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Online economic ordering problem for deteriorating items with limited price information

Author

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  • Wenqiang Dai

    (University of Electronic Science and Technology of China)

  • Meng Zheng

    (University of Electronic Science and Technology of China)

  • Xu Chen

    (University of Electronic Science and Technology of China)

  • Zhuolin Yang

    (University of Electronic Science and Technology of China)

Abstract

Traditional economic ordering model for deteriorating items assume the procurer have full information about the procurement price. In this paper, we study an online economic ordering problem for constant deteriorating rate items with limited price information under relative performance criterion of the competitive ratio (CR). We provide a simply procurement strategy as well as the optimal ordering quantity for each case. This procurement strategy is real-time and doesn’t require any forecast, i.e., upon the arrival of price, the strategy concerning procurement time and quantity only be made based on arriving price and current inventory level, with entirely arbitrary non-stationary and even adversarial price sequence arrivals. A theoretical closed-form CR is also proven to give the performance guarantee. Our numerical experiments demonstrate even better empirical performance than the corresponding proven worst-case bounds.

Suggested Citation

  • Wenqiang Dai & Meng Zheng & Xu Chen & Zhuolin Yang, 0. "Online economic ordering problem for deteriorating items with limited price information," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-23.
    • Handle: RePEc:spr:jcomop:v::y::i::d:10.1007_s10878-020-00603-2
    DOI: 10.1007/s10878-020-00603-2
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    References listed on IDEAS

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    1. Yong Zhang & Hong Lin & Lina Zheng & Xingyu Yang, 2022. "Adaptive online portfolio strategy based on exponential gradient updates," Journal of Combinatorial Optimization, Springer, vol. 43(3), pages 672-696, April.

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