Skip to main content
Log in

Economic designs of two-sided single and double screening procedures

  • Publications
  • Published:
Metrika Aims and scope Submit manuscript

Abstract

Economic designs of single and double screening procedures for improving outgoing product quality based on two screening variables are presented for the case of two-sided specification limits. Two screening variables are observed simultaneously in the single screening procedure. In the double screening procedure, one variable is used first to make one of three decisions — accept, reject, or undecided — and after the first screening, the second variable is employed to screen the undecided items. It is assumed that the performance and the two screening variables are jointly normally distributed, and the deviation of the performance variable from the ‘ideal’ value causes dissatisfication to the consumers. Two quality cost functions — constant and quadratic — are considered. Cost models are constructed which involve screening inspection cost, and costs of accepted and rejected item. Methods of finding the optimal cutoff values are presented and a numerical example is given.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Anderson TW (1984) An introduction to multivariate statistical analysis. John Wiley & Sons Inc New York

    MATH  Google Scholar 

  • Athan M, Falb P (1966) Optimal control. McGraw-Hill

  • Bai DS, Kim SB, Riew MC (1990) Economic screening procedures based on correlated variables. Metrika 37:263–280

    Article  MATH  MathSciNet  Google Scholar 

  • Bai DS, Hong SH (1992) Economic screening procedures using a correlated variable with multidecision alternatives. Naval Research Logistics 39:471–485

    MATH  Google Scholar 

  • Bai DS, Lee MK (1993) Economic designs of single and double screening procedures. Metrika 40:95–113

    MATH  MathSciNet  Google Scholar 

  • Box GEP, Jenkins GM (1976) Time series analysis. Forecasting, and Control Holden-Day

  • Boys RJ, Dunsmore IR (1986) Screening in a normal model. Journal of Royal Statistical Society — Series B 48:60–69

    MATH  MathSciNet  Google Scholar 

  • International Mathematical and Statistical Libraries (1987) Inc IMSL Library: Reference manual. Houston

  • Kackar RN (1985) Off-line quality control, parameter design, and the taguchi method. Journal of Quality Technology 17:176–188

    Google Scholar 

  • Kim SB, Bai DS (1990) Economic screening procedures in logistic and normal model. Naval Research Logistics 37:919–928

    MATH  MathSciNet  Google Scholar 

  • Kim SB, Bai DS (1992) Economic design of one-sided screening procedures based on a correlated variable with all parameters unknown. Metrika 39:85–93

    MATH  MathSciNet  Google Scholar 

  • Li L, Owen DB (1979) Two-sided screening procedures in the bivariate case. Technometics 21:79–85

    Article  Google Scholar 

  • Madsen RW (1982) A selection procedure using a screening variate. Technometics 24:301–306

    Article  MATH  Google Scholar 

  • Mee RW (1990) An improved procedure for screening based on a correlated, normally distributed variable. Technometrics 32:331–337

    Article  MathSciNet  Google Scholar 

  • Moskowitz H, Plante R, Tsai HT (1991) Single-sided economic screening models incorporating individual unit misclassification error and risk preference. European Journal of Operation Research 53:1139–1153

    Article  Google Scholar 

  • Moskowitz H, Tsai HT (1988) A one-sided double screening procedure using individual unit misclassification error. Management Science 34:1139–1153

    Article  MATH  Google Scholar 

  • Owen DB, Boddie JW (1976) A screening method for increasing acceptable product with some parameters unknown. Technometrics 18:195–199

    Article  MATH  MathSciNet  Google Scholar 

  • Owen DB, Li L, Chou YM (1981) Prediction intervals for screening using a measured correlated variate. Technometrics 23:165–170

    Article  Google Scholar 

  • Owen DB, McIntire D, Seymour E (1975) Tables using one or two screening variables to increase acceptable product under one-sided specifications. Journal of Quality Technology 7:127–138

    Google Scholar 

  • Owen DB, Su YH (1979) Screening based on normal variables. Technometrics 19:65–68

    Article  MathSciNet  Google Scholar 

  • Taguchi G (1984) Quality evaluation for quality assurance, Romulus MI. American Supplier Institute

  • Tang K (1987) Economic design of one-sided screening procedure using a correlated variable. Technometrics 29:477–485

    Article  MATH  MathSciNet  Google Scholar 

  • Tang K (1988a) Economic design of two-sided screening procedure using a correlated variable. Applied Statistics 37:231–241

    Article  Google Scholar 

  • Tang K (1988b) Design of two-stage screening procedure using correlated variables: A loss function approach. Naval Research Logistics 35:513–533

    MATH  MathSciNet  Google Scholar 

  • Tang J, Tang K (1989) A two-sided screening procedure using several correlated variables. IIE Transactions 21:333–336

    Google Scholar 

  • Tsai HL, Moskowitz H (1986) A single screening procedure using individual misclassification error under one-sided specification. Institute Paper 896, Krannert Graduate School of Management Purdue University

  • Wong A, Meeker JB, Selwyn MR (1985) Screening on correlated variables: A bayesian approach. Technometrics 27:423–431

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bai, D.S., Lee, M.K. Economic designs of two-sided single and double screening procedures. Metrika 44, 53–69 (1996). https://doi.org/10.1007/BF02614054

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02614054

Keywords

Navigation