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Exploring the effects of additive manufacturing technology adoption on the state of the supply chain
Publication . Naghshineh, Bardia; Carvalho, Helena; DEMI - Departamento de Engenharia Mecânica e Industrial; UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial; Springer New York
As a digital technology, the adoption of additive manufacturing (AM), otherwise known as 3D printing, affects the state of the supply chain, consequently affecting supply chain resilience. To investigate the subject matter from the industry’s viewpoint, an exploratory survey was conducted to collect quantitative and qualitative empirical data from a heterogeneous sample of experts in various companies with hands-on experience in AM technology adoption. The quantitative data analysis indicates that adopting AM technology affects the supply chain’s state to a moderate extent overall, which in turn is likely to moderately affect supply chain resilience. The qualitative data analysis elucidates how different adoption features of AM technology affect the supply chain’s state and identifies the barriers inhibiting these effects. Generic propositions are put forward to reflect the theoretical implications of the study. Moreover, an empirical framework is conceived that outlines the managerial implications of the study. This framework can be used by practitioners and academics seeking to understand to what extent and how AM adoption affects the supply chain’s state, a fundamental prerequisite for assessing the supply chain resilience outcomes of adopting this digital technology.
Towards a practice-based framework for supply chain resilience in the context of additive manufacturing technology adoption
Publication . Naghshineh, Bardia; Carvalho, Helena; DEMI - Departamento de Engenharia Mecânica e Industrial; UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial; TAYLOR & FRANCIS LTD
Additive manufacturing (AM), also known as 3D printing, is widely believed to enhance supply chain resilience (SCR). However, there is a lack of empirical frameworks to provide directions for practitioners and scholars in this regard. Motivated by the dynamic capabilities view, this exploratory survey research aims to overcome this gap. To this end, empirical data are collected from a heterogeneous sample of experts involved in different industries at the forefront of AM. These data are used to explore pathways through which AM adoption leads to enhancing SCR via different resilience practices. More specifically, the collected data are analyzed to explain how AM adoption affects different resilience practices and how these practices in turn affect SCR. Based on these findings, a preliminary practice-based framework is developed that can support practitioners in deploying AM-enabled resilience practices aimed at generating the supply chain (SC) capabilities necessary for dealing with SC vulnerabilities and therefore enhancing SCR. Moreover, relevant propositions are put forward that reflect these findings and open up avenues for future research.
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Fundação para a Ciência e a Tecnologia
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OE
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PRT/BD/152828/2021