Using Operational Data Analytics for Planning Decisions Under Uncertainty

References

• Ban GY, Rudin C (2019) The big data newsvendor: Practical insights from machine learning. Oper. Res. 67(1):90–108.Link, Google Scholar
• Besbes O, Mouchtaki O (2023) How big should your data really be? Data-driven newsvendor: Learning one sample at a time. Management Sci. 69(10):5848–5865.Link, Google Scholar
• Chu LY, Shanthikumar JG, Shen ZJM (2008) Solving operational statistics via a Bayesian analysis. Oper. Res. Lett. 36(1):110–116.Google Scholar
• Elmachtoub AN, Grigas P (2022) Smart “predict, then optimize.” Management Sci. 68(1):9–26.Link, Google Scholar
• Elmachtoub AN, Lam H, Zhang H, Zhao Y (2023) Estimate-then-optimize versus integrated-estimation-optimization versus sample average approximation: A stochastic dominance perspective. Preprint, submitted April 13, https://arxiv.org/abs/2304.06833.Google Scholar
• Feng Q, Shanthikumar JG (2023) The framework of parametric and nonparametric operational data analytics. Production Oper. Management 32(9):2685–2703.Google Scholar
• Fernández-Loría C, Provost F (2022) Causal decision making and causal effect estimation are not the same … and why it matters. INFORMS J. Data Sci. 1(1):4–16.Link, Google Scholar
• Kattilakoski Ruonala K (2021) A cyber-physical system to reduce the queues at amusement parks. Accessed October 6, 2024, https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1582590&dswid=-2562.Google Scholar
• Lechner M (2023) Causal machine learning and its use for public policy. Swiss J. Econom. Statist. 159(1):8.Google Scholar
• Levi R, Perakis G, Uichanco J (2015) The data-driven newsvendor problem: New bounds and insights. Oper. Res. 63(6):1294–1306.Link, Google Scholar
• Liyanage LH, Shanthikumar JG (2005) A practical inventory control policy using operational statistics. Oper. Res. Lett. 33(4):341–348.Google Scholar
• Lu M, Shen ZJM (2021) A review of robust operations management under model uncertainty. Production Oper. Management 30(6):1927–1943.Google Scholar
• Mandi J, Kotary J, Berden S, Mulamba M, Bucarey V, Guns T, Fioretto F (2024) Decision-focused learning: Foundations, state of the art, benchmark and future opportunities. J. Artificial Intelligence Res. 80:1623–1701.Google Scholar
• Romero FC, León SP, Wong L (2023) Approach for personalized recommendations to enhance customer service process in Peruvian restaurants using OpenAI contextual chatbot. 2023 IEEE XXX Internat. Conf. Electronics, Electrical Engrg. Comput. (Institute of Electrical and Electronics Engineers, Piscataway, NJ), 1–8.Google Scholar
• Sadana U, Chenreddy A, Delage E, Forel A, Frejinger E, Vidal T (2025) A survey of contextual optimization methods for decision-making under uncertainty. Eur. J. Oper. Res. 320(2):271–289.Google Scholar
• Shah S, Wilder B, Perrault A, Tambe M (2024) Leaving the nest: Going beyond local loss functions for predict-then-optimize. Proc. 38th AAAI Conf. Artificial Intelligence (AAAI Press, Washington, DC), 14902–14909.Google Scholar
• Shapiro A, Dentcheva D, Ruszczynski A (2021) Lectures on Stochastic Programming: Modeling and Theory (Society for Industrial and Applied Mathematics, Philadelphia).Google Scholar
• Shone R, Glazebrook K, Zografos KG (2021) Applications of stochastic modeling in air traffic management: Methods, challenges and opportunities for solving air traffic problems under uncertainty. Eur. J. Oper. Res. 292(1):1–26.Google Scholar
• Wang K, Shah S, Chen H, Perrault A, Doshi-Velez F, Tambe M (2021) Learning MDPs from features: Predict-then-optimize for sequential decision making by reinforcement learning. Ranzato M, Beygelzimer A, Dauphin Y, Liang PS, Wortman Vaughan J, eds. Advances in Neural Information Processing Systems, vol. 34 (Curran Associates, Red Hook, NY), 8795–8806. Google Scholar
• Zhang L, Yang J, Gao R (2024) Optimal robust policy for feature-based newsvendor. Management Sci. 70(4):2315–2329.Link, Google Scholar