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An overview on the use of operations research in additive manufacturing

Author

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  • 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
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    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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).
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. Arbabian, Mohammad E., 2022. "Supply Chain Coordination via Additive Manufacturing," International Journal of Production Economics, Elsevier, vol. 243(C).
    26. 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.
    27. 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.
    28. 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.
    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.
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    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.

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