A mixed-integer linear programming model for the cutting stock problem in the steel industry

A mixed-integer linear programming (MILP) model is proposed for solving a one dimension cutting stock problem (1D-CSP) in the steel industry. A case study of a metallurgical company is presented and the objective is to minimize waste in the cutting process of steel bars, considering inventory constr...

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Autores:
Morillo-Torres, Daniel
Torres Baena, Mauricio
Escobar, John Wilmer
Romero-Conrado, Alfonso R.
Romero-Conrado, Alfonso R.
Gustavo, Gatica
Tipo de recurso:
Part of book
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/9356
Acceso en línea:
https://hdl.handle.net/11323/9356
https://doi.org/10.1007/978-3-030-86702-7_27
https://repositorio.cuc.edu.co/
Palabra clave:
Cutting stock problem
Mixed-integer linear programming
Steel bars
Industrial application
Rights
openAccess
License
Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)