Controlling risk and demand ambiguity in newsvendor models

DOI10.1016/j.ejor.2019.06.036zbMath1430.90031OpenAlexW2950270320WikidataQ127637944 ScholiaQ127637944MaRDI QIDQ2315639

Güzin Bayraksan, Hamed Rahimian, Tito Homem-de-mello

Publication date: 25 July 2019

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2019.06.036

zbMATH Keywords

inventorynewsvendor problemdistributionally robust optimizationcalibration of level of robustnessoperating room time reservation problem

Mathematics Subject Classification ID

Minimax problems in mathematical programming (90C47) Stochastic programming (90C15) Inventory, storage, reservoirs (90B05) Robustness in mathematical programming (90C17)

Related Items

Frameworks and results in distributionally robust optimization ⋮ Effective Scenarios in Multistage Distributionally Robust Optimization with a Focus on Total Variation Distance ⋮ A multistage distributionally robust optimization approach to water allocation under climate uncertainty ⋮ Worst-case moments under partial ambiguity ⋮ Cold chain transportation decision in the vaccine supply chain ⋮ Competitive difference analysis of the cash management problem with uncertain demands ⋮ Distributionally Robust Stochastic Dual Dynamic Programming

Cites Work

• Unnamed Item
• Scheduling operating rooms: achievements, challenges and pitfalls
• Distributionally robust multi-item newsvendor problems with multimodal demand distributions
• Robust optimization for the loss-averse newsvendor problem
• The newsvendor problem: review and directions for future research
• Newsvendor solutions via conditional value-at-risk minimization
• Coherent risk measures in inventory problems
• A risk-averse newsvendor with law invariant coherent measures of risk
• Identifying effective scenarios in distributionally robust stochastic programs with total variation distance
• Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations
• Robust sample average approximation
• Likelihood robust optimization for data-driven problems
• Risk neutral and risk averse stochastic dual dynamic programming method
• On distributionally robust multiperiod stochastic optimization
• The risk-averse newsvendor problem with random capacity
• Coherent Measures of Risk
• Decomposition Algorithms for Risk-Averse Multistage Stochastic Programs with Application to Water Allocation under Uncertainty
• Technical Note—A Risk- and Ambiguity-Averse Extension of the Max-Min Newsvendor Order Formula
• A Multiproduct Risk-Averse Newsvendor with Law-Invariant Coherent Measures of Risk
• Technical Note—A Risk-Averse Newsvendor Model Under the CVaR Criterion
• Risk Mitigation in Newsvendor Networks: Resource Diversification, Flexibility, Sharing, and Hedging
• Regret in the Newsvendor Model with Partial Information
• Supply Chain Coordination and Influenza Vaccination
• The Distribution Free Newsboy Problem: Review and Extensions
• Essential supremum and supremum of summable functions
• Risk-Averse Two-Stage Stochastic Program with Distributional Ambiguity
• Goal-Driven Optimization
• Quantifying Distributional Model Risk via Optimal Transport
• Robust Optimization of Sums of Piecewise Linear Functions with Application to Inventory Problems
• On the complexity of a class of combinatorial optimization problems with uncertainty