Economic Design of VSI $\bar X$ Control Chart for Decision to Improve Process

공정개선 의사결정을 위한 VSI $\bar X$ 관리도의 경제적 설계

  • Song, Suh-Ill (Dept. Industrial Management System Engineering Dong A Univ.) ;
  • Kim, Jae-Ho (Dept. Industrial Management System Engineering Dong A Univ.) ;
  • Jung, Hey-Jin (Dept. Industrial Management System Engineering Dong A Univ.)
  • 송서일 (동아대학교 산업경영공학과) ;
  • 김재호 (동아대학교 산업경영공학과) ;
  • 정혜진 (동아대학교 산업경영공학과)
  • Published : 2007.06.30

Abstract

Today, the statistical process control (SPC) in manufacture environment is an important role at the process by the productivity improvement of the manufacturing systems. The control chart in this statistical method is widely used as an important statistical tool to find the assignable cause that provoke the change of the process parameters such as the mean of interest or standard deviation. But the traditional SPC don't grasp the change of process according to the points fallen the near control limits because of monitoring the variance of process such as the fixed sampling interval and the sample size and handle the cost of the aspect of these sample point. The control chart can be divided into the statistical and economic design. Generally, the economic design considers the cost that maintains the quality level of process. But it is necessary to consider the cost of the process improvement by the learning effects. This study does the economic design in the VSI $\bar X$ control chart and added the concept of loss function of Taguchi in the cost model. Also, we preyed that the VSI $\bar X$ control chart is better than the FSI $\bar X$ in terms of the economic aspects and proposed the standard of the process improvement using the VSI $\bar X$ control chart.

Keywords

References

  1. Arnold, J. C. Reynolds, Jr.(2001), 'CUSUM Control Charts With Variable Sample Sizes and Sampling Intervals,' Journal of Quality Technology, Vol. 33 No. 1, pp. 66-81 https://doi.org/10.1080/00224065.2001.11980048
  2. Costa, A. F. B.(1994), '$\overline{X}$ Charts with Variable Sample Size', Journal of Quality Technology, Vol 26, No. 3, pp. 401-407
  3. Costa, A. F. B.(1997), '$\overline{X}$ Chart with Variable Sample Size and Sampling Intervals', Journal of Quality Technology, Vol. 29 No. 7, pp. 401-407
  4. Duncan, A. J.(1971), 'The Economic Design of $\overline{X}$-Charts When There is a Multiplicity of Assignable Causes', Journal of the American Statistical Association, Vol. 66, No. 33, pp. 107-121 https://doi.org/10.2307/2284859
  5. Linderman, K. and Love, T. E.(2000), 'Economic and Economic Statistical Designs for MEWMA Control Charts', Journal of Quality Technology, Vol. 32 No. 4, pp. 410-417 https://doi.org/10.1080/00224065.2000.11980026
  6. Lorenzen, J. M. and Vance, L. C.(1986), 'The Economic Design of Control Charts : A Unified Approach', Technometrics, Vol. 28, pp. 3-10 https://doi.org/10.2307/1269598
  7. Park. C. and Reynolds, M. R.(1994), 'Economic Design of a Variable Sample Size $\overline{X}$ Chart', Communication in Statistics-Simulation and Computation, Vol. 23, No. 2, pp. 467-48 https://doi.org/10.1080/03610919408813182
  8. Prabhu, S. S. and Montgomery, D. C.(1994), 'A Combined Adaptive Sample Size and Sampling Interval $\overline{X}$ Control Scheme', Journal of Quality Technology, Vol. 26, pp. 164-176 https://doi.org/10.1080/00224065.1994.11979524
  9. Reynolds, M. R. and Amin, R. W. et al. (1988), '$\overline{X}$ Charts with Variable Sampling Interval', Technometrics, Vol. 30, No. 2, pp. 181-191 https://doi.org/10.2307/1270164
  10. Taguchi, G., Elsayed, E. A., and Hsiang, T. H.(1989), Quality Engineering in Production Systems, McGraw Hill, inc