Modelo matemático basado en programación lineal y lógica difusa para predicción de tiempos en industrias de ensamble de bicicletas

Translated title of the contribution: Mathematical model based on linear programming and fuzzy logic for time prediction in bicycle assembly industries

D. P. Rodas, Rodrigo Guamán, Eliezer Colina Morles, Mario Peña, Lorena Siguenza-Guzmán

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Translated title of the contributionMathematical model based on linear programming and fuzzy logic for time prediction in bicycle assembly industries
Original languageSpanish
Pages (from-to)581-594
Number of pages14
JournalRISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Volume2019
Issue number19
StatePublished - Apr 2019
Externally publishedYes

Keywords

  • Fuzzy logic
  • Fuzzy rules
  • Linear programming
  • Membership function
  • Standard time

ASJC Scopus subject areas

  • Computer Science(all)

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