科和医疗设备 (SMD) 供应链的数字化转型和性能改进的最合适的战略配置和挑战。

设计/方法/途径

为了调查研究目标，采用质量函数部署和模糊集定性比较分析部署了多方法和多研究研究设计。

发现

研究发现，仅弹性策略或否定（即最小化）挑战是不够的；相反，弹性策略的配置和挑战的否定对于提高性能非常重要。

实际影响

SMD 供应链决策者会发现本研究中提出的决策支持模型有利于抵御服务交付过程数字化转型中的各种挑战。

原创性/价值

本研究建立了在 SMD 供应链中采用 AM 技术的新知识。本研究开发的决策支持模型对于促进数字化转型和提高 SMD 供应链绩效而言是独特且高效的。