IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v66y2020i9p3860-3878.html
   My bibliography  Save this article

Stock or Print? Impact of 3-D Printing on Spare Parts Logistics

Author

Listed:
  • Jing-Sheng Song

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708)

  • Yue Zhang

    (Smeal College of Business, Pennsylvania State University, University Park, Pennsylvania 16802)

Abstract

We present a general framework to study the design of spare parts logistics in the presence of three-dimensional (3-D) printing technology. We consider multiple parts facing stochastic demands and adopt procure/manufacture-to-stock versus print-on-demand to highlight the main difference of production modes featured in traditional manufacturing and 3-D printing. To minimize long-run average system cost, our model determines which parts to stock and which to print. We find that the optimal 3-D printer’s utilization increases as the additional unit cost of printing declines and the printing speed improves. The rate of increase, however, decays, demonstrating the well-known diminishing returns effect. We also find the optimal utilization to increase in part variety and decrease in part criticality, suggesting the value of 3-D technology in tolerating large part variety and the value of inventory for critical parts. By examining the percentage cost savings enabled by 3-D printing, we find that, although the reduction in printing cost continuously adds to the value of 3-D printing in a linear fashion, the impact of the improvement of printing speed exhibits S-shaped growth. We also derive various structural properties of the problem and devise an efficient algorithm to obtain near optimal solutions. Finally, our numerical study shows that the 3-D printer is, in general, lightly used under realistic parameter settings but results in significant cost savings, suggesting complementarity between stock and print in cost minimization.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ormnsc:v:66:y:2020:i:9:p:3860-3878
    DOI: 10.287/mnsc.2019.3409
    as

    Download full text from publisher

    File URL: https://doi.org/10.287/mnsc.2019.3409
    Download Restriction: no

    File URL: https://libkey.io/10.287/mnsc.2019.3409?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
    ---><---

    References listed on IDEAS

    as
    1. Francis De Vericourt & Fikri Karaesmen & Yves Dallery, 2000. "Dynamic Scheduling in a Make-to-Stock System: A Partial Characterization of Optimal Policies," Operations Research, INFORMS, vol. 48(5), pages 811-819, October.
    2. Sang-Hyun Kim & Morris A. Cohen & Serguei Netessine & Senthil Veeraraghavan, 2010. "Contracting for Infrequent Restoration and Recovery of Mission-Critical Systems," Management Science, INFORMS, vol. 56(9), pages 1551-1567, September.
    3. Jing-Sheng Song & Li Xiao & Hanqin Zhang & Paul Zipkin, 2017. "Optimal Policies for a Dual-Sourcing Inventory Problem with Endogenous Stochastic Lead Times," Operations Research, INFORMS, vol. 65(2), pages 379-395, April.
    4. Morris A. Cohen & Paul R. Kleindorfer & Hau L. Lee & David F. Pyke, 1992. "Multi‐item service constrained (s, S) policies for spare parts logistics systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 39(4), pages 561-577, June.
    5. Jing-Sheng Song, 1994. "The Effect of Leadtime Uncertainty in a Simple Stochastic Inventory Model," Management Science, INFORMS, vol. 40(5), pages 603-613, May.
    6. Gad Allon & Jan A. Van Mieghem, 2010. "Global Dual Sourcing: Tailored Base-Surge Allocation to Near- and Offshore Production," Management Science, INFORMS, vol. 56(1), pages 110-124, January.
    7. Ganesh Janakiraman & Sridhar Seshadri & Anshul Sheopuri, 2015. "Analysis of Tailored Base-Surge Policies in Dual Sourcing Inventory Systems," Management Science, INFORMS, vol. 61(7), pages 1547-1561, July.
    8. Arthur F. Veinott, 1965. "The Optimal Inventory Policy for Batch Ordering," Operations Research, INFORMS, vol. 13(3), pages 424-432, June.
    9. Yong-Joo Lee & Paul Zipkin, 1992. "Tandem Queues with Planned Inventories," Operations Research, INFORMS, vol. 40(5), pages 936-947, October.
    10. A. Federgruen & H. Groenevelt, 1988. "M/G/c Queueing Systems with Multiple Customer Classes: Characterization and Control of Achievable Performance Under Nonpreemptive Priority Rules," Management Science, INFORMS, vol. 34(9), pages 1121-1138, September.
    11. Saif Benjaafar & Mohsen ElHafsi & Francis de Véricourt, 2004. "Demand Allocation in Multiple-Product, Multiple-Facility, Make-to-Stock Systems," Management Science, INFORMS, vol. 50(10), pages 1431-1448, October.
    12. Boris Goldengorin & Gerard Sierksma & Gert A. Tijssen & Michael Tso, 1999. "The Data-Correcting Algorithm for the Minimization of Supermodular Functions," Management Science, INFORMS, vol. 45(11), pages 1539-1551, November.
    13. Jing-Sheng Song, 2000. "A Note on Assemble-to-Order Systems with Batch Ordering," Management Science, INFORMS, vol. 46(5), pages 739-743, May.
    14. Haim Mendelson & Ali K. Parlaktürk, 2008. "Product-Line Competition: Customization vs. Proliferation," Management Science, INFORMS, vol. 54(12), pages 2039-2053, December.
    15. Kennedy, W. J. & Wayne Patterson, J. & Fredendall, Lawrence D., 2002. "An overview of recent literature on spare parts inventories," International Journal of Production Economics, Elsevier, vol. 76(2), pages 201-215, March.
    16. Ayd{i}n Alptekinou{g}lu & Charles J. Corbett, 2010. "Leadtime-Variety Tradeoff in Product Differentiation," Manufacturing & Service Operations Management, INFORMS, vol. 12(4), pages 569-582, January.
    17. Albert Y. Ha, 1997. "Optimal Dynamic Scheduling Policy for a Make-To-Stock Production System," Operations Research, INFORMS, vol. 45(1), pages 42-53, February.
    18. Atan, Zümbül & Ahmadi, Taher & Stegehuis, Clara & Kok, Ton de & Adan, Ivo, 2017. "Assemble-to-order systems: A review," European Journal of Operational Research, Elsevier, vol. 261(3), pages 866-879.
    19. Agnes Peña Perez & Paul Zipkin, 1997. "Dynamic Scheduling Rules for a Multiproduct Make-to-Stock Queue," Operations Research, INFORMS, vol. 45(6), pages 919-930, December.
    20. Westerweel, Bram & Basten, Rob J.I. & van Houtum, Geert-Jan, 2018. "Traditional or Additive Manufacturing? Assessing Component Design Options through Lifecycle Cost Analysis," European Journal of Operational Research, Elsevier, vol. 270(2), pages 570-585.
    21. Chen, Li & Cui, Yao & Lee, Hau L., 2017. "Retailing with 3D Printing," Research Papers repec:ecl:stabus:3591, Stanford University, Graduate School of Business.
    22. S. Rajagopalan, 2002. "Make to Order or Make to Stock: Model and Application," Management Science, INFORMS, vol. 48(2), pages 241-256, February.
    23. Serguei Netessine & Terry A. Taylor, 2007. "Product Line Design and Production Technology," Marketing Science, INFORMS, vol. 26(1), pages 101-117, 01-02.
    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. 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.
    2. 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).
    3. 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.
    4. 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.
    5. Ben Oldfrey & Giulia Barbareschi & Priya Morjaria & Tamara Giltsoff & Jessica Massie & Mark Miodownik & Catherine Holloway, 2021. "Could Assistive Technology Provision Models Help Pave the Way for More Environmentally Sustainable Models of Product Design, Manufacture and Service in a Post-COVID World?," Sustainability, MDPI, vol. 13(19), pages 1-18, September.
    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. Bin Hu & Zhankun Sun, 2022. "Managing Self-Replicating Innovative Goods," Management Science, INFORMS, vol. 68(1), pages 399-419, January.
    8. Lingxiu Dong & Duo Shi & Fuqiang Zhang, 2022. "3D Printing and Product Assortment Strategy," Management Science, INFORMS, vol. 68(8), pages 5724-5744, August.
    9. 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.
    10. Pal Singh, Satender & Adhikari, Arnab & Majumdar, Adrija & Bisi, Arnab, 2022. "Does service quality influence operational and financial performance of third party logistics service providers? A mixed multi criteria decision making -text mining-based investigation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    11. Sun, Mingyao & Ng, Chi To & Yang, Liu & Zhang, Tianhua, 2024. "Optimal after-sales service offering strategy: Additive manufacturing, traditional manufacturing, or hybrid?," International Journal of Production Economics, Elsevier, vol. 268(C).

    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 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.
    2. José Niño-Mora, 2006. "Restless Bandit Marginal Productivity Indices, Diminishing Returns, and Optimal Control of Make-to-Order/Make-to-Stock M/G/1 Queues," Mathematics of Operations Research, INFORMS, vol. 31(1), pages 50-84, February.
    3. Dong, Chuanwen & Transchel, Sandra, 2020. "A dual sourcing inventory model for modal split transport: Structural properties and optimal solution," European Journal of Operational Research, Elsevier, vol. 283(3), pages 883-900.
    4. N. Knofius & M. C. Heijden & A. Sleptchenko & W. H. M. Zijm, 2021. "Improving effectiveness of spare parts supply by additive manufacturing as dual sourcing option," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 189-221, March.
    5. Ioannis Ch. Paschalidis & Yong Liu, 2003. "Large Deviations-Based Asymptotics for Inventory Control in Supply Chains," Operations Research, INFORMS, vol. 51(3), pages 437-460, June.
    6. 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.
    7. Bora Kat & Zeynep Avṣar, 2011. "Using aggregate fill rate for dynamic scheduling of multi-class systems," Annals of Operations Research, Springer, vol. 182(1), pages 87-117, January.
    8. 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).
    9. Zhang, Chu & Zheng, Xiaona, 2021. "Customization strategies between online and offline retailers," Omega, Elsevier, vol. 100(C).
    10. Ayd{i}n Alptekinou{g}lu & Charles J. Corbett, 2010. "Leadtime-Variety Tradeoff in Product Differentiation," Manufacturing & Service Operations Management, INFORMS, vol. 12(4), pages 569-582, January.
    11. William Liang & Barış Balcıog̃lu & Robert Svaluto, 2013. "Scheduling policies for a repair shop problem," Annals of Operations Research, Springer, vol. 211(1), pages 273-288, December.
    12. Liu, Liming & Xu, He & Zhu, Stuart X., 2020. "Push verse pull: Inventory-leadtime tradeoff for managing system variability," European Journal of Operational Research, Elsevier, vol. 287(1), pages 119-132.
    13. Jalali, Hamed & Van den Broeke, Maud & Van Nieuwenhuyse, Inneke, 2022. "Platform and product design for markets with quality and feature sensitive customers," International Journal of Production Economics, Elsevier, vol. 244(C).
    14. Lucas Böttcher & Thomas Asikis & Ioannis Fragkos, 2023. "Control of Dual-Sourcing Inventory Systems Using Recurrent Neural Networks," INFORMS Journal on Computing, INFORMS, vol. 35(6), pages 1308-1328, November.
    15. Chen Shaoxiang, 2004. "The Optimality of Hedging Point Policies for Stochastic Two-Product Flexible Manufacturing Systems," Operations Research, INFORMS, vol. 52(2), pages 312-322, April.
    16. H. G. H. Tiemessen & M. Fleischmann & G. J. Houtum, 2017. "Dynamic control in multi-item production/inventory systems," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(1), pages 165-191, January.
    17. Fernando Bernstein & Francis de Véricourt, 2008. "Competition for Procurement Contracts with Service Guarantees," Operations Research, INFORMS, vol. 56(3), pages 562-575, June.
    18. Rezaei Somarin, Aghil & Chen, Songlin & Asian, Sobhan & Wang, David Z.W., 2017. "A heuristic stock allocation rule for repairable service parts," International Journal of Production Economics, Elsevier, vol. 184(C), pages 131-140.
    19. Tookanlou, Parisa Bagheri & Wong, Hartanto, 2020. "Determining the optimal customization levels, lead times, and inventory positioning in vertical product differentiation," International Journal of Production Economics, Elsevier, vol. 221(C).
    20. N Sanajian & H Abouee-Mehrizi & B Balcıog̃lu, 2010. "Scheduling policies in the M/G/1 make-to-stock queue," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(1), pages 115-123, 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:inm:ormnsc:v:66:y:2020:i:9:p:3860-3878. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.