Application of new multivariate proposals to measure the capacity of a proces
DOI:
https://doi.org/10.18041/1909-2458/ingeniare.21.375Keywords:
Multivariate, capability indices, specifications, quality, targete valueAbstract
The multivariate index capability is of utmost importance for the assessment of compliance with the specifications of a product under the guidelines required by design or by the requirements demanded by the customer. Currently a number of proposals intended to efficiently evaluate this indicator are known, but there is no consensus about what is the best measure to evaluate the specifications of a product with several quality characteristics simultaneously. An example of a pharmaceutical product in which four variables measuring quality or characteristics is performed, where two new proposals multivariate indicators [1] and [2], which differ in some results, but they are similar in quality to the traditional concept, where the existing paradigm is compliance or not certain design specifications.
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References
Bothe, D.(1991). A Capability study for an entire product. ASQC Quality Control Transations. May 1991 pp. 921-925
Shahriari, H. y Abdollahzadeh, M. (2009). A new multivariate process capability vector. Quality Engineering, 21, 290-299.
Shinde R.L y Khadse K.G. (2009). Multivariate process capability using principal component analysis. John Wiley & Sons, Ltd. Quality and Reliability Engineering International. Volume 25, Issue 1, pages 69–77.
Wang F.K. y Chen. J. (1998). Capability index using principal component analisys. Quality Engineering.
Chan LK, Cheng S.W y Spiring F.A. (1988). A new measure of process capability C_pm. Journal of Quality Technology 20(3):162–175.
Pearn WL, Kotz S y Johnson NL (1992). Distributional and inferential properties of process capability indices. Journal of Quality Technology 24(4):216–233.
Kane, V.E. (1986), “Process capability indices,” J. Qual. Technol. 18, 41-52
Chen S.M. y Hsu NF (1995). The asymptotic distribution of the process capability index C_pmk. Communications in Statistics: Theory and Methods 24(5):1279–1291.
Wang, C.H. (2005). Constructing multivariate process capability indices for short-run production. Int. J. Adv. Manuf. Technol. 26, 1306–1311.
Taam, W., Subbaiah, P. y Liddy, J. W. (1993). A note on multivariate capability indices. Journal of Applied Statistics, 20(3), pp. 339-351.
Chen, H. (1994). A multivariate process capability index over a rectangular solid zone. Statistica Sinica. 4, 749–758.
Shahriari, H., Hubele, N.F. y Lawrence, F.P. (1995). A multivariate process capability vector. In: Proceedings of the 4th Industrial Engineering Research Conference, vol. 1, pp. 304–309. (1995)
Montgomery, Douglas C. (2004). Control estadístico de la calidad. Tercera Edición. Limusa. México, pp 797
Shinde, R. L. and Khadse, K. G. (2009). Multivariate Process Capability Using Principal Component Analysis. Quality and Reliability Engineering International, 25, 69-77.
Vargas, A. y Guevara R. (2011). Process Capability Analysis Plot for a Product with Bilateral Specifications. Revista Colombiana de Estadística. Junio 2011, volumen 34, no. 2, pp. 287 a 301.
Wierda, S.J. (1994). Multivariate statistical process control - recent results and directions for future research. Statistica Neerlandica, vol 48 (2) 147-168.
Castagliola P, Maravelakis P, Psarakis S. y Vännman K. (2009). Monitoring capability indices using run rules. Journal of Quality in Maintenance. Engineering. 15(4):358–370.
Garcia, T., Vasquez, M., Ramirez, G. y Garcia, J. (2007). Extensión Multivariante del Índice de Capacidad Real de Procesos. Revista Ingeniería UC, 14(3), pp.86-91.
Hubele N. y Shariari. H. (2000). Comparison of three multivariate process capability Indices. Journal of Quality Technology 32(3).
Peña, D. (2002). Análisis de datos multivariantes. Primera edición, Mc Graw Hill. pp 67 -122.
Vargas A. (2007). Control Estadístico de la Calidad. Universidad del Nacional de Colombia. Bogotá. Unibiblos.
XekalakI, E. y Perakis M. (2000). The Use of Principal Components Analysis in the Assessment of Process Capability Indices. Joint Statistical Meetings – Section on Physical & Engineering Sciences (SPES), pp. 3818-3823.
Shahriari, H. y Abdollahzadeh, M. (2009). A new multivariate process capability vector. Quality Engineering, 21, 290-299.
Shinde R.L y Khadse K.G. (2009). Multivariate process capability using principal component analysis. John Wiley & Sons, Ltd. Quality and Reliability Engineering International. Volume 25, Issue 1, pages 69–77.
Wang F.K. y Chen. J. (1998). Capability index using principal component analisys. Quality Engineering.
Chan LK, Cheng S.W y Spiring F.A. (1988). A new measure of process capability C_pm. Journal of Quality Technology 20(3):162–175.
Pearn WL, Kotz S y Johnson NL (1992). Distributional and inferential properties of process capability indices. Journal of Quality Technology 24(4):216–233.
Kane, V.E. (1986), “Process capability indices,” J. Qual. Technol. 18, 41-52
Chen S.M. y Hsu NF (1995). The asymptotic distribution of the process capability index C_pmk. Communications in Statistics: Theory and Methods 24(5):1279–1291.
Wang, C.H. (2005). Constructing multivariate process capability indices for short-run production. Int. J. Adv. Manuf. Technol. 26, 1306–1311.
Taam, W., Subbaiah, P. y Liddy, J. W. (1993). A note on multivariate capability indices. Journal of Applied Statistics, 20(3), pp. 339-351.
Chen, H. (1994). A multivariate process capability index over a rectangular solid zone. Statistica Sinica. 4, 749–758.
Shahriari, H., Hubele, N.F. y Lawrence, F.P. (1995). A multivariate process capability vector. In: Proceedings of the 4th Industrial Engineering Research Conference, vol. 1, pp. 304–309. (1995)
Montgomery, Douglas C. (2004). Control estadístico de la calidad. Tercera Edición. Limusa. México, pp 797
Shinde, R. L. and Khadse, K. G. (2009). Multivariate Process Capability Using Principal Component Analysis. Quality and Reliability Engineering International, 25, 69-77.
Vargas, A. y Guevara R. (2011). Process Capability Analysis Plot for a Product with Bilateral Specifications. Revista Colombiana de Estadística. Junio 2011, volumen 34, no. 2, pp. 287 a 301.
Wierda, S.J. (1994). Multivariate statistical process control - recent results and directions for future research. Statistica Neerlandica, vol 48 (2) 147-168.
Castagliola P, Maravelakis P, Psarakis S. y Vännman K. (2009). Monitoring capability indices using run rules. Journal of Quality in Maintenance. Engineering. 15(4):358–370.
Garcia, T., Vasquez, M., Ramirez, G. y Garcia, J. (2007). Extensión Multivariante del Índice de Capacidad Real de Procesos. Revista Ingeniería UC, 14(3), pp.86-91.
Hubele N. y Shariari. H. (2000). Comparison of three multivariate process capability Indices. Journal of Quality Technology 32(3).
Peña, D. (2002). Análisis de datos multivariantes. Primera edición, Mc Graw Hill. pp 67 -122.
Vargas A. (2007). Control Estadístico de la Calidad. Universidad del Nacional de Colombia. Bogotá. Unibiblos.
XekalakI, E. y Perakis M. (2000). The Use of Principal Components Analysis in the Assessment of Process Capability Indices. Joint Statistical Meetings – Section on Physical & Engineering Sciences (SPES), pp. 3818-3823.
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Published
2016-12-01
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1.
Verbel A, Herrera RJ, Maestre K. Application of new multivariate proposals to measure the capacity of a proces. ingeniare [Internet]. 2016 Dec. 1 [cited 2025 Dec. 5];(21):31-42. Available from: https://revistas.unilibre.edu.co/index.php/ingeniare/article/view/375
