Control de gestión para la calidad en una em-presa bancaria a través del rendimiento pro-medio de corrida y el indicador geométrico multivariable utilizando las métricas Seis Sigma
Derechos de autor 2024 Investigación e Innovación en Ingenierías
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
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- Submited: August 29, 2024
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Publicado: December 17, 2024
Resumen
Objetivo: analizar el control de la gestión de calidad desde perspectivas particulares con el uso de las curvas de operación del rendimiento promedio de corrida (RPC) y el indicador geométrico de capacidad multivariable ) respaldado por el uso de las métricas Seis Sigma. Metodología: Adopta una perspectiva analítica sobre la investigación y propone formas de medir y controlar este sistema. Resultados: Se reveló que el análisis de las curvas de operación RPC permiten conocer la cantidad de servicios necesarios para que un proceso pase de un nivel Z a otro nivel Z, hallando la diferencia del RPC que se obtiene en Z menor y el RPC obtenido en Z mayor para conocer el mejor crecimiento que puede tener el nivel sigma en cada uno de los servicios, mientas que el índice geométrico de capacidad multivariable ) mide el desempeño del servicio de forma integral y general, dando como resultado un valor de 0,92074, lo que indica un desempeño excelente. Conclusiones: al establecer un modelo innovador fundamentado en las curvas de operación de las métricas Seis Sigma, se facilita el control de calidad en cada operación de un servicio gracias a las curvas de operación RPC y la gestión de la calidad global e integral a favor del ), mejorando desempeño de la empresa desde distintas perspectivas.
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- E. Gonu, P. M. Agyei, O. K. Richard, & M. Asare-Larbi. Customer orientation, service quality and customer satisfaction interplay in the banking sector: An emerging market perspective. Cogent Business & Management, 10(1), 2023. DOI: https://doi.org/10.1080/23311975.2022.2163797
- S. O. Ighomereho, T. S. Afolabi, & A. O. Oluwakoya. Impact of E-service quality on customer satisfaction: a study of internet banking for general and maritime services in Nigeria. Journal Of Financial Services Marketing, 28(3), 488-501, 2022. DOI: https://doi.org/10.1057/s41264-022-00164-x
- A. B. Badiru. Quality insight: quality integration using engineering systems methodology. International Journal Of Quality Engineering And Technology, 8(4), 325, 2022. DOI: https://doi.org/10.1504/ijqet.2022.123500
- K. Antosz, M. Jasiulewicz-Kaczmarek, R. Waszkowski, & J .Machado. Application of Lean Six Sigma for sustainable maintenance: case study. IFAC-PapersOnLine, 55(19), 181-186, 2022. DOI: https://doi.org/10.1016/j.ifacol.2022.09.204
- S. Kalaivani, & J. Ravichandran. Performance evaluation of exponential distribution using Six Sigma-based tail probabilities. Communications In Statistics. Simulation And Computation, 50(11), 3125-3145, 2020. DOI: https://doi.org/10.1080/03610918.2019.1708931
- T. J. Fontalvo, E. De la Hoz, & O. Fontalvo. Six sigma method to assess the quality of the service in a gas utility company. International Journal of Process Management and Benchmarking., 12(2), 220-232, 2022a. DOI: http://dx.doi.org/10.1504/IJPMB.2022.121628
- S. Shaik, S. D. Sampson, & M. Franchetti. Evaluating reliability of diesel generator peakers using Six Sigma methodologies. International Journal Of Six Sigma And Competitive Advantage, 13(4), 456, 2021. DOI: https://doi.org/10.1504/ijssca.2021.120587
- M. Bruhn. Importance of Quality Management for Service Companies. En Springer eBooks (pp. 3-19), 2023. DOI: https://doi.org/10.1007/978-3-662-67032-3_1
- H. Al-Wishah, G. A. Al-Weshah,, H. M. Abu-Hamour, & K. N. Alzubi. Service Quality and Customer Loyalty: Evidence from Jordanian Banks. Jordan Journal of Business Administration, 18(4), 2022. DOI: https://doi.org/10.35516/jjba.v18i4.454
- T. Alblooshi, M. Azli, M. F., Hilmi, A., Abudaqa, & G. Ahmed. Examining the trends in citizen satisfaction towards e-government services in United Arab Emirates: a structural equation modelling approach. International Journal Of Services, Economics And Management, 14(1), 58, 2023. DOI: https://doi.org/10.1504/ijsem.2023.129597
- N. Gupta. Optimising data quality of a data warehouse using data purgation process. International Journal Of Data Mining, Modelling And Management, 15(1), 102, 2023. DOI: https://doi.org/10.1504/ijdmmm.2023.129961
- R. Khan, T. Pervin, Z. U. Arif, & M. K. Hossain. The impact of technology service quality on Bangladeshi banking consumers’ satisfaction during the pandemic situation: Green development and innovation perspective in banking service. Innovation And Green Development, 3(2), 100120, 2024. DOI: https://doi.org/10.1016/j.igd.2023.100120
- D.I Inan, A.N Hidayanto, R. Juita, F.F. Soemawilaga, F, Melinda, P. Puspacinantya, and Y. Amalia. "Service quality and self-determination theory towards continuance usage intention of mobile banking", Journal of Science and Technology Policy Management, Vol. 14 No. 2, pp. 303-328, 2023. DOI: https://doi.org/10.1108/JSTPM-01-2021-0005
- A. Rashid, M. Akmal, & S. M. A. R. Shah. Corporate governance and risk management in Islamic and convectional financial institutions: explaining the role of institutional quality. Journal Of Islamic Accounting And Business Research, 15(3), 466-498, 2023. DOI: https://doi.org/10.1108/jiabr-12-2021-0317
- A. A. Ahinful, A. O. Mensah, S. Koomson, C. Cobblah, G. Takyi, & A. H. Kwarteng. Achieving banking industry innovation performance using total quality management: an empirical study. The TQM Journal, 2024. DOI: https://doi.org/10.1108/tqm-10-2023-0327
- Widiwati, I. T. B., Liman, S. D., & Nurprihatin, F. The Implementation of Lean Six Sigma Approach to Minimize Waste at a Food Manufacturing Industry. Maǧallaẗ Al-abḥāṯ Al-handasiyyaẗ, 2024. DOI: https://doi.org/10.1016/j.jer.2024.01.022
- Y. Mishra, M. K. Sharma, V. Yadav, M. L. Meena, & G. S. Dangayach. Lean Six Sigma implementation in an Indian manufacturing organisation: a case study. International Journal of Six Sigma and Competitive Advantage, 13(1-3), 76-100, 2021. DOI: http://dx.doi.org/10.1504/IJSSCA.2021.120228
- M. Terek. Estimating Some Metrics in Six Sigma Through Confidence Intervals. Kvalita InováCia Prosperita/Quality Innovation Prosperity, 28(1), 15-25, 2024. DOI: https://doi.org/10.12776/qip.v28i1.1972
- T. J. H. Fontalvo. A. G. B. Maturana, & K. V. Mendoza. Performance of a concurrent parallel production system through new operating curves of Six Sigma metrics. Production, 34, 2024a. DOI: https://doi.org/10.1590/0103-6513.20230040
- T. J. H. Fontalvo, F. L. Ballesteros, and N. C. Henao. New Six Sigma Metrics Operation Curves and Multivariate Capability Indicators for a Multilinear Production System, 2023c. DOI: ttp://dx.doi.org/10.2139/ssrn.4498561
- T. J. H. Fontalvo, K. B. Garcia, L. C. Perez. Comparing the performance of serial and parallel production systems through six Sigma metrics, 2023b. Universidad de Cartagena
- T. J. H. Fontalvo, F. Z., Mejia, & G. Rodríguez. Evaluación con curvas de operación de métricas Seis Sigma el desempeño de sistemas productivos mixtos. Investigación E Innovación En Ingenierías, 12(1), 1-12, 2024b. DOI: https://doi.org/10.17081/invinno.12.1.6680
- T. J. H. Fontalvo. & A. G. B Maturana. Comparative analysis of multivariate capacity indicators for serial and parallel systems. International Journal of Six Sigma and Competitive Advantage, 14(4), 468-489, 2023a. DOI: https://doi.org/10.1504/ijssca.2023.134454
- T. J. H. Fontalvo, R. Herrera, , & E. J De la Hoz - Dominguez. Método de control estadístico multivariante para valorar las dimensiones de calidad en una empresa de lavado de tanques industriales. Información Tecnológica, 31(5), 109-118, 2020. DOI: https://doi.org/10.4067/s0718-07642020000500109
- KM. Cheng, CH. Hsu, & CH. Huang. A Study on the application of 6-Sigma on the enhancement of service quality of fitness club. Qual Quant 46, 705–713, 2012. DOI: https://doi.org/10.1007/s11135-010-9424-7
- T. J. H. Fontalvo, R. Herrera, & A. G. B. Maturana. Performance evaluation method of the service quality dimensions using Six Sigma metrics, the main components’ quality indicator and the geometric capacity indicator. Engineering Management In Production And Services, 16(1), 65-76, 2024c. DOI: https://doi.org/10.2478/emj-2024-0005
- K. T. Uçar, & A. Çat. A Comparative Analysis of Sigma Metrics Using Conventional and Alternative Formulas. Clinica Chimica Acta (Print), 549, 117536, 2023. DOI: https://doi.org/10.1016/j.cca.2023.117536
- B. Santosh, R. Prathamesh, M. Mittal, (2021). Implementation of a Six Sigma strategy for process improvement in the wiper motor manufacturing industry. International Journal Of Six Sigma And Competitive Advantage, 13(1/2/3), 241, 2021. DOI: https://doi.org/10.1504/ijssca.2021.120219
- C. Sithole, I. Gibson, & S. Hoekstra. Evaluation of the applicability of design for six sigma to metal additive manufacturing technology. Procedia CIRP, 100, 798-803, 2021. DOI: https://doi.org/10.1016/j.procir.2021.05.041
- T. J. H. Fontalvo, E. De la Hoz, & A. G. B. Maturana. Curvas longitud promedio de corrida de métricas seis sigma para evaluar la calidad de un sistema bancario en Colombia. AS Valorem, facultad de ciencias económicas, 2024d.
- T. J. H. Fontalvo, R. Herrera, & J. Zambrano. Threephase method to assess the logistics service using Six Sigma metrics, Hotelling’s T-square control chart and a Main component capacity indicator. International Journal of Productivity and Quality Management, 35(1), 17-39, 2022b. DOI: https://doi.org/10.1504/ijpqm.2022.120720
- R. Barreto, & R. Herrera. Six sigma-oriented methodology for multivariate capability analysis to measure service quality in virtual education environments. International Journal Of Productivity And Quality Management, 39(4), 431-463, 2023. DOI: https://doi.org/10.1504/ijpqm.2023.132830