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Joint dynamic pricing and lot-sizing under competition

Author

Listed:
  • LAMAS Alejandro

    (NEOMA Business School)

  • CHEVALIER Philippe

    (CORE, Université catholique de Louvain)

Abstract

We study the joint dynamic pricing and lot-sizing problem when firms operate in a competitive environ-ment. Bearing in mind that a dynamic pricing strategy is successful when customers understand it, we assume each firm selects prices from a discrete set. T

Suggested Citation

  • LAMAS Alejandro & CHEVALIER Philippe, 2017. "Joint dynamic pricing and lot-sizing under competition," LIDAM Discussion Papers CORE 2017023, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvco:2017023
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    File URL: https://sites.uclouvain.be/core/publications/coredp/coredp2017.html
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    Cited by:

    1. Ma, Junhai & Si, Fengshan & Zhang, Qin & Wang, Zongxian, 2024. "Impact of extended warranty service on product pricing in online direct retailers' competitive market," Energy Economics, Elsevier, vol. 129(C).
    2. Claudio Telha & Margarida Carvalho, 2025. "Integration of Sales and Operations: A Dynamic Mixed-Integer Programming Game," Dynamic Games and Applications, Springer, vol. 15(1), pages 306-328, March.
    3. Gao, Kaiye & Peng, Rui & Qu, Li & Wu, Shaomin, 2020. "Jointly optimizing lot sizing and maintenance policy for a production system with two failure modes," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    4. Qiu, Ruozhen & Sun, Yue & Zhou, Hongcheng & Sun, Minghe, 2023. "Dynamic pricing and quick response of a retailer in the presence of strategic consumers: A distributionally robust optimization approach," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1270-1298.
    5. Li, Mengmeng & Mizuno, Shinji, 2022. "Comparison of dynamic and static pricing strategies in a dual-channel supply chain with inventory control," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    6. Liu, Yezheng & Qian, Yang & Jiang, Yuanchun & Shang, Jennifer, 2020. "Using favorite data to analyze asymmetric competition: Machine learning models," European Journal of Operational Research, Elsevier, vol. 287(2), pages 600-615.

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