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Lean, Seis Sigma y Herramientas Cuantitativas: Una Experiencia Real en el Mejoramiento Productivo de Procesos de la Industria Gráfica en Colombia.|| Lean, Six Sigma and Quantitative Tools: A Real Experience in the Productive Improvement of Processes of the Graphic Industry in Colombia

Author

Listed:
  • Pérez Vergara, Ileana Gloria

    (Programa de Ingenieria Industrial. Universidad de San Buenaventura Cali (Colombia))

  • Rojas López, José Alberto

    (Programa de Ingenieria Industrial. Universidad de San Buenaventura Cali (Colombia))

Abstract

Los niveles de competitividad que la globalización impone a las empresas, les exige emplear herramientas para mejorar continuamente los niveles de productividad y eficiencia en sus procesos productivos. Dentro de la clasificación de desperdicios que afectan la productividad, destaca el tiempo como uno de los más incidentes, siendo el tiempo de respuesta, desde que el cliente coloca el pedido hasta que la empresa se lo entrega físicamente, un factor diferenciador entre un proveedor y otro, pues los clientes valoran la entrega oportuna como criterio prioritario. En empresas que trabajan bajo pedido y emplean sistema pull, el tiempo de cambios de referencias es un factor que incide directamente en el tiempo del ciclo, por lo que reducirlo, incidirá directamente en el nivel de servicio. Entre las causas más frecuentes que generan retrasos se encuentra la mano de obra y los métodos de trabajo pudiéndose reducir sus impactos con la participación de los operarios en el proceso de toma de decisiones. En este trabajo se muestra un modelo, que combina herramientas de Seis Sigma y Lean Manufacturing, con la simulación discreta y la priorización de actividades según procesos participativos soportados en métodos multicriteriales y se muestran los resultados de su aplicación en un caso real de una compañía de artes gráficas colombiana. || The levels of competitiveness that globalization imposes on companies, requires them to use tools to continuously improve the levels of productivity and efficiency in their production processes. Within the classification of waste that affect productivity, highlights the time as one of the most incidents, being the response time, since the customer places the order until the company delivers it physically, a differentiating factor between a supplier and another, as customers value timely delivery as a priority criterion. In companies that work on demand and use a pull system, the time of change of references is a factor that directly affects the time of the cycle, so improving the time of the enlistment of the machines will directly affect the level of service. Among the most frequent causes that generate delays are labor and work methods, and their impacts can be reduced with the participation of operators in the decision-making process. This paper shows a model that combines Six Sigma and Lean Manufacturing tools, with discrete simulation and prioritization of activities according to participatory processes supported by multicriterial methods, and shows the results of its application in a real case to reduce times of reference changes in a key process of a graphic arts company.

Suggested Citation

  • Pérez Vergara, Ileana Gloria & Rojas López, José Alberto, 2019. "Lean, Seis Sigma y Herramientas Cuantitativas: Una Experiencia Real en el Mejoramiento Productivo de Procesos de la Industria Gráfica en Colombia.|| Lean, Six Sigma and Quantitative Tools: A Real Expe," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 27(1), pages 259-284, June.
  • Handle: RePEc:pab:rmcpee:v:27:y:2019:i:1:p:259-284
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    More about this item

    Keywords

    Seis Sigma; manufactura esbelta; simulación discreta; métodos multicriterio; mejora continua; Six Sigma; lean manufacturing; discrete simulation; multicriteria methods; continuous improvement.;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

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