Development of a system dynamics model based on Six Sigma methodology

A dynamic model to analyze the complexity associated with the manufacturing systems and to improve the performance of the process through the Six Sigma philosophy is proposed. The research focuses on the implementation of the system dynamics tool to comply with each of the phases of the DMAIC method...

Full description

Autores:
Cardiel Ortega, José Jovani
Baeza Serrato, Roberto
Lizárraga Morales, Rocío Alfonsina
Tipo de recurso:
Article of journal
Fecha de publicación:
2017
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/67594
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/67594
http://bdigital.unal.edu.co/68623/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Six Sigma
DMAIC
system dynamics
knitting
Seis Sigma
DMAIC
Dinámica de Sistemas
Tejido de Punto
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:A dynamic model to analyze the complexity associated with the manufacturing systems and to improve the performance of the process through the Six Sigma philosophy is proposed. The research focuses on the implementation of the system dynamics tool to comply with each of the phases of the DMAIC methodology. In the first phase, define, the problem is articulated, collecting data, selecting the variables, and representing them in a mental map that helps build the dynamic hypothesis. In the second phase, measure, model is formulated, equations are developed, and Forrester diagram is developed to carry out the simulation. In the third phase, analyze, the simulation results are studied. For the fourth phase, improving, the model is validated through a sensitivity analysis. Finally, in control phase, operation policies are proposed. This paper presents the development of a dynamic model of the system of knitted textile production knitted developed; the implementation was done in a textile company in southern Guanajuato. The results show an improvement in the process performance by increasing the level of sigma allowing the validation of the proposed approach.