TY - JOUR
T1 - Modelo matemático basado en programación lineal y lógica difusa para predicción de tiempos en industrias de ensamble de bicicletas
AU - Rodas, D. P.
AU - Guamán, Rodrigo
AU - Morles, Eliezer Colina
AU - Peña, Mario
AU - Siguenza-Guzmán, Lorena
N1 - Funding Information:
Este trabajo es parte del proyecto ?Modelo de Gesti?n para la Optimizaci?n de Procesos y Costos en la Industria de Ensamblaje?, ganador del XV Concurso Universitario de Proyectos de la Direcci?n de Investigaci?n de la Universidad de Cuenca. Los autores agradecen a los directivos de la empresa caso de estudio, as? como brindan un especial agradecimiento a los miembros del equipo del proyecto.
Publisher Copyright:
© 2019, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.
PY - 2019/4
Y1 - 2019/4
N2 - In the assembly industry, there is a high degree of uncertainty when identifying operational problems, due to limited resources and inefficient production control. Focusing on the assembly of bicycles, this article presents a model that combines linear programming and fuzzy logic to obtain standard times associated with the production lines of bicycles. The tool used for minimizing the objective function was Excel “Solver”, and its formulation involved the identification of variables, restrictions, constant parameters, working conditions and production rates. The times obtained from the linear programming model entered as variables in the fuzzy logic model, to yield standard times estimates. This study allows an identification of the current state of the productive process, obtaining the maximum benefit in operative resources and working conditions. In addition, the model improves decision making through uncertainty control in production planning.
AB - In the assembly industry, there is a high degree of uncertainty when identifying operational problems, due to limited resources and inefficient production control. Focusing on the assembly of bicycles, this article presents a model that combines linear programming and fuzzy logic to obtain standard times associated with the production lines of bicycles. The tool used for minimizing the objective function was Excel “Solver”, and its formulation involved the identification of variables, restrictions, constant parameters, working conditions and production rates. The times obtained from the linear programming model entered as variables in the fuzzy logic model, to yield standard times estimates. This study allows an identification of the current state of the productive process, obtaining the maximum benefit in operative resources and working conditions. In addition, the model improves decision making through uncertainty control in production planning.
KW - Fuzzy logic
KW - Fuzzy rules
KW - Linear programming
KW - Membership function
KW - Standard time
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M3 - Article
AN - SCOPUS:85069195344
SN - 1646-9895
VL - 2019
SP - 581
EP - 594
JO - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
JF - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
IS - 19
ER -