ARTÍCULO
Mathematical model based on linear programming and fuzzy logic for time prediction in bicycle assembly industries
Fecha
2019Autor
Siguenza Guzman, Lorena Catalina
Rodas Duran, Pedro Javier
Guaman Guachichullca, Noe Rodrigo
Colina Morles, Eliezer Null
Peña Ortega, Mario Patricio
Institución
Resumen
© 2019, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved. 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.