Physics

Chung-Ho Chen This email address is being protected from spambots. You need JavaScript enabled to view it.1

1Department of Industrial Management, Southern Taiwan University of Technology, Yung Kang, Taiwan 710, R.O.C.

 

Received: January 13, 2004
Accepted: December 16, 2004
Publication Date: March 1, 2005

Download Citation: ||https://doi.org/10.6180/jase.2005.8.1.10  


ABSTRACT

In 2000, Misiorek and Barnett extended Golhar and Pollock’s (1988) model with weights and measurements requirements for a filling process. They considered the normal quality characteristic and adopted the piecewise linear profit function for measuring the profit per fill. However, in the real world, many quality characteristics often show various types of skewed distribution. In this paper, we further propose the modified Misiorek and Barnett’s (2000) model with beta distribution for determining the optimum process mean.


Keywords: Piecewise Linear Profit Function, Beta Distribution, Process Mean, Process Standard Deviation


REFERENCES

  1. [1] Taguchi, G., Introduction to Quality Engineering, Asian Productivity Organization, Tokyo, Japan (1986).
  2. [2] Hunter, W. G., and Kartha, C. P., “Determining the Most Profi Target Value for a Production Process,” Journal of Quality Technology, Vol. 9, pp. 176181 (1977).
  3. [3] Carlsson, O., “Determining the Most Profitable Process Level for a Production Process under Different Sales Conditions,” Journal of Quality Technology, Vol. 16, pp. 4449 (1984).
  4. [4] Bisgaard, S., Hunter, W. G., and Pallesen, L., “Economic Selection of Quality of Manufactured Product,” Technometrics, Vol. 26, pp. 918 (1984).
  5. [5] Golhar, D. Y., “Determination of the Best Mean Contents for a ‘Canning Problem’,” Journal of Quality Technology, Vol. 19, pp. 8284 (1987).
  6. [6] Golhar, D. Y. “Computation of the Optimal Process Mean and the Upper Limit for a Canning Problem,” Journal of Quality Technology, Vol. 20, pp. 193195 (1988).
  7. [7] Golhar, D. Y. and Pollock, S. M., “Determination of the Optimal Process Mean and the Upper Limit of the Canning Problem,” Journal of Quality Technology, Vol. 20, pp. 188192 (1988).
  8. [8] Golhar, D. Y. and Pollock, S. M., “Cost Savings Due to Variance Reduction in a Canning Process,” IIE Transactions, Vol. 24, pp. 8892 (1992).
  9. [9] Misiorek, V. I. and Barnett, N. S., “Mean Selection for Filling Processes under Weights and Measures Requirements,” Journal of Quality Technology, Vol. 32, pp. 111121 (2000).
  10. [10] Lee, M. K., Hong, S. H., and Elsayed, E. A., “The Optimum Target Value under Single and Two-stage Screenings,” Journal of Quality Technology, Vol. 33, pp. 506 514 (2001).
  11. [11] Lee, M. K., Hong, S. H., Kwon, H. M., and Kim, S. B., “Optimum Process Mean and Screening Limits for a Production Process with Three-class Screening,” International Journal of Reliability, Quality and Safety Engineering, Vol. 7, pp. 179190 (2000).
  12. [12] Chandra, M. J., Statistical Quality Control, CRC Press LLC, Florida, U.S.A. p. 138 (2001).

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