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3D Printing and Product Assortment Strategy

Author

Listed:
  • Lingxiu Dong

    (Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130)

  • Duo Shi

    (School of Management and Economics, The Chinese University of Hong Kong, Shenzhen, Shenzhen, Guangdong 518172, China; Shenzhen Finance Institute, Shenzhen, Guangdong 518000, China)

  • Fuqiang Zhang

    (Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130)

Abstract

3D printing, as a production technology, differs from conventional technologies in three characteristics: design freedom—that is, it can handle certain product designs that conventional technologies cannot; quality distinction—that is, depending on the focal quality dimension, it can lead to a quality level superior or inferior to that of conventional technologies; and natural flexibility—that is, it is endowed with capacity flexibility without sacrificing operational efficiency. This paper investigates the joint impact of these characteristics when a firm selects conceptual designs to form its product assortment, taking into account the production-technology choices available for each design: 3D printing and two conventional technologies (dedicated and traditional flexible). Some designs can be processed by using any technology (generic), whereas others are specific to 3D printing (3D-specific). The firm selects designs to be handled by each technology and then invests accordingly in technology adoption, product development, capacity, and production. We characterize the structure of the optimal assortment based on the popularity of each design. Within the sets of generic designs and 3D-specific designs, respectively, the most popular designs should be included in the assortment; under a mild condition, the optimal assortment comprises the most popular ones among all the designs. Within the optimal assortment, 3D printing should handle the less popular generic designs than conventional technologies. We further demonstrate that the design freedom or improved quality associated with 3D printing may reduce the firm’s optimal product variety. In the absence of design freedom and quality distinction, natural flexibility by itself always enhances product variety; by contrast, traditional flexible technology may reduce product variety. Numerical study shows that 3D printing tends to be more valuable when popularities of the generic designs are distributed more evenly and when popularities of the 3D-specific designs are distributed less evenly.

Suggested Citation

  • Lingxiu Dong & Duo Shi & Fuqiang Zhang, 2022. "3D Printing and Product Assortment Strategy," Management Science, INFORMS, vol. 68(8), pages 5724-5744, August.
    • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:8:p:5724-5744
    DOI: 10.1287/mnsc.2021.4178
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    as
    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. Ruxian Wang, 2018. "When Prospect Theory Meets Consumer Choice Models: Assortment and Pricing Management with Reference Prices," Manufacturing & Service Operations Management, INFORMS, vol. 20(3), pages 583-600, July.
    3. Onur Boyabatlı & L. Beril Toktay, 2011. "Stochastic Capacity Investment and Flexible vs. Dedicated Technology Choice in Imperfect Capital Markets," Management Science, INFORMS, vol. 57(12), pages 2163-2179, December.
    4. Mabel C. Chou & Geoffrey A. Chua & Chung-Piaw Teo & Huan Zheng, 2011. "Process Flexibility Revisited: The Graph Expander and Its Applications," Operations Research, INFORMS, vol. 59(5), pages 1090-1105, October.
    5. 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.
    6. Achal Bassamboo & Ramandeep S. Randhawa & Jan A. Van Mieghem, 2010. "Optimal Flexibility Configurations in Newsvendor Networks: Going Beyond Chaining and Pairing," Management Science, INFORMS, vol. 56(8), pages 1285-1303, August.
    7. S. Mohammad H. Hojjatzadeh & Niranjan D. Parab & Wentao Yan & Qilin Guo & Lianghua Xiong & Cang Zhao & Minglei Qu & Luis I. Escano & Xianghui Xiao & Kamel Fezzaa & Wes Everhart & Tao Sun & Lianyi Chen, 2019. "Pore elimination mechanisms during 3D printing of metals," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    8. Kalyan Talluri & Garrett van Ryzin, 2004. "Revenue Management Under a General Discrete Choice Model of Consumer Behavior," Management Science, INFORMS, vol. 50(1), pages 15-33, January.
    9. Ying-Ju Chen & Brian Tomlin & Yimin Wang, 2017. "Dual Coproduct Technologies: Implications for Process Development and Adoption," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 692-712, October.
    10. Jiri Chod & Nils Rudi, 2005. "Resource Flexibility with Responsive Pricing," Operations Research, INFORMS, vol. 53(3), pages 532-548, June.
    11. Xuan Wang & Jiawei Zhang, 2015. "Process Flexibility: A Distribution-Free Bound on the Performance of k -Chain," Operations Research, INFORMS, vol. 63(3), pages 555-571, June.
    12. Vishal Gaur & Dorothée Honhon, 2006. "Assortment Planning and Inventory Decisions Under a Locational Choice Model," Management Science, INFORMS, vol. 52(10), pages 1528-1543, October.
    13. William C. Jordan & Stephen C. Graves, 1995. "Principles on the Benefits of Manufacturing Process Flexibility," Management Science, INFORMS, vol. 41(4), pages 577-594, April.
    14. 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.
    15. Aydın Alptekinoğlu & John H. Semple, 2016. "The Exponomial Choice Model: A New Alternative for Assortment and Price Optimization," Operations Research, INFORMS, vol. 64(1), pages 79-93, February.
    16. Ruxian Wang & Zizhuo Wang, 2017. "Consumer Choice Models with Endogenous Network Effects," Management Science, INFORMS, vol. 63(11), pages 3944-3960, November.
    17. Serguei Netessine & Terry A. Taylor, 2007. "Product Line Design and Production Technology," Marketing Science, INFORMS, vol. 26(1), pages 101-117, 01-02.
    18. 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.
    19. Jiri Chod & David Pyke & Nils Rudi, 2010. "The Value of Flexibility in Make-to-Order Systems: The Effect of Demand Correlation," Operations Research, INFORMS, vol. 58(4-part-1), pages 834-848, August.
    20. Garrett van Ryzin & Siddharth Mahajan, 1999. "On the Relationship Between Inventory Costs and Variety Benefits in Retail Assortments," Management Science, INFORMS, vol. 45(11), pages 1496-1509, November.
    21. A. Gürhan Kök & Yi Xu, 2011. "Optimal and Competitive Assortments with Endogenous Pricing Under Hierarchical Consumer Choice Models," Management Science, INFORMS, vol. 57(9), pages 1546-1563, February.
    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. Wallace J. Hopp & Xiaowei Xu, 2005. "Product Line Selection and Pricing with Modularity in Design," Manufacturing & Service Operations Management, INFORMS, vol. 7(3), pages 172-187, August.
    24. Ying-Ju Chen & Brian Tomlin & Yimin Wang, 2013. "Coproduct Technologies: Product Line Design and Process Innovation," Management Science, INFORMS, vol. 59(12), pages 2772-2789, December.
    25. Mabel C. Chou & Geoffrey A. Chua & Chung-Piaw Teo & Huan Zheng, 2010. "Design for Process Flexibility: Efficiency of the Long Chain and Sparse Structure," Operations Research, INFORMS, vol. 58(1), pages 43-58, February.
    26. S. Mohammad H. Hojjatzadeh & Niranjan D. Parab & Wentao Yan & Qilin Guo & Lianghua Xiong & Cang Zhao & Minglei Qu & Luis I. Escano & Xianghui Xiao & Kamel Fezzaa & Wes Everhart & Tao Sun & Lianyi Chen, 2019. "Publisher Correction: Pore elimination mechanisms during 3D printing of metals," Nature Communications, Nature, vol. 10(1), pages 1-1, December.
    27. Jan A. Van Mieghem, 1998. "Investment Strategies for Flexible Resources," Management Science, INFORMS, vol. 44(8), pages 1071-1078, August.
    28. David Simchi-Levi & Yehua Wei, 2015. "Worst-Case Analysis of Process Flexibility Designs," Operations Research, INFORMS, vol. 63(1), pages 166-185, February.
    29. Shlomo Yitzhaki, 1979. "Relative Deprivation and the Gini Coefficient," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 93(2), pages 321-324.
    30. Jan A. Van Mieghem & Nils Rudi, 2002. "Newsvendor Networks: Inventory Management and Capacity Investment with Discretionary Activities," Manufacturing & Service Operations Management, INFORMS, vol. 4(4), pages 313-335, August.
    31. Minh-Son Pham & Chen Liu & Iain Todd & Jedsada Lertthanasarn, 2019. "Damage-tolerant architected materials inspired by crystal microstructure," Nature, Nature, vol. 565(7739), pages 305-311, January.
    32. Gérard P. Cachon & Christian Terwiesch & Yi Xu, 2005. "Retail Assortment Planning in the Presence of Consumer Search," Manufacturing & Service Operations Management, INFORMS, vol. 7(4), pages 330-346, August.
    33. Wojciech Kopczuk & Emmanuel Saez & Jae Song, 2010. "Earnings Inequality and Mobility in the United States: Evidence from Social Security Data Since 1937," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 91-128.
    34. Minh-Son Pham & Chen Liu & Iain Todd & Jedsada Lertthanasarn, 2019. "Publisher Correction: Damage-tolerant architected materials inspired by crystal microstructure," Nature, Nature, vol. 567(7748), pages 14-14, March.
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