A capacitated lot-sizing problem in the industrial fashion sector under uncertainty: a conditional value-at-risk framework-Reference-Cited by-同舟云学术

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A capacitated lot-sizing problem in the industrial fashion sector under uncertainty: a conditional value-at-risk framework

Published:2022-11-30 Issue: Volume: Page:1-17
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Cardona-Valdés Yajaira¹,Nucamendi-Guillén Samuel²,Ricardez-Sandoval Luis³

Affiliation:

1. Centro de Investigación en Matemáticas Aplicadas, Universidad Autónoma de Coahuila, Saltillo, México

2. Universidad Panamericana, Facultad de Ingeniería, Zapopan, Jalisco, México

3. Department of Chemical Engineering, University of Waterloo, Waterloo, Canada

Funder

Universidad Panamericana through the grant ‘Fomento a la Investigación de la Universidad Panamericana’

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2147232

Reference38 articles.

1. Estimating negative binomial demand for retail inventory management with unobservable lost sales

2. Convexity and decomposition of mean-risk stochastic programs

3. Supplier selection and order lot sizing modeling: A review

4. A computational study of the general lot-sizing and scheduling model under demand uncertainty via robust and stochastic approaches

5. A practical assessment of risk-averse approaches in production lot-sizing problems

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1. Sustainability inventory management model with warm-up process and shortage;Operations Research Perspectives;2024-06

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