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A data-driven newsvendor problem: From data to decision

Citations

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Cited by:

  1. Tian, Xuecheng & Wang, Shuaian & Laporte, Gilbert & Yang, Ying, 2024. "Determinism versus uncertainty: Examining the worst-case expected performance of data-driven policies," European Journal of Operational Research, Elsevier, vol. 318(1), pages 242-252.
  2. Serrano, Breno & Minner, Stefan & Schiffer, Maximilian & Vidal, Thibaut, 2024. "Bilevel optimization for feature selection in the data-driven newsvendor problem," European Journal of Operational Research, Elsevier, vol. 315(2), pages 703-714.
  3. Felix Wick & Ulrich Kerzel & Martin Hahn & Moritz Wolf & Trapti Singhal & Daniel Stemmer & Jakob Ernst & Michael Feindt, 2021. "Demand Forecasting of Individual Probability Density Functions with Machine Learning," SN Operations Research Forum, Springer, vol. 2(3), pages 1-39, September.
  4. Liu, Congzheng & Letchford, Adam N. & Svetunkov, Ivan, 2022. "Newsvendor problems: An integrated method for estimation and optimisation," European Journal of Operational Research, Elsevier, vol. 300(2), pages 590-601.
  5. van der Haar, Joost F. & Wellens, Arnoud P. & Boute, Robert N. & Basten, Rob J.I., 2024. "Supervised learning for integrated forecasting and inventory control," European Journal of Operational Research, Elsevier, vol. 319(2), pages 573-586.
  6. Thais de Castro Moraes & Jiancheng Qin & Xue-Ming Yuan & Ek Peng Chew, 2023. "Evolving Hybrid Deep Neural Network Models for End-to-End Inventory Ordering Decisions," Logistics, MDPI, vol. 7(4), pages 1-18, November.
  7. Ruozhen Qiu & Yue Yu & Minghe Sun, 2021. "Joint pricing and stocking decisions for a newsvendor problem with loss aversion and reference point effect," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 275-288, March.
  8. Eugenia Babiloni & Ester Guijarro & Juan R. Trapero, 2023. "Stock control analytics: a data-driven approach to compute the fill rate considering undershoots," Operational Research, Springer, vol. 23(1), pages 1-25, March.
  9. Berndt Jesenko & Christian Schlögl, 2021. "The effect of web of science subject categories on clustering: the case of data-driven methods in business and economic sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6785-6801, August.
  10. Corredera, Alberto & Ruiz, Carlos, 2023. "Prescriptive selection of machine learning hyperparameters with applications in power markets: Retailer’s optimal trading," European Journal of Operational Research, Elsevier, vol. 306(1), pages 370-388.
  11. Olivares-Nadal, Alba V., 2024. "Constructing decision rules for multiproduct newsvendors: An integrated estimation-and-optimization framework," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1021-1037.
  12. Wang, Shengjie & Kang, Yanfei & Petropoulos, Fotios, 2024. "Combining probabilistic forecasts of intermittent demand," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1038-1048.
  13. Claire Y. T. Chen & Edward W. Sun & Ming-Feng Chang & Yi-Bing Lin, 2024. "Enhancing travel time prediction with deep learning on chronological and retrospective time order information of big traffic data," Annals of Operations Research, Springer, vol. 343(3), pages 1095-1128, December.
  14. Zhen-Yu Chen & Zhi-Ping Fan & Minghe Sun, 2023. "Machine Learning Methods for Data-Driven Demand Estimation and Assortment Planning Considering Cross-Selling and Substitutions," INFORMS Journal on Computing, INFORMS, vol. 35(1), pages 158-177, January.
  15. Corredera Barbado, Alberto & Ruiz Mora, Carlos, 2022. "Prescriptive selection of machine learning hyperparameters with applications in power markets: retailer's optimal trading," DES - Working Papers. Statistics and Econometrics. WS 33693, Universidad Carlos III de Madrid. Departamento de Estadística.
  16. Erkip, Nesim Kohen, 2023. "Can accessing much data reshape the theory? Inventory theory under the challenge of data-driven systems," European Journal of Operational Research, Elsevier, vol. 308(3), pages 949-959.
  17. Xide Zhu & Kevin W. Li & Peijun Guo, 2023. "A bilevel optimization model for the newsvendor problem with the focus theory of choice," 4OR, Springer, vol. 21(3), pages 471-489, September.
  18. Yang, Cheng-Hu & Wang, Hai-Tang & Ma, Xin & Talluri, Srinivas, 2023. "A data-driven newsvendor problem: A high-dimensional and mixed-frequency method," International Journal of Production Economics, Elsevier, vol. 266(C).
  19. Jakub Horak & Tomas Krulicky & Zuzana Rowland & Veronika Machova, 2020. "Creating a Comprehensive Method for the Evaluation of a Company," Sustainability, MDPI, vol. 12(21), pages 1-23, November.
  20. Bruzda, Joanna, 2020. "Demand forecasting under fill rate constraints—The case of re-order points," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1342-1361.
  21. Sadana, Utsav & Chenreddy, Abhilash & Delage, Erick & Forel, Alexandre & Frejinger, Emma & Vidal, Thibaut, 2025. "A survey of contextual optimization methods for decision-making under uncertainty," European Journal of Operational Research, Elsevier, vol. 320(2), pages 271-289.
  22. Bai, Qingguo & Xu, Jianteng & Gong, Yeming & Chauhan, Satyaveer S., 2022. "Robust decisions for regulated sustainable manufacturing with partial demand information: Mandatory emission capacity versus emission tax," European Journal of Operational Research, Elsevier, vol. 298(3), pages 874-893.
  23. Chen, Yi-Ting & Sun, Edward W. & Chang, Ming-Feng & Lin, Yi-Bing, 2021. "Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0," International Journal of Production Economics, Elsevier, vol. 238(C).
  24. Huber, Jakob & Stuckenschmidt, Heiner, 2021. "Intraday shelf replenishment decision support for perishable goods," International Journal of Production Economics, Elsevier, vol. 231(C).
  25. Saurab Chhachhi & Fei Teng, 2024. "A Joint Energy and Differentially-Private Smart Meter Data Market," Papers 2412.07688, arXiv.org.
  26. Bingnan Yang & Xianhao Xu & Yeming Gong & Yacine Rekik, 2024. "Data-driven optimization models for inventory and financing decisions in online retailing platforms," Annals of Operations Research, Springer, vol. 339(1), pages 741-764, August.
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