Data-driven risk-averse newsvendor problems: developing the CVaR criteria and support vector machines-Reference-Cited by-同舟云学术

Data-driven risk-averse newsvendor problems: developing the CVaR criteria and support vector machines

Published:2023-02-22 Issue:4 Volume:62 Page:1221-1238
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Chen Zhen-Yu¹

Affiliation:

1. Department of Information Management and Decision Sciences, School of Business Administration, Northeastern University, Shenyang, People’s Republic of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2023.2179350

Reference52 articles.

1. Risk-averse multi-product selective newsvendor problem with different market entry scenarios under CVaR criterion

2. Multi-product selective newsvendor problem with service level constraints and market selection flexibility

3. The risk-averse newsvendor problem under spectral risk measures: A classification with extensions

4. Dynamic Procurement of New Products with Covariate Information: The Residual Tree Method

5. Machine Learning and Portfolio Optimization

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