The integrated lot-sizing and cutting stock problem under demand uncertainty-Reference-Cited by-同舟云学术

The integrated lot-sizing and cutting stock problem under demand uncertainty

Published:2022-11-22 Issue: Volume: Page:1-27
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Curcio Eduardo¹^ORCID,de Lima Vinícius L.²^ORCID,Miyazawa Flávio K.²^ORCID,Silva Elsa¹^ORCID,Amorim Pedro¹³^ORCID

Affiliation:

1. INESC TEC, Campus da FEUP, Porto, Portugal

2. Institute of Computing, University of Campinas, Campinas-SP, Brazil

3. Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

Funder

São Paulo Research Foundation FAPESP

CNPq

European Regional Development Fund

Fundação para a Ciância e a Tecnologia

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2136279

Reference43 articles.

1. Agra, A., C. Requejo, and F. Rodrigues. 2018. “Robust Approaches to Inventory Models.” XIX Congresso da Associação Portuguesa de Investigação Operacional, Universidade de Aveiro, Aveiro, September 5-7.

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

3. Production planning in furniture settings via robust optimization

4. Risk-averse two-stage stochastic programs in furniture plants

5. Approximation to Multistage Stochastic Optimization in Multiperiod Batch Plant Scheduling under Demand Uncertainty

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