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Additive manufacturing management: a review and future research agenda

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  • Mojtaba Khorram Niaki
  • Fabio Nonino

Abstract

Based on the phenomenal changes that additive manufacturing (AM) has brought to industries and markets, managerial approaches should be re-examined and developed to take advantage of emerging opportunities. This revolutionary technology is dramatically changing business and innovation models, shrinking supply chains and altering the global economy. For example, 3D printing shifts production locations closer to customers and leads to free-form product design as well as sustainable manufacturing. Several studies have been conducted on AM technology, but the research stream on AM management is still developing, with studies dispersed in journals across different research areas. Our study presents both systematic and quantitative analyses of the literature, including co-citation analysis, factor analysis and multidimensional scaling, to explore the structure of the AM research domains in the scope of management, business and economics. We found eight main research streams: AM technology selection, supply chain, product design and production cost models, environmental aspects, strategic challenges, manufacturing systems, open-source innovation and business models and economics. Finally, based on the results of our in-depth analysis of the literature, we found nine promising future research directions.

Suggested Citation

  • Mojtaba Khorram Niaki & Fabio Nonino, 2017. "Additive manufacturing management: a review and future research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 55(5), pages 1419-1439, March.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:5:p:1419-1439
    DOI: 10.1080/00207543.2016.1229064
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    Citations

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    Cited by:

    1. Munan Li & Alan L. Porter, 2018. "Facilitating the discovery of relevant studies on risk analysis for three-dimensional printing based on an integrated framework," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 277-300, January.
    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. 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).
    4. Cui, Weiwei & Yang, Yiran & Di, Lei, 2023. "Modeling and optimization for static-dynamic routing of a vehicle with additive manufacturing equipment," International Journal of Production Economics, Elsevier, vol. 257(C).
    5. Eren Özceylan & Cihan Çetinkaya & Neslihan Demirel & Ozan Sabırlıoğlu, 2017. "Impacts of Additive Manufacturing on Supply Chain Flow: A Simulation Approach in Healthcare Industry," Logistics, MDPI, vol. 2(1), pages 1-20, December.
    6. Mariani, Marcello & Borghi, Matteo, 2019. "Industry 4.0: A bibliometric review of its managerial intellectual structure and potential evolution in the service industries," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    7. Pournader, Mehrdokht & Ghaderi, Hadi & Hassanzadegan, Amir & Fahimnia, Behnam, 2021. "Artificial intelligence applications in supply chain management," International Journal of Production Economics, Elsevier, vol. 241(C).
    8. Martin Baumers & Luca Beltrametti & Angelo Gasparre & Richard Hague, 2017. "Informing additive manufacturing technology adoption: total cost and the impact of capacity utilisation," International Journal of Production Research, Taylor & Francis Journals, vol. 55(23), pages 6957-6970, December.
    9. Marić, Josip & Opazo-Basáez, Marco & Vlačić, Božidar & Dabić, Marina, 2023. "Innovation management of three-dimensional printing (3DP) technology: Disclosing insights from existing literature and determining future research streams," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    10. Stornelli, Aldo & Ozcan, Sercan & Simms, Christopher, 2021. "Advanced manufacturing technology adoption and innovation: A systematic literature review on barriers, enablers, and innovation types," Research Policy, Elsevier, vol. 50(6).
    11. Büchi, Giacomo & Cugno, Monica & Castagnoli, Rebecca, 2020. "Smart factory performance and Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    12. Munan Li, 2018. "Classifying and ranking topic terms based on a novel approach: role differentiation of author keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 77-100, July.
    13. Robert B. Handfield & James Aitken & Neil Turner & Tillmann Boehme & Cecil Bozarth, 2022. "Assessing Adoption Factors for Additive Manufacturing: Insights from Case Studies," Logistics, MDPI, vol. 6(2), pages 1-22, June.
    14. Tygran Dzhuguryan & Agnieszka Deja, 2021. "Sustainable Waste Management for a City Multifloor Manufacturing Cluster: A Framework for Designing a Smart Supply Chain," Sustainability, MDPI, vol. 13(3), pages 1-25, February.
    15. Sun, Luoyi & Hua, Guowei & Cheng, T.C.E. & Wang, Yixiao, 2020. "How to price 3D-printed products? Pricing strategy for 3D printing platforms," International Journal of Production Economics, Elsevier, vol. 226(C).
    16. Diri Kenger, Zülal & Koç, Çağrı & Özceylan, Eren, 2021. "Integrated disassembly line balancing and routing problem with mobile additive manufacturing," International Journal of Production Economics, Elsevier, vol. 235(C).

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