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Optimal pricing in mass customization supply chains with risk-averse agents and retail competition

Author

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  • Choi, Tsan-Ming
  • Ma, Cheng
  • Shen, Bin
  • Sun, Qi

Abstract

We analytically investigate the optimal pricing decisions in a mass customization (MC) supply chain with one risk averse manufacturer and two risk averse competing retailers. The manufacturer is the Stackelberg leader, which offers a wholesale pricing contract to the retailers. After receiving the wholesale price, each retailer decides the retail selling price for the MC product simultaneously. We first prove the existence of a unique pricing equilibrium and then derive the optimal prices. After that, we focus our attention on exploring how the degree of risk aversion of each supply chain agent affects the optimal prices as well as consumer welfare, supply chain profitability, and credit deposit under a competitive setting. We find that a more risk averse manufacturer will offer a lower wholesale price, which leads to lower retail selling prices offered to the market. For the retailers, if a retailer is more risk averse, it will make the manufacturer offer a higher wholesale price and it will set a lower retail selling price; however, whether the competing retailer will increase or decrease the retail selling price depends on the level of competition. We examine the impacts brought by the market demand uncertainties as well as the respective demand correlation. We conclude by revealing that in the sufficiently competitive market environment, consumers enjoying MC services are benefited more but the supply chain profitability may decrease more (depending on how risk averse the agents are) when (i) the manufacturer and retailers are more risk averse, (ii) demand uncertainties and the correlation between market demands are higher. We also find that the retailers need to pay more credit deposit if the manufacturer is more risk averse or the demand correlation is higher. Finally, we consider the MC product improvement scheme in the extended model and reveal that it is a Pareto improving optimal measure if the supply chain agents are not too risk averse and the increment in production cost is sufficiently small.

Suggested Citation

  • Choi, Tsan-Ming & Ma, Cheng & Shen, Bin & Sun, Qi, 2019. "Optimal pricing in mass customization supply chains with risk-averse agents and retail competition," Omega, Elsevier, vol. 88(C), pages 150-161.
    • Handle: RePEc:eee:jomega:v:88:y:2019:i:c:p:150-161
    DOI: 10.1016/j.omega.2018.08.004
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    References listed on IDEAS

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    1. Zhang, Min & Zhao, Xiande & Qi, Yinan, 2014. "The effects of organizational flatness, coordination, and product modularity on mass customization capability," International Journal of Production Economics, Elsevier, vol. 158(C), pages 145-155.
    2. Heradio, Ruben & Perez-Morago, Hector & Alférez, Mauricio & Fernandez-Amoros, David & Alférez, Germán H., 2016. "Augmenting measure sensitivity to detect essential, dispensable and highly incompatible features in mass customization," European Journal of Operational Research, Elsevier, vol. 248(3), pages 1066-1077.
    3. Zhang, Jie & Kevin Chiang, Wei–yu & Liang, Liang, 2014. "Strategic pricing with reference effects in a competitive supply chain," Omega, Elsevier, vol. 44(C), pages 126-135.
    4. Burak Kazaz & Scott Webster & Prashant Yadav, 2016. "Interventions for an Artemisinin-based Malaria Medicine Supply Chain," Production and Operations Management, Production and Operations Management Society, vol. 25(9), pages 1576-1600, September.
    5. Zhang, Qinhong & Zhang, Dali & Segerstedt, Anders & Luo, Jianwen, 2018. "Optimal ordering and pricing decisions for a company issuing product-specific gift cards," Omega, Elsevier, vol. 74(C), pages 92-102.
    6. Lau, Hon-Shiang & Lau, Amy Hing-Ling, 1999. "Manufacturer's pricing strategy and return policy for a single-period commodity," European Journal of Operational Research, Elsevier, vol. 116(2), pages 291-304, July.
    7. M. Tekin & S. Özekici, 2015. "Mean-Variance Newsvendor Model with Random Supply and Financial Hedging," IISE Transactions, Taylor & Francis Journals, vol. 47(9), pages 910-928, September.
    8. Desheng Dash Wu & David L. Olson & Luis A. Seco & John Birge, 2011. "Introduction To The Special Issue On "Operational Research And Asia Risk Management"," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 28(01), pages 1-1.
    9. Ayd{i}n Alptekinou{g}lu & Charles J. Corbett, 2008. "Mass Customization vs. Mass Production: Variety and Price Competition," Manufacturing & Service Operations Management, INFORMS, vol. 10(2), pages 204-217, August.
    10. Eren B. Çil & Michael S. Pangburn, 2017. "Mass Customization and Guardrails: “You Can Not Be All Things to All People”," Production and Operations Management, Production and Operations Management Society, vol. 26(9), pages 1728-1745, September.
    11. Choi, Tsan-Ming & Li, Duan & Yan, Houmin & Chiu, Chun-Hung, 2008. "Channel coordination in supply chains with agents having mean-variance objectives," Omega, Elsevier, vol. 36(4), pages 565-576, August.
    12. Konur, Dinçer & Geunes, Joseph, 2016. "Supplier wholesale pricing for a retail chain: Implications of centralized vs. decentralized retailing and procurement under quantity competition," Omega, Elsevier, vol. 65(C), pages 98-110.
    13. Selladurai, R. S., 2004. "Mass customization in operations management: oxymoron or reality?," Omega, Elsevier, vol. 32(4), pages 295-300, August.
    14. Xu, Xiaoping & Zhang, Wei & He, Ping & Xu, Xiaoyan, 2017. "Production and pricing problems in make-to-order supply chain with cap-and-trade regulation," Omega, Elsevier, vol. 66(PB), pages 248-257.
    15. Wu, Desheng Dash & Olson, David L. & Birge, John R., 2011. "Introduction to special issue on "Enterprise risk management in operations"," International Journal of Production Economics, Elsevier, vol. 134(1), pages 1-2, November.
    16. Chun-Hung Chiu & Tsan-Ming Choi, 2016. "Supply chain risk analysis with mean-variance models: a technical review," Annals of Operations Research, Springer, vol. 240(2), pages 489-507, May.
    17. John R. Birge, 2015. "OM Forum—Operations and Finance Interactions," Manufacturing & Service Operations Management, INFORMS, vol. 17(1), pages 4-15, February.
    18. D Wu & D L Olson, 2010. "Enterprise risk management: coping with model risk in a large bank," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(2), pages 179-190, February.
    19. Martin A. Lariviere & Evan L. Porteus, 2001. "Selling to the Newsvendor: An Analysis of Price-Only Contracts," Manufacturing & Service Operations Management, INFORMS, vol. 3(4), pages 293-305, May.
    20. Zhu, Xiaowei & Mukhopadhyay, Samar K. & Yue, Xiaohang, 2011. "Role of forecast effort on supply chain profitability under various information sharing scenarios," International Journal of Production Economics, Elsevier, vol. 129(2), pages 284-291, February.
    21. Womer, K. & Li, H. & Camm, J. & Osterman, C. & Radhakrishnan, R., 2017. "Learning and Bayesian updating in long cycle made-to-order (MTO) production," Omega, Elsevier, vol. 69(C), pages 29-42.
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