Protecting the data-driven newsvendor against rare events: a correction-term approach

DOI10.1007/s10287-016-0258-1zbMath1397.90218OpenAlexW2406419916MaRDI QIDQ1789579

Aurélie Thiele, Gokhan Metan

Publication date: 10 October 2018

Published in: Computational Management Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10287-016-0258-1

zbMATH Keywords

rare eventscorrection factornewsvendor problemdata-driven optimization

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Inventory, storage, reservoirs (90B05)

Cites Work

• A multi-product risk-averse newsvendor with exponential utility function
• A Multiproduct Risk-Averse Newsvendor with Law-Invariant Coherent Measures of Risk
• An Adaptive, Distribution-Free Algorithm for the Newsvendor Problem with Censored Demands, with Applications to Inventory and Distribution
• A Nonparametric Asymptotic Analysis of Inventory Planning with Censored Demand
• An Adaptive Algorithm for Finding the Optimal Base-Stock Policy in Lost Sales Inventory Systems with Censored Demand
• An Adaptive Algorithm for the Optimal Sample Size in the Non-Stationary Data-Driven Newsvendor Problem
• A Dynamic and Data-Driven Approach to the News Vendor Problem Under Cyclical Demand
• Critical Number Policies for Inventory Models with Periodic Data
• The Risk-Averse (and Prudent) Newsboy
• Provably Near-Optimal Sampling-Based Policies for Stochastic Inventory Control Models

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