Mathematical models for the minimization of open stacks problem-Reference-Cited by-同舟云学术

Mathematical models for the minimization of open stacks problem

Published:2021-09-02 Issue: Volume: Page:
ISSN:0969-6016
Container-title:International Transactions in Operational Research
language:en
Short-container-title:Intl. Trans. in Op. Res.

Author:

Martin Mateus¹^ORCID,Yanasse Horacio Hideki¹^ORCID,Pinto Maria José²^ORCID

Affiliation:

1. Instituto de Ciência e Tecnologia Universidade Federal de São Paulo Avenida Cesare Mansueto Giulio Lattes 1201 São José dos Campos São Paulo 12247‐014 Brazil

2. Divisão C4ISR Instituto de Estudos Avançados (IEAv) Trevo Coronel Aviador José Alberto Albano do Amarante 1 São José dos Campos São Paulo 12228‐001 Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Wiley

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/itor.13053

Reference45 articles.

1. A solution procedure for a pattern sequencing problem as part of a one-dimensional cutting stock problem in the steel industry

2. A heuristic for the minimization of open stacks problem

3. Baptiste P. 2005.Simple MIP formulations to minimize the maximum number of open stacks. InB.M.Smith I.P.Gent(eds)Constraint Modelling Challenge 2005 IJCAI 2005 Edinburgh pp.9–13.https://ipg.host.cs.st‐andrews.ac.uk/challenge/.

4. A method for solving the minimization of the maximum number of open stacks problem within a cutting process

5. Setup and Open-Stacks Minimization in One-Dimensional Stock Cutting

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1. Mathematical models for the cutting stock with limited open stacks problem;RAIRO - Operations Research;2023-07

2. Models for two- and three-stage two-dimensional cutting stock problems with a limited number of open stacks;International Journal of Production Research;2022-05-12