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Optimal advertising/ordering policy and finance mode selection for a capital-constrained retailer with stochastic demand

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  • Yong-Wu Zhou

    (South China University of Technology)

  • Bin Cao

    (South China University of Technology)

  • Yuanguang Zhong

    (South China University of Technology)

  • Yongzhong Wu

    (South China University of Technology)

Abstract

In this paper, we discuss how a capital-constrained retailer determines his optimal advertising/ordering policy and selects his financing mode when he faces the following modes: no financing service, bank financing, and supplier/mixed financing. For each mode, we construct an optimization model and present a method for how the retailer determines his corresponding optimal advertising and ordering policies in the terms of his initial capital level. Furthermore, we derive the conditions of retailer selecting the optimal financing mode based on both his initial capital level and the interest rates of the financing services. We show that when the retailer is relatively “poor,” he prefers bank financing mode if the bank interest rate is lower than the supplier, otherwise mixed financing mode; when he is moderately “rich,” he only selects supplier financing mode if the bank interest rate is greater than a threshold value and otherwise bank financing mode; however, when he is relatively “rich,” he always chooses bank financing mode even if the bank interest rate is higher than the supplier. We conduct numerical studies to illustrate the theoretical results and find adopting financing service significantly improves the retailer’s performance especially when he has relatively low initial capital level.

Suggested Citation

  • Yong-Wu Zhou & Bin Cao & Yuanguang Zhong & Yongzhong Wu, 2017. "Optimal advertising/ordering policy and finance mode selection for a capital-constrained retailer with stochastic demand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(12), pages 1620-1632, December.
  • Handle: RePEc:pal:jorsoc:v:68:y:2017:i:12:d:10.1057_s41274-016-0161-8
    DOI: 10.1057/s41274-016-0161-8
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    2. Daniel Arturo Olivares Vera & Elias Olivares-Benitez & Eleazar Puente Rivera & Mónica López-Campos & Pablo A. Miranda, 2018. "Combined Use of Mathematical Optimization and Design of Experiments for the Maximization of Profit in a Four-Echelon Supply Chain," Complexity, Hindawi, vol. 2018, pages 1-25, April.
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    5. Mehmet Güray Güler, 2022. "An analysis on the marketing budget of a newsvendor," Operational Research, Springer, vol. 22(3), pages 2587-2603, July.
    6. Negar Jalilian & Seyed Mahmoud Zanjirchi & Alireza Naser Sadrabadi & Ahmadreza Asgharpourmasouleh & Mark Goh, 2021. "Agent-Based Approach to Configure Processes in Iran’s Banking Service Supply Chain," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    7. Qin, Juanjuan & Fu, Huiping & Wang, Ziping & Xia, Liangjie, 2021. "Financing and carbon emission reduction strategies of capital-constrained manufacturers in E-commerce supply chains," International Journal of Production Economics, Elsevier, vol. 241(C).
    8. Zheng, Yanyan & Zhao, Yingxue & Wang, Nengmin & Meng, Xiaoge & Yang, Honglin, 2022. "Financing decision for a remanufacturing supply chain with a capital constrained retailer: A study from the perspective of market uncertainty," International Journal of Production Economics, Elsevier, vol. 245(C).
    9. Bo Yan & Kun Luo & Li‐Feng Liu & Yan‐Ru Chen & Yi‐Fan Yang, 2020. "Supply chain finance: A three‐party decision model with suppliers' guarantees for retailers," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(7), pages 1174-1194, October.
    10. Yongming Zhang & Weida Chen, 2022. "Optimal production and financing portfolio strategies for a third‐party remanufacturing supply chain with capital constraint," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 3072-3094, October.
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