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How will the diffusion of additive manufacturing impact the raw material supply chain process?

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  • Maximilian Kunovjanek
  • Gerald Reiner

Abstract

This study investigates the potential of additive manufacturing (i.e. 3D printing) to alter established manufacturing and supply 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 models using an additive approach by adding layer after layer. As additive manufacturing is inherently less wasteful and only applies raw material where needed, it constitutes a chance to reduce materials usage and related inventories. Even though the technology has faced considerable hype, its adoption still does not match the high expectations. The aim of this study is to overcome limitations of state-of-the-art impact assessments by integrating the potential reduction of materials inventories through the adoption of additive manufacturing in manufacturing and to point out possible implications for supply chain processes. For this purpose, a dynamic evaluation model was developed analysing the adoption of additive manufacturing 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 the diffusion rate is likely to be affected by the utility of the technology.

Suggested Citation

  • Maximilian Kunovjanek & Gerald Reiner, 2020. "How will the diffusion of additive manufacturing impact the raw material supply chain process?," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1540-1554, March.
  • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:5:p:1540-1554
    DOI: 10.1080/00207543.2019.1661537
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    Cited by:

    1. Mohammed Balubaid & Naif Alsaadi, 2023. "Achieving Sustainability in Manufacturing through Additive Manufacturing: An Analysis of Its Enablers," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    2. Harshad Sonar & Vivek Khanzode & Milind Akarte, 2022. "Additive Manufacturing Enabled Supply Chain Management: A Review and Research Directions," Vision, , vol. 26(2), pages 147-162, June.
    3. Shivam Gupta & Sachin Modgil & Piera Centobelli & Roberto Cerchione & Serena Strazzullo, 2022. "Additive Manufacturing and Green Information Systems as Technological Capabilities for Firm Performance," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 515-534, December.
    4. Naghshineh, Bardia & Carvalho, Helena, 2022. "The implications of additive manufacturing technology adoption for supply chain resilience: A systematic search and review," International Journal of Production Economics, Elsevier, vol. 247(C).
    5. Li, Wei & Sun, Hui & Tong, Meng & Mustafee, Navonil & Koh, Lenny, 2024. "Customizing customization in a 3D printing-enabled hybrid manufacturing supply chain," International Journal of Production Economics, Elsevier, vol. 268(C).
    6. Culot, Giovanna & Orzes, Guido & Sartor, Marco & Nassimbeni, Guido, 2020. "The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    7. Ina Marie Raible & Christina Holweg & Gerald Reiner & Christoph Teller, 2024. "Returnable packaging systems and store operations: Processes, costs, and benefits," Journal of Industrial Ecology, Yale University, vol. 28(3), pages 439-454, June.
    8. Radu Godina & Inês Ribeiro & Florinda Matos & Bruna T. Ferreira & Helena Carvalho & Paulo Peças, 2020. "Impact Assessment of Additive Manufacturing on Sustainable Business Models in Industry 4.0 Context," Sustainability, MDPI, vol. 12(17), pages 1-21, August.
    9. Jose M. Framinan & Paz Perez-Gonzalez & Victor Fernandez-Viagas, 2023. "An overview on the use of operations research in additive manufacturing," Annals of Operations Research, Springer, vol. 322(1), pages 5-40, March.

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