New Progresses and Main Implications in Additive Manufacturing for Operations and Supply Chain Management

A special issue of Logistics (ISSN 2305-6290).

Deadline for manuscript submissions: 31 July 2026 | Viewed by 1107

Special Issue Editors


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Guest Editor
Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, 42122 Reggio Emilia, Italy
Interests: inventory management; spare parts; supply chain; additive manufacturing; risk assessment
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Via Lambruschini 4B, 20156 Milan, Italy
Interests: supply chain management; spare parts; inventory management; explainable artificial intelligence; additive manufacturing
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia, 41121 Modena, Italy
Interests: multi criteria decision making; inventory management; spare parts; additive manufacturing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Additive manufacturing is an emerging production technology which has the potential to disrupt the characteristics and performance of operations and supply chains. Unlike conventional manufacturing, it offers the possibility to produce items close to the point of use by adding layers of material, thus, allowing complex shapes to be produced with little material waste. Positive impacts of additive on operations and supply chains include (but are not limited to) reducing the dependency on suppliers, minimizing procurement lead times and inventory levels, and enabling remanufacturing, circular economy, and sustainable development. However, implementing additive manufacturing in organizations does not come without challenges due to the continuous advancements of this manufacturing technology. This poses the need to investigate new progresses, trends, and main implications in this field. The current literature has overlooked this research domain. Therefore, this Special Issue is intended for the presentation of new ideas and experimental results in the domain of additive manufacturing for operations and supply chain management, including both theoretical and practical investigations. As an example, we encourage papers addressing the following research questions:

  • How does the adoption of additive manufacturing impact the structure, performance, and resilience of operations and supply chains?
  • How can additive manufacturing support circular economy and sustainable development within operations and supply chains?
  • What barriers and enablers are encountered in industrial applications of additive manufacturing?
  • What guidelines can be developed to facilitate the broader adoption of additive manufacturing?

Related papers:

  • Woldesilassiea, T.L., Lemu, H.G., Gutema, E.M., 2024. Impacts of Adopting Additive Manufacturing Process on Supply Chain: Systematic Literature Review. Logistics 8, 3. https://doi.org/10.3390/logistics8010003
  • Verboeket, V., Krikke, H., Salmi, M., 2024. Implementing Additive Manufacturing in Orthopedic Shoe Supply Chains—Cost and Lead Time Comparison. Logistics 8, 49. https://doi.org/10.3390/logistics8020049
  • Ferraro, S., Baffa, F., Cantini, A., Leoni, L., De Carlo, F., Campatelli, G., 2024. Exploring remanufacturing conveniency: An economic and energetic assessment for a closed-loop supply chain of a mechanical component. Journal of Cleaner Production 458, 142504. https://doi.org/10.1016/j.jclepro.2024.142504
  • Sæterbø, M., Arnarson, H., Yu, H., Solvang, W.D., 2024. Expanding the horizons of metal additive manufacturing: A comprehensive multi-objective optimization model incorporating sustainability for SMEs. Journal of Manufacturing Systems 77, 62–77. https://doi.org/10.1016/j.jmsy.2024.08.026
  • Cardeal, G., Leite, M., Ribeiro, I., 2023. Decision-support model to select spare parts suitable for additive manufacturing, Computers in Industry, Volume 144, 103798, ISSN 0166-3615, https://doi.org/10.1016/j.compind.2022.103798.
  • Debnath, B., Shakur, M.S., Tanjum, F., Rahman, M.A., Adnan, Z.H., 2022. Impact of Additive Manufacturing on the Supply Chain of Aerospace Spare Parts Industry—A Review. Logistics 6, 28. https://doi.org/10.3390/logistics6020028
  • Lolli, F., Coruzzolo, A. M., Peron, M., Sgarbossa, F., 2022. Age-based preventive maintenance with multiple printing options, International Journal of Production Economics, Volume 243, 108339, ISSN 0925-5273, https://doi.org/10.1016/j.ijpe.2021.108339.

Dr. Antonio Maria Coruzzolo
Dr. Alessandra Cantini
Dr. Francesco Lolli
Dr. Filippo De Carlo
Guest Editors

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Keywords

  • additive manufacturing
  • 3D Printing
  • rapid manufacturing
  • remanufacturing
  • operations management, supply chain design
  • supply chain management
  • operations and supply chain resilience

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22 pages, 706 KB  
Article
Sustainability Through Additive Manufacturing Operations: A Comparative Industrial Analysis with a Life Cycle Assessment Case Study of Türkiye
by Saliha Karadayi-Usta
Logistics 2026, 10(1), 7; https://doi.org/10.3390/logistics10010007 (registering DOI) - 26 Dec 2025
Abstract
Background: Additive manufacturing (AM), commonly known as 3D printing, is transforming global production systems with sustainability at its core. The global AM market growth underscores the urgency of evaluating its environmental implications. Methods: This study aims to (1) identify Life Cycle [...] Read more.
Background: Additive manufacturing (AM), commonly known as 3D printing, is transforming global production systems with sustainability at its core. The global AM market growth underscores the urgency of evaluating its environmental implications. Methods: This study aims to (1) identify Life Cycle Assessment (LCA) factors influencing additively manufactured products across aerospace, automotive, medical devices, industrial equipment, energy, construction, and consumer electronics industries; (2) determine the relative importance of these factors using Adaptive Choice-Based Conjoint (ACBC) analysis within a Türkiye case study; and (3) assign sustainability levels for each industry via the PrOPPAGA technique. Since LCA quantifies environmental impacts throughout a product’s life cycle, from raw material extraction to end-of-life, this research assesses the sustainability dimensions of AM operations by examining energy consumption, emissions, and waste generation. Results: The findings provide practical and managerial insights for industry stakeholders seeking to enhance sustainable practices in AM. Conclusions: The study introduces a novel sustainability evaluation framework integrating ACBC and PrOPPAGA methods, offering a significant theoretical contribution to the literature on sustainable manufacturing. Full article
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