IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v322y2023i1d10.1007_s10479-022-05040-4.html
   My bibliography  Save this article

An overview on the use of operations research in additive manufacturing

Author

Listed:
  • Jose M. Framinan

    (University of Seville)

  • Paz Perez-Gonzalez

    (University of Seville)

  • Victor Fernandez-Viagas

    (University of Seville)

Abstract

Additive Manufacturing (AM) is a disruptive production technology that challenges many well-established, conventional practices in Operations and Supply Chain Management decisions. Consequently, new context-specific decision problems have appeared in this area, while existing decision problems must be adapted or extended to this context. In this overview, these decision problems in AM are highlighted and classified, describing the different decision in an unified manner and citing the underlying OR techniques that have been applied to solve them. The aim of the paper is that, by presenting an overview of the AM-related problems in a systematic, OR- or Decision-Making-centred (rather than technology-centred) manner, the OR community can become more aware of this stream of research and thus be more active and contribute with some high-quality work. Open research challenges, as well as avenues for future research are also discussed.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:annopr:v:322:y:2023:i:1:d:10.1007_s10479-022-05040-4
    DOI: 10.1007/s10479-022-05040-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-022-05040-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10479-022-05040-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yamashiro, Hirochika & Nonaka, Hirofumi, 2021. "Estimation of processing time using machine learning and real factory data for optimization of parallel machine scheduling problem," Operations Research Perspectives, Elsevier, vol. 8(C).
    2. Arbabian, Mohammad E. & Wagner, Michael R., 2020. "The impact of 3D printing on manufacturer–retailer supply chains," European Journal of Operational Research, Elsevier, vol. 285(2), pages 538-552.
    3. Yossi Luzon & Eugene Khmelnitsky, 2019. "Job sizing and sequencing in additive manufacturing to control process deterioration," IISE Transactions, Taylor & Francis Journals, vol. 51(2), pages 181-191, February.
    4. 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.
    5. Bram Westerweel & Rob Basten & Jelmar den Boer & Geert‐Jan van Houtum, 2021. "Printing Spare Parts at Remote Locations: Fulfilling the Promise of Additive Manufacturing," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1615-1632, June.
    6. Lacroix, Rachel & Seifert, Ralf W. & Timonina-Farkas, Anna, 2021. "Benefiting from additive manufacturing for mass customization across the product life cycle," Operations Research Perspectives, Elsevier, vol. 8(C).
    7. Altekin, F. Tevhide & Bukchin, Yossi, 2022. "A multi-objective optimization approach for exploring the cost and makespan trade-off in additive manufacturing," European Journal of Operational Research, Elsevier, vol. 301(1), pages 235-253.
    8. Luiz J.P. Araújo & Ajit Panesar & Ender Özcan & Jason Atkin & Martin Baumers & Ian Ashcroft, 2020. "An experimental analysis of deepest bottom-left-fill packing methods for additive manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(22), pages 6917-6933, November.
    9. Mohammad Taufik & Prashant K. Jain, 2013. "Role of build orientation in layered manufacturing: a review," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 27(1/2/3), pages 47-73.
    10. Egeblad, Jens & Nielsen, Benny K. & Odgaard, Allan, 2007. "Fast neighborhood search for two- and three-dimensional nesting problems," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1249-1266, December.
    11. Luiz J.P. Araújo & Ender Özcan & Jason A.D. Atkin & Martin Baumers, 2019. "Analysis of irregular three-dimensional packing problems in additive manufacturing: a new taxonomy and dataset," International Journal of Production Research, Taylor & Francis Journals, vol. 57(18), pages 5920-5934, September.
    12. Siba Sankar Mahapatra & Biranchi Narayan Panda, 2013. "Benchmarking of rapid prototyping systems using grey relational analysis," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 16(4), pages 460-477.
    13. Arbabian, Mohammad E., 2022. "Supply Chain Coordination via Additive Manufacturing," International Journal of Production Economics, Elsevier, vol. 243(C).
    14. Yuchu Qin & Qunfen Qi & Paul J. Scott & Xiangqian Jiang, 2019. "Determination of optimal build orientation for additive manufacturing using Muirhead mean and prioritised average operators," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 3015-3034, December.
    15. Yu Jin & Harry A. Pierson & Haitao Liao, 2019. "Toolpath allocation and scheduling for concurrent fused filament fabrication with multiple extruders," IISE Transactions, Taylor & Francis Journals, vol. 51(2), pages 192-208, February.
    16. Mellor, Stephen & Hao, Liang & Zhang, David, 2014. "Additive manufacturing: A framework for implementation," International Journal of Production Economics, Elsevier, vol. 149(C), pages 194-201.
    17. Jing-Sheng Song & Yue Zhang, 2020. "Stock or Print? Impact of 3-D Printing on Spare Parts Logistics," Management Science, INFORMS, vol. 66(9), pages 3860-3878, September.
    18. Bogers, Marcel & Hadar, Ronen & Bilberg, Arne, 2016. "Additive manufacturing for consumer-centric business models: Implications for supply chains in consumer goods manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 225-239.
    19. Griffiths, Valeriya & Scanlan, James P. & Eres, Murat H. & Martinez-Sykora, Antonio & Chinchapatnam, Phani, 2019. "Cost-driven build orientation and bin packing of parts in Selective Laser Melting (SLM)," European Journal of Operational Research, Elsevier, vol. 273(1), pages 334-352.
    20. Yao Li & Yang Cheng & Qing Hu & Shenghan Zhou & Lei Ma & Ming K. Lim, 2019. "The influence of additive manufacturing on the configuration of make-to-order spare parts supply chain under heterogeneous demand," International Journal of Production Research, Taylor & Francis Journals, vol. 57(11), pages 3622-3641, June.
    21. 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.
    22. Li Chen & Yao Cui & Hau L. Lee, 2021. "Retailing with 3D Printing," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 1986-2007, July.
    23. Peiyang He & Kunpeng Li & P. N. Ram Kumar, 2022. "An enhanced branch-and-price algorithm for the integrated production and transportation scheduling problem," International Journal of Production Research, Taylor & Francis Journals, vol. 60(6), pages 1874-1889, March.
    24. Yao Li & Guozhu Jia & Yang Cheng & Yuchen Hu, 2017. "Additive manufacturing technology in spare parts supply chain: a comparative study," International Journal of Production Research, Taylor & Francis Journals, vol. 55(5), pages 1498-1515, March.
    25. Yicha Zhang & Alain Bernard & Ramy Harik & K. P. Karunakaran, 2017. "Build orientation optimization for multi-part production in additive manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 28(6), pages 1393-1407, August.
    26. Sheng Yang & Thomas Page & Ying Zhang & Yaoyao Fiona Zhao, 2020. "Towards an automated decision support system for the identification of additive manufacturing part candidates," Journal of Intelligent Manufacturing, Springer, vol. 31(8), pages 1917-1933, December.
    27. Jianming Zhang & Xifan Yao & Yun Li, 2020. "Improved evolutionary algorithm for parallel batch processing machine scheduling in additive manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(8), pages 2263-2282, April.
    28. Hyun-Jung Kim & Jun-Ho Lee, 2021. "Cyclic robot scheduling for 3D printer-based flexible assembly systems," Annals of Operations Research, Springer, vol. 298(1), pages 339-359, March.
    29. Matthias Thürer & Yuan Huang & Mark Stevenson, 2021. "Workload control in additive manufacturing shops where post-processing is a constraint: an assessment by simulation," International Journal of Production Research, Taylor & Francis Journals, vol. 59(14), pages 4268-4286, July.
    30. Yosep Oh & Chi Zhou & Sara Behdad, 2020. "The impact of build orientation policies on the completion time in two-dimensional irregular packing for additive manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(21), pages 6601-6615, November.
    31. A. S. Gogate & S. S. Pande, 2008. "Intelligent layout planning for rapid prototyping," International Journal of Production Research, Taylor & Francis Journals, vol. 46(20), pages 5607-5631, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Victor Verboeket & Harold Krikke & Mika Salmi, 2024. "Implementing Additive Manufacturing in Orthopedic Shoe Supply Chains—Cost and Lead Time Comparison," Logistics, MDPI, vol. 8(2), pages 1-23, May.
    2. Nascimento, Paulo Jorge & Silva, Cristóvão & Antunes, Carlos Henggeler & Moniz, Samuel, 2024. "Optimal decomposition approach for solving large nesting and scheduling problems of additive manufacturing systems," European Journal of Operational Research, Elsevier, vol. 317(1), pages 92-110.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. 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).
    3. 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.
    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. Lingxiu Dong & Duo Shi & Fuqiang Zhang, 2022. "3D Printing and Product Assortment Strategy," Management Science, INFORMS, vol. 68(8), pages 5724-5744, August.
    6. Nie, Jiajia & Xu, Xiaoxuan & Yue, Xiaohang & Guo, Qiang & Zhou, Yu, 2023. "Less is more: A strategic analysis of 3D printing with limited capacity," International Journal of Production Economics, Elsevier, vol. 258(C).
    7. 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).
    8. Altekin, F. Tevhide & Bukchin, Yossi, 2022. "A multi-objective optimization approach for exploring the cost and makespan trade-off in additive manufacturing," European Journal of Operational Research, Elsevier, vol. 301(1), pages 235-253.
    9. Yizhe Yang & Bingshan Liu & Haochen Li & Xin Li & Xiaodong Liu & Gong Wang, 2023. "Automatic selection system of the building orientation based on double-layer priority aggregation multi-attribute decision-making," Journal of Intelligent Manufacturing, Springer, vol. 34(5), pages 2477-2493, June.
    10. Ding, Jin & Baumers, Martin & Clark, Elizabeth A. & Wildman, Ricky D., 2021. "The economics of additive manufacturing: Towards a general cost model including process failure," International Journal of Production Economics, Elsevier, vol. 237(C).
    11. Guo, Shu & Choi, Tsan-Ming & Chung, Sai-Ho, 2022. "Self-design fun: Should 3D printing be employed in mass customization operations?," European Journal of Operational Research, Elsevier, vol. 299(3), pages 883-897.
    12. 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.
    13. Nagarajan Sethuraman & Ali K. Parlaktürk & Jayashankar M. Swaminathan, 2023. "Personal fabrication as an operational strategy: Value of delegating production to customer using 3D printing," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2362-2375, July.
    14. Beltagui, Ahmad & Kunz, Nathan & Gold, Stefan, 2020. "The role of 3D printing and open design on adoption of socially sustainable supply chain innovation," International Journal of Production Economics, Elsevier, vol. 221(C).
    15. 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.
    16. Yizhe Yang & Bingshan Liu & Haochen Li & Xin Li & Gong Wang & Shan Li, 2023. "A nesting optimization method based on digital contour similarity matching for additive manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2825-2847, August.
    17. Matthias M. Meyer & Andreas H. Glas & Michael Eßig, 2021. "Systematic review of sourcing and 3D printing: make-or-buy decisions in industrial buyer–supplier relationships," Management Review Quarterly, Springer, vol. 71(4), pages 723-752, October.
    18. Nazanin Hosseini Arian & Alireza Pooya & Fariborz Rahimnia & Ali Sibevei, 2021. "Assessment the effect of rapid prototyping implementation on supply chain sustainability: a system dynamics approach," Operations Management Research, Springer, vol. 14(3), pages 467-493, December.
    19. Jimo, Ajeseun & Braziotis, Christos & Rogers, Helen & Pawar, Kulwant, 2022. "Additive manufacturing: A framework for supply chain configuration," International Journal of Production Economics, Elsevier, vol. 253(C).
    20. Rachel Lacroix & Anna Timonina-Farkas & Ralf W. Seifert, 2023. "Utilizing additive manufacturing and mass customization under capacity constraints," Journal of Intelligent Manufacturing, Springer, vol. 34(1), pages 281-301, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:322:y:2023:i:1:d:10.1007_s10479-022-05040-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.