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Optimal pricing and inventory policies with reliable and random-yield suppliers: characterization and comparison

Author

Listed:
  • Xiuli Chao

    (University of Michigan)

  • Xiting Gong

    (The Chinese University of Hong Kong)

  • Shaohui Zheng

    (Hong Kong University of Science and Technology)

Abstract

In this paper, we study the joint pricing and inventory replenishment problem for a periodic-review inventory system with random demand and dual suppliers, one of the suppliers is reliable but more expensive, the other supplier is less expensive but is unreliable with random yield. We characterize the firm’s optimal policies that simultaneously determine the optimal ordering and pricing decisions in each period over a finite planning horizon, and investigate the impacts of supply source diversification and supplier reliability on the firm and on its customers. We show that having source diversification or higher reliability of suppliers not only increases the firm’s expected profit, but also results in a lower optimal selling price, thus they benefit both the firm and its customers.

Suggested Citation

  • Xiuli Chao & Xiting Gong & Shaohui Zheng, 2016. "Optimal pricing and inventory policies with reliable and random-yield suppliers: characterization and comparison," Annals of Operations Research, Springer, vol. 241(1), pages 35-51, June.
    • Handle: RePEc:spr:annopr:v:241:y:2016:i:1:d:10.1007_s10479-014-1547-0
    DOI: 10.1007/s10479-014-1547-0
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    References listed on IDEAS

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    3. K. M. Kamna & Prerna Gautam & Chandra K. Jaggi, 0. "Sustainable inventory policy for an imperfect production system with energy usage and volume agility," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-9.
    4. Golmohammadi, Amirmohsen & Hassini, Elkafi, 2019. "Capacity, pricing and production under supply and demand uncertainties with an application in agriculture," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1037-1049.
    5. Svoboda, Josef & Minner, Stefan & Yao, Man, 2021. "Typology and literature review on multiple supplier inventory control models," European Journal of Operational Research, Elsevier, vol. 293(1), pages 1-23.
    6. Rongfang Yan & Dejun Kou & Bin Lu, 2019. "Optimal Order Policies for Dual-Sourcing Supply Chains under Random Supply Disruption," Sustainability, MDPI, vol. 11(3), pages 1-14, January.
    7. Li, Mengmeng & Mizuno, Shinji, 2022. "Dynamic pricing and inventory management of a dual-channel supply chain under different power structures," European Journal of Operational Research, Elsevier, vol. 303(1), pages 273-285.
    8. K. M. Kamna & Prerna Gautam & Chandra K. Jaggi, 2021. "Sustainable inventory policy for an imperfect production system with energy usage and volume agility," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(1), pages 44-52, February.
    9. Jun Wang & Qian Zhang & Pengwen Hou, 2022. "Implications of credit default and yield uncertainty on supply chain’s equilibrium financial strategy," Annals of Operations Research, Springer, vol. 315(1), pages 507-533, August.
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