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Pricing decision problem for substitutable products based on uncertainty theory

Author

Listed:
  • Hu Huang

    (Tongji University)

  • Hua Ke

    (Tongji University)

Abstract

Increasing studies in marketing and distribution channels have shown that the power of manufacturers and retailers is reversing. In this paper, we consider a pricing decision problem in which two different manufacturers compete to distribute differentiated but substitutable products through a common retailer under different power structures. The manufacturing costs, sales costs and demands are characterized by uncertain variables. Meanwhile, uncertainty theory and game-theory-based modeling approaches are employed to formulate the pricing decision problem with three different power structures under uncertain environment. How to make the optimal pricing decisions on wholesale prices and retailer markups under three possible scenarios is derived. Numerical experiments are also given to examine the effects of power structures on the equilibrium prices and profits in uncertain environment. It is found that if the sales cost is high, consumers can enjoy lower prices when facing a powerful retailer and the super retailer can also make the supply chain more efficient.

Suggested Citation

  • Hu Huang & Hua Ke, 2017. "Pricing decision problem for substitutable products based on uncertainty theory," Journal of Intelligent Manufacturing, Springer, vol. 28(3), pages 503-514, March.
  • Handle: RePEc:spr:joinma:v:28:y:2017:i:3:d:10.1007_s10845-014-0991-7
    DOI: 10.1007/s10845-014-0991-7
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    References listed on IDEAS

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    Cited by:

    1. Hua Ke & Yong Wu & Hu Huang, 2018. "Competitive Pricing and Remanufacturing Problem in an Uncertain Closed-Loop Supply Chain with Risk-Sensitive Retailers," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(01), pages 1-21, February.
    2. Abhijit Barman & Rubi Das & Pijus Kanti De & Shib Sankar Sana, 2021. "Optimal Pricing and Greening Strategy in a Competitive Green Supply Chain: Impact of Government Subsidy and Tax Policy," Sustainability, MDPI, vol. 13(16), pages 1-20, August.
    3. Raghu Nandan Giri & Shyamal Kumar Mondal & Manoranjan Maiti, 2021. "Analysis of strategies for substitutable and complementary products in a two-levels fuzzy supply chain system," Operational Research, Springer, vol. 21(1), pages 485-524, March.
    4. Yande Gong & Mengze Chen & Yuliang Zhuang, 2019. "Decision-Making and Performance Analysis of Closed-Loop Supply Chain under Different Recycling Modes and Channel Power Structures," Sustainability, MDPI, vol. 11(22), pages 1-26, November.
    5. Bo Yan & Xiaoxu Chen & Hongyuan Li & Yixian Sun, 2022. "Managing homogeneous products in two competing supply chains under price and logistics service," Electronic Commerce Research, Springer, vol. 22(3), pages 691-713, September.
    6. Lin Chen & Ting Dong & Jin Peng & Dan Ralescu, 2023. "Uncertainty Analysis and Optimization Modeling with Application to Supply Chain Management: A Systematic Review," Mathematics, MDPI, vol. 11(11), pages 1-45, May.
    7. Raghu Nandan Giri & Shyamal Kumar Mondal & Manoranjan Maiti, 2020. "Bundle pricing strategies for two complementary products with different channel powers," Annals of Operations Research, Springer, vol. 287(2), pages 701-725, April.
    8. Yixin Zhang & Xifu Wang, 2021. "Optimal pricing and sourcing strategies in the presence of supply uncertainty and competition," Journal of Intelligent Manufacturing, Springer, vol. 32(1), pages 61-76, January.
    9. Eksler, Leonid & Aviram, Roei & Elalouf, Amir & Kamble, Aakash, 2018. "An EOQ model for multiple products with varying degrees of substitutability," Economics Discussion Papers 2018-77, Kiel Institute for the World Economy (IfW Kiel).
    10. Yuyan Wang & Zhaoqing Yu & Liang Shen & Yan Ge & Jing Li, 2018. "Different Dominant Models and Fairness Concern of E-Supply Chain," Complexity, Hindawi, vol. 2018, pages 1-13, December.

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