Quotation Kunovjanek, Maximilian, Reiner, Gerald. 2020. How will the diffusion of additive manufacturing impact the raw material supply chain process? International Journal of Production Research. 58 (5), 1540-1554.




This study investigates the potential of additive manufacturing (i.e. 3D printing) to alter established manufacturing and sup-ply chain processes, complementing previous research work that deals with additive manufacturing and rapid prototyping.Additive manufacturing is a manufacturing technique, which allows the direct fabrication of three-dimensional design mod-els using an additive approach by adding layer after layer. As additive manufacturing is inherently less wasteful and onlyapplies raw material where needed, it constitutes a chance to reduce materials usage and related inventories. Even thoughthe technology has faced considerable hype, its adoption still does not match the high expectations. The aim of this study isto overcome limitations of state-of-the-art impact assessments by integrating the potential reduction of materials inventoriesthrough the adoption of additive manufacturing in manufacturing and to point out possible implications for supply chainprocesses. For this purpose, a dynamic evaluation model was developed analysing the adoption of additive manufactur-ing by integrating the Bass Diffusion Model to provide interesting and novel results for both practitioners and researchers.The study shows that additive manufacturing can indeed reduce raw materials inventory by approximately 4% and that thediffusion rate is likely to be affected by the utility of the technology.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal International Journal of Production Research
Citation Index SCI
WU Journalrating 2009 A
WU-Journal-Rating new FIN-A, INF-A, STRAT-B, WH-B
Language English
Title How will the diffusion of additive manufacturing impact the raw material supply chain process?
Volume 58
Number 5
Year 2020
Page from 1540
Page to 1554
Reviewed? Y
URL https://doi.org/10.1080/00207543.2019.1661537
DOI http://dx.doi.org/10.1080/00207543.2019.1661537
Open Access N


Reiner, Gerald (Details)
Kunovjanek, Maximilian (Alpen-Adria-Universität Klagenfurt, Austria)
Institute for Production Management (Reiner) (Details)
Institute for Production Management IN (Details)
Research Institute for Supply Chain Management FI (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1133 Computer-aided simulation (Details)
5307 Business and management economics (Details)
5316 Industrial management (Details)
5326 Production research (Details)
5354 Business logistics (Details)
5365 Quality management (Details)
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