IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v2y2017i1p1-d124747.html
   My bibliography  Save this article

Impacts of Additive Manufacturing on Supply Chain Flow: A Simulation Approach in Healthcare Industry

Author

Listed:
  • Eren Özceylan

    (Department of Industrial Engineering, Gaziantep University, Gaziantep 27300, Turkey)

  • Cihan Çetinkaya

    (Department of Industrial Engineering, Gaziantep University, Gaziantep 27300, Turkey)

  • Neslihan Demirel

    (Department of International Trade and Logistics, Erciyes University, Kayseri 38039, Turkey)

  • Ozan Sabırlıoğlu

    (Dijitalis Software and Consultancy, İstanbul 34742, Turkey)

Abstract

Additive manufacturing (AM) can lead to innovative solutions in traditional supply chain networks (TSCN), which contains very complicated and -hard to manage- chains. With 3D printing technology, a design file can transform directly to a product, skipping many traditional manufacturing steps. Thus, this new application can affect all logistics and supply chain activities positively. The research problem of this paper is to search and assess supply chain changes associated with 3D printing technology adoption to identify the potential impact of AM. To do so, two different supply chain networks, which are TSCN and 3D printing supply chain network (3DPSCN) for healthcare industry are considered. A simulation model is developed to evaluate the potential impact of 3D printing improvements on the configuration of orthopedic insole supply chains. The main contribution of this paper is proposing a simulation model for a healthcare company to compare its 3DPSCN structure with its TSCN version. The results show the concrete benefits such as lead-time and number of customers that can be achieved by 3DPSCN compared to TSCN.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlogis:v:2:y:2017:i:1:p:1-:d:124747
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/2/1/1/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2305-6290/2/1/1/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yusuf, Y. Y. & Sarhadi, M. & Gunasekaran, A., 1999. "Agile manufacturing:: The drivers, concepts and attributes," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 33-43, May.
    2. Christian Almeder & Margaretha Preusser & Richard F. Hartl, 2009. "Simulation and optimization of supply chains: alternative or complementary approaches?," Springer Books, in: Herbert Meyr & Hans-Otto Günther (ed.), Supply Chain Planning, pages 29-53, Springer.
    3. Kleijnen, J.P.C., 2005. "Supply chain simulation tools and techniques : A survey," Other publications TiSEM d0050225-57bd-4114-ab15-7, Tilburg University, School of Economics and Management.
    4. Reiner, Gerald & Trcka, Michael, 2004. "Customized supply chain design: Problems and alternatives for a production company in the food industry. A simulation based analysis," International Journal of Production Economics, Elsevier, vol. 89(2), pages 217-229, May.
    5. Christopher Tuck & Richard Hague & Neil Burns, 2007. "Rapid manufacturing: impact on supply chain methodologies and practice," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 3(1), pages 1-22.
    6. Persson, Fredrik & Olhager, Jan, 2002. "Performance simulation of supply chain designs," International Journal of Production Economics, Elsevier, vol. 77(3), pages 231-245, June.
    7. Roba W. Salem & Mohamed Haouari, 2017. "A simulation-optimisation approach for supply chain network design under supply and demand uncertainties," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1845-1861, April.
    8. van der Vorst, Jack G. A. J. & Beulens, Adrie J. M. & van Beek, Paul, 2000. "Modelling and simulating multi-echelon food systems," European Journal of Operational Research, Elsevier, vol. 122(2), pages 354-366, April.
    9. Julien Gardan, 2016. "Additive manufacturing technologies: state of the art and trends," International Journal of Production Research, Taylor & Francis Journals, vol. 54(10), pages 3118-3132, May.
    10. 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.
    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. Hossein Eskandari Sabzi & Pedro E. J. Rivera-Díaz-del-Castillo, 2023. "Sustainable Powder-Based Additive Manufacturing Technology," Sustainability, MDPI, vol. 15(20), pages 1-15, October.
    2. Maram I. Shqair & Safwan A. Altarazi, 2022. "Evaluating the Status of SMEs in Jordan with Respect to Industry 4.0: A Pilot Study," Logistics, MDPI, vol. 6(4), pages 1-20, September.

    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. Roba W. Salem & Mohamed Haouari, 2017. "A simulation-optimisation approach for supply chain network design under supply and demand uncertainties," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1845-1861, April.
    2. Vonderembse, Mark A. & Uppal, Mohit & Huang, Samuel H. & Dismukes, John P., 2006. "Designing supply chains: Towards theory development," International Journal of Production Economics, Elsevier, vol. 100(2), pages 223-238, April.
    3. Jaya Priyadarshini & Rajesh Kr Singh & Ruchi Mishra & Surajit Bag, 2022. "Investigating the interaction of factors for implementing additive manufacturing to build an antifragile supply chain: TISM-MICMAC approach," Operations Management Research, Springer, vol. 15(1), pages 567-588, June.
    4. 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).
    5. 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).
    6. 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.
    7. 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).
    8. 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).
    9. 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.
    10. Taghizadeh, Elham & Venkatachalam, Saravanan & Chinnam, Ratna Babu, 2021. "Impact of deep-tier visibility on effective resilience assessment of supply networks," International Journal of Production Economics, Elsevier, vol. 241(C).
    11. 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.
    12. Sashikala Parimi & Anusha Sreeram, 2018. "Agility in the Factors Effecting the Quality and Safety of Fish Products," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 9(2), pages 01-08, May.
    13. Huang, Shiyang & Hu, Guiping & Chennault, Carrie & Su, Liu & Brandes, Elke & Heaton, Emily & Schulte, Lisa & Wang, Lizhi & Tyndall, John, 2016. "Agent-based modeling of bioenergy crop adoption and farmer decision-making," Energy, Elsevier, vol. 115(P1), pages 1188-1201.
    14. 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.
    15. Romauch, Martin & Hartl, Richard F., 2017. "Capacity planning for cluster tools in the semiconductor industry," International Journal of Production Economics, Elsevier, vol. 194(C), pages 167-180.
    16. Stüve, David & van der Meer, Robert & Lütke Entrup, Matthias & Agha, Mouhamad Shaker Ali, 2020. "Supply chain planning in the food industry," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Lo, volume 29, pages 317-353, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    17. Santanu Mandal & Souvik Roy & G. Amar Raju, 2016. "Tourism supply chain agility: an empirical examination using resource-based view," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 2(2), pages 151-173.
    18. Naim, Mohamed M. & Gosling, Jonathan, 2011. "On leanness, agility and leagile supply chains," International Journal of Production Economics, Elsevier, vol. 131(1), pages 342-354, May.
    19. Vaagen, Hajnalka & Wallace, Stein W., 2008. "Product variety arising from hedging in the fashion supply chains," International Journal of Production Economics, Elsevier, vol. 114(2), pages 431-455, August.
    20. Madhukar Patil & M. Suresh, 2019. "Modelling the Enablers of Workforce Agility in IoT Projects: A TISM Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(2), pages 157-175, June.

    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:gam:jlogis:v:2:y:2017:i:1:p:1-:d:124747. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.