Derechos de autor 2024 Investigación e Innovación en Ingenierías
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Evaluación con curvas de operación de métricas Seis Sigma el desempeño de sistemas productivos mixtos
Corresponding Author(s) : Tomas Fontalvo Herrera
Investigación e Innovación en Ingenierías,
Vol. 12 Núm. 1 (2024): Enero-Junio
Resumen
Objetivo: Proponer nuevas curvas de operación de las métricas seis sigma para evaluar el desempeño de un sistema productivo mixto (Serie y en paralelo). Marco teórico: Para lo anterior se utiliza como marco teórico los conceptos de curva de operación, control estadístico de la producción, métricas seis sigma y sistemas de producción mixto. Metodología: se aborda un enfoque heurístico y un análisis de sensibilidad para analizar el comportamiento de los defectos en parte por millón, rendimiento Y, para lo cual se proponen las curvas de operación al variar en rango de 0 a 6 el nivel sigma Z del sistema y de los procesos. Resultados: se muestran que el sistema productivo evidencia como máxima capacidad de desempeño de calidad en términos de sigma los valores de Z 5,25, 5,43 y 5,08 respectivamente para los procesos 1, 5, 6. Conclusión: Se aporta un método innovador que permite monitorear el desempeño de la calidad en condiciones cambiantes, y analizar como incide estos cambios en la reducción de defectos de cualquier sistema productivo.
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- Ramírez, J. F., López, V. G., Hernández, S. A., & Morejón, M. (2021). Lean Six Sigma e Industria 4.0, una revisión desde la administración de operaciones para la mejora continua de las organizaciones. Revista Científica Multidisciplinaria, 5(4), 151-168. https://doi.org/10.47230/unesum-ciencias.v5.n4.2021.584
- Tampubolon, S., & Purba, H. H. (2021). Lean six sigma implementations, a systematic literature review. International Journal of Production Management and Engineering, 9(2), 125–139. https://doi.org/10.4995/ijpme.2021.14561
- Widodo, A., & Soediantono, D. (2022). Benefits of the Six Sigma Method (DMAIC) and Implementation Suggestion in the Defense Industry: A Literature Review. International Journal of Social and Management Studies, 3(3), 1–12. https://doi.org/10.5555/ijosmas.v3i3.138
- Niñerola, A., Sánchez-Rebull, M. V., & Hernández-Lara, A. B. (2020). Quality improvement in healthcare: Six Sigma systematic review. Health Policy, 124(4), 438-445. https://doi.org/10.1016/j.healthpol.2020.01.002
- Abdallah, A. (2020) Simulated Six Sigma: A multi response optimization, Quality Engineering, 32(4), 583-594, https://doi.org/10.1080/08982112.2019.1694151
- Madhani, P. M. (2022). Lean Six Sigma deployment in HR: enhancing business performance. International Journal of Human Resources Development and Management, 22(1/2), 75. https://doi.org/10.1504/ijhrdm.2022.121314
- Antony, J. y M. Sony. 2020. Un estudio empírico sobre las limitaciones y las tendencias emergentes de Six Sigma en las organizaciones de fabricación y servicios. Revista internacional de gestión de calidad y confiabilidad 37(3), 470-93. https://doi.org/10.1108/ijqrm-07-2019-0230
- Qayyum, S., Et al. (2020). Managing smart cities through six sigma DMADICV method: A review-based conceptual framework. Sustainable Cities and Society, 72. https://doi.org/10.1016/j.scs.2021.103022
- Zhu, Z., Et al. (2018). Life cycle productions systems in China. Journal of Cleaner Production, 201, 156-168. https://doi.org/10.1016/j.jclepro.2018.08.032.
- Fontalvo-Herrera, T., Morelos-Gomes, J., Garcia, N. (2022 a). Evaluación de la calidad de la producción de pastas comestibles mediante Seis Sigma. Investigación e Innovación en Ingenierías,10(1), 160-177. https://doi.org/10.17081/invinno.10.1.5696
- Wang, H., Zhang, G., Zhou, S., & Ouyang, L. (2021). Implementation of a novel Six Sigma multi-objective robustness optimization method based on the improved response surface model for bumper system design. Thin-Walled Structures, 167, 108257. https://doi.org/10.1016/j.tws.2021.108257
- Fontalvo-Herrera, T., Delahoz-Domínguez, E., Fontalvo, O. (2022 b). Six Sigma method to assess the quality of the service in a gas utility company. International Journal of Process Management and Benchmarketing, 12(2), 220-232. https://doi.org/10.1504/ijpmb.2022.121628
- Davies, C., Lyons, C., & Whyte, R., optimizing nursing time in a day care unit: Quality Improvement using Lean Six Sigma methodology, International Journal for quality in health care, journal of the international Society for Quality in Heath Care, 31(1), 22-28 (2019). https: //doi.org/10.1093/intqhc/m22087
- John, B. & Subhani, S. M (2020). A modified control chart for monitoring non-normal characteristics, International Journal of productivity and Quality Management, 29(3), 309-320. https://doi.org/10.1504/IJPQM.2020.105990
- Olanrewaju, F., Chima, A., & Nnanna, I. (2019). Lean Six Sigma Methodology and Its Application in the Manufacturing Industry – A Review. American Journal of Mechanical and Industrial Engineering, 4(3), 40 https://doi.org/10.11648/j.ajmie.20190403.11
- Da Silva, I. B., Filho, M. G., Luiz, A. O., & Lima junior, O. F. (2019). A new Lean Six Sigma framework for improving competitiveness. Acta Scientiarum Technology, Maringa, 41, e37327. https://doi.org/10.4025/actascitechnol.v41i1.37327
- Kregel, I., Stemann, D., Koch, J., & Coners, A. (2021b). Process Mining for Six Sigma: Utilising Digital Traces. Computers & Industrial Engineering, 153, 107083. https://doi.org/10.1016/j.cie.2020.107083
- Echavez, O. F., Herrera, T. J. F., & Herrera, R. (2021). Evaluation method of the sigma level multidimensional capacity of the service dimensions in a call centre of a telephone company. International Journal of Productivity and Quality Management, 34(3), 319. https://doi.org/10.1504/ijpqm.2021.119787
- Fontalvo, T., Dominguez, E. D., & Fontalvo, O. (2022). Six Sigma method to assess the quality of the service in a gas utility company. International Journal of Process Management and Benchmarking, 12(2), 220. https://doi.org/10.1504/ijpmb.2022.121628
- Fontalvo, T., Dominguez, E. D., & Gonzalez, Y. (2021). A Six Sigma approach to measure service quality in key dependencies of a government ministry. International Journal of Technology Policy and Management, 21(4), 317. https://doi.org/10.1504/ijtpm.2021.119701
- Fontalvo, T., Herrera, R., & Zambrano, J. (2022). Three-phase method to assess the logistics service using Six Sigma metrics, Hotelling’s T-square control chart and a principal component capacity indicator. International Journal of Productivity and Quality Management, 35(1), 17. https://doi.org/10.1504/ijpqm.2022.120720.
Referencias
Ramírez, J. F., López, V. G., Hernández, S. A., & Morejón, M. (2021). Lean Six Sigma e Industria 4.0, una revisión desde la administración de operaciones para la mejora continua de las organizaciones. Revista Científica Multidisciplinaria, 5(4), 151-168. https://doi.org/10.47230/unesum-ciencias.v5.n4.2021.584
Tampubolon, S., & Purba, H. H. (2021). Lean six sigma implementations, a systematic literature review. International Journal of Production Management and Engineering, 9(2), 125–139. https://doi.org/10.4995/ijpme.2021.14561
Widodo, A., & Soediantono, D. (2022). Benefits of the Six Sigma Method (DMAIC) and Implementation Suggestion in the Defense Industry: A Literature Review. International Journal of Social and Management Studies, 3(3), 1–12. https://doi.org/10.5555/ijosmas.v3i3.138
Niñerola, A., Sánchez-Rebull, M. V., & Hernández-Lara, A. B. (2020). Quality improvement in healthcare: Six Sigma systematic review. Health Policy, 124(4), 438-445. https://doi.org/10.1016/j.healthpol.2020.01.002
Abdallah, A. (2020) Simulated Six Sigma: A multi response optimization, Quality Engineering, 32(4), 583-594, https://doi.org/10.1080/08982112.2019.1694151
Madhani, P. M. (2022). Lean Six Sigma deployment in HR: enhancing business performance. International Journal of Human Resources Development and Management, 22(1/2), 75. https://doi.org/10.1504/ijhrdm.2022.121314
Antony, J. y M. Sony. 2020. Un estudio empírico sobre las limitaciones y las tendencias emergentes de Six Sigma en las organizaciones de fabricación y servicios. Revista internacional de gestión de calidad y confiabilidad 37(3), 470-93. https://doi.org/10.1108/ijqrm-07-2019-0230
Qayyum, S., Et al. (2020). Managing smart cities through six sigma DMADICV method: A review-based conceptual framework. Sustainable Cities and Society, 72. https://doi.org/10.1016/j.scs.2021.103022
Zhu, Z., Et al. (2018). Life cycle productions systems in China. Journal of Cleaner Production, 201, 156-168. https://doi.org/10.1016/j.jclepro.2018.08.032.
Fontalvo-Herrera, T., Morelos-Gomes, J., Garcia, N. (2022 a). Evaluación de la calidad de la producción de pastas comestibles mediante Seis Sigma. Investigación e Innovación en Ingenierías,10(1), 160-177. https://doi.org/10.17081/invinno.10.1.5696
Wang, H., Zhang, G., Zhou, S., & Ouyang, L. (2021). Implementation of a novel Six Sigma multi-objective robustness optimization method based on the improved response surface model for bumper system design. Thin-Walled Structures, 167, 108257. https://doi.org/10.1016/j.tws.2021.108257
Fontalvo-Herrera, T., Delahoz-Domínguez, E., Fontalvo, O. (2022 b). Six Sigma method to assess the quality of the service in a gas utility company. International Journal of Process Management and Benchmarketing, 12(2), 220-232. https://doi.org/10.1504/ijpmb.2022.121628
Davies, C., Lyons, C., & Whyte, R., optimizing nursing time in a day care unit: Quality Improvement using Lean Six Sigma methodology, International Journal for quality in health care, journal of the international Society for Quality in Heath Care, 31(1), 22-28 (2019). https: //doi.org/10.1093/intqhc/m22087
John, B. & Subhani, S. M (2020). A modified control chart for monitoring non-normal characteristics, International Journal of productivity and Quality Management, 29(3), 309-320. https://doi.org/10.1504/IJPQM.2020.105990
Olanrewaju, F., Chima, A., & Nnanna, I. (2019). Lean Six Sigma Methodology and Its Application in the Manufacturing Industry – A Review. American Journal of Mechanical and Industrial Engineering, 4(3), 40 https://doi.org/10.11648/j.ajmie.20190403.11
Da Silva, I. B., Filho, M. G., Luiz, A. O., & Lima junior, O. F. (2019). A new Lean Six Sigma framework for improving competitiveness. Acta Scientiarum Technology, Maringa, 41, e37327. https://doi.org/10.4025/actascitechnol.v41i1.37327
Kregel, I., Stemann, D., Koch, J., & Coners, A. (2021b). Process Mining for Six Sigma: Utilising Digital Traces. Computers & Industrial Engineering, 153, 107083. https://doi.org/10.1016/j.cie.2020.107083
Echavez, O. F., Herrera, T. J. F., & Herrera, R. (2021). Evaluation method of the sigma level multidimensional capacity of the service dimensions in a call centre of a telephone company. International Journal of Productivity and Quality Management, 34(3), 319. https://doi.org/10.1504/ijpqm.2021.119787
Fontalvo, T., Dominguez, E. D., & Fontalvo, O. (2022). Six Sigma method to assess the quality of the service in a gas utility company. International Journal of Process Management and Benchmarking, 12(2), 220. https://doi.org/10.1504/ijpmb.2022.121628
Fontalvo, T., Dominguez, E. D., & Gonzalez, Y. (2021). A Six Sigma approach to measure service quality in key dependencies of a government ministry. International Journal of Technology Policy and Management, 21(4), 317. https://doi.org/10.1504/ijtpm.2021.119701
Fontalvo, T., Herrera, R., & Zambrano, J. (2022). Three-phase method to assess the logistics service using Six Sigma metrics, Hotelling’s T-square control chart and a principal component capacity indicator. International Journal of Productivity and Quality Management, 35(1), 17. https://doi.org/10.1504/ijpqm.2022.120720.