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...
- 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)