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South African Journal of Industrial Engineering

versão On-line ISSN 2224-7890
versão impressa ISSN 1012-277X

S. Afr. J. Ind. Eng. vol.21 no.2 Pretoria  2010

 

GENERAL ARTICLE

 

How to control process variability more effectively: The case of a B-complex vitamin production process

 

 

M.A. DjauhariI; I. MohamadII

IDepartment of Mathematics, Universiti Teknologi Malaysia, Malaysia maman@utm.my
IIDepartment of Mathematics, Universiti Teknologi Malaysia, Malaysia im@mel.fs.utm.my

 

 


ABSTRACT

This paper presents a new procedure for controlling process variability where (i) the quality of the process is determined by more than one quality characteristic, and (ii) the correlations among those quality characteristics must be taken into consideration. The ability of this procedure to detect an abrupt shift of covariance structure is an improvement on the standard practice based on generalised variance. An experience of the production process of the B-complex vitamin is reported to illustrate the merit of the proposed procedure.


OPSOMMING

Die metodes van 'n nuttige gehaltebeheerprosedure vir die bepaling van gehaltebeheerverlies wat 'n chemiese produk met meervoudige gehalte-eienskappe besit, word beskryf teen die agtergrond van kovariasie. Die prosedure word getoets in die praktyk by die vervaardiging van 'n gegewe chemiese produktipe. Aspekte van voordele en nadele van die metode word ook gewetensgetrou behandel.


 

 

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REFERENCES

[1] Alt, F.B., & Smith, N.D. 1988. Multivariate process control. Handbook of statistics, P. R. Krishnaiah and C. R. Rao (eds), Elsevier Science Publishers, 7, pp. 333-351.         [ Links ]

[2] Anderson, T.W. 2003. An introduction to multivariate statistical analysis, 3rd edition, John Wiley and Sons.         [ Links ]

[3] Djauhari, M.A. 2005. Improved monitoring of multivariate process variability. Journal of Quality Technology, 37, pp. 32-39.         [ Links ]

[4] Djauhari, M.A., Mashuri, M. & Herwindiati, D.E. 2008. A multivariate process variability. Communication in Statistics - Theory and Methods, 37, pp. 1742-1754.         [ Links ]

[5] Mason, R.L., Chou, Y.M. & Young, C.J. 2009. Monitoring variation in a multivariate process when the dimension is large relative to the sample size. Communication in Statistics - Theory and Methods, 38, pp. 939-951.         [ Links ]

[6] Rooney, J.J., Kubiah, T.M., Westcott, R., Reid, R.D., Wagoner, K., Pylipow, P.E. & Plsek, P. 2009. Building from the basics. Quality Progress, 1, pp. 18-29. 216        [ Links ]

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