Journal of Korean Society for Quality Management (품질경영학회지)

Korean Society for Quality Management (한국품질경영학회)
권호 표지

Effects of Limited Capacity on Screening Procedures Using a Surrogate Variable

대용특성을 활용한 스크리닝 검사에서 제한된 생산용량의 효과분석

  • Choi, Ik-Jun (Department of Industrial & Information Systems Engineering, Research Center of Industrial Technology, Chonbuk National University) ;
  • Hong, Sung-Hoon (Department of Industrial & Information Systems Engineering, Research Center of Industrial Technology, Chonbuk National University)
  • 최익준 (전북대학교 산업정보시스템공학과, 공업기술연구센터) ;
  • 홍성훈 (전북대학교 산업정보시스템공학과, 공업기술연구센터)
  • Published : 2008.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Due to the rapid growth in automated testing and manufacturing systems, screening inspection becomes very attractive. In this paper, we investigate the effects of limited capacity on screening inspection using a surrogate variable. The model is developed under the assumption that the reprocessed and nonreprocessed items are produced by the same manufacturing process and therefore their quality characteristics are independently and identically distributed. Profit models are constructed which involve four price/cost components; selling price, cost incurred by imperfect quality, reprocessing and quality inspection costs. Methods of finding the optimal screening limits are presented, and a numerical example is given. Sensitivity analyses are also performed to study the effect of a process standard deviation on this model.

Keywords

References

  1. Bai, D.S. and Hong, S.H. (1992), "Economic Screening Procedures Using a Correlated Variable with Multidecision Alternatives", Naval Research Logistics, Vol. 39, pp. 471-485 https://doi.org/10.1002/1520-6750(199206)39:4<471::AID-NAV3220390404>3.0.CO;2-I
  2. Bai, D.S., Kwon, H.M., and Lee, M.K. (1995), "An Economic Two-Stage Screening Procedure with a Prescribed Outgoing Quality in Logistic and Normal Models", Naval Research Logistics, Vol. 42, pp. 1081-1097 https://doi.org/10.1002/1520-6750(199510)42:7<1081::AID-NAV3220420707>3.0.CO;2-X
  3. Boys, R.J. and Dunsmore, I.R. (1987), "Diagonostic and Sampling Models in Screening", Biometrika Vol. 74, pp. 356-374
  4. Choi. I.J. and Hong, S.H. (2008), "Effects of Limited Capacity on Tolerance Design for Products with N-Type Quality Characteristics", Journal of the Korean Society for Quality Management Vol. 36, pp. 20-27
  5. Duffuaa, S.O. and Al-Najjar, H.J. (1995), "An Optimal Complete Inspection Plan for Critical Multicharacteristic Components", Journal of Operational Research Society Vol. 46, pp. 930-942 https://doi.org/10.2307/3009905
  6. Govindaluri, M.S., Shin, S., and Cho, B.R. (2004), "Tolerance Optimization Using the Lambert W Function: an Empirical Approach", International Journal of Production Research Vol. 42, pp. 3235-3251 https://doi.org/10.1080/00207540410001696311
  7. Golhar, D.Y. (1987), "Determination of the Best Mean Contents for a Canning Problem", Journal of Quality Technology Vol. 19, pp. 82-84 https://doi.org/10.1080/00224065.1987.11979042
  8. Hong, S.H. and Cho, B.R. (2007), "Joint Optimization of Process Target Mean and Tolerance Limits with Measurement Errors under Multi-Decision Alternatives", European Journal of Operational Research, Vol. 183, pp. 327-335 https://doi.org/10.1016/j.ejor.2006.09.063
  9. Hong, S.H. and Elsayed, E.A. (1998), "Economic Complete Inspection Plans with Multi-Decision Alternatives", International Journal of Production Research Vol. 36, pp. 3367-3378 https://doi.org/10.1080/002075498192102
  10. Hong, S.H. and Elsayed, E.A. (1999), "The Optimum Mean for Processes with Normally Distributed Measurement Error", Journal of Quality Technology Vol. 31, pp. 338-344 https://doi.org/10.1080/00224065.1999.11979932
  11. Hong, S.H., Kwon, H.M., Lee, M.K., and Cho, B.R. (2006), "Joint Optimization in Process Target and Tolerance Limit for L-Type Quality Characteristics", International Journal of Production Research Vol. 44, pp. 3051-3060 https://doi.org/10.1080/00207540500478736
  12. Kwon, H.M., Hong, S.H. and Lee, M.K. (2007), "Economic Selection of Mean Value for a Multiple-Product-Manufacturing-Process with Two-Sided Specification Limits", International Journal of Industrial Engineering, Vol. 14 pp. 348-354
  13. Lee, M.K. and Elsayed, E.A. (2002), "Process Mean and Screening Limits for Filling Processes under Two-Stage Screening Procedure", European Journal of Operational Research Vol. 138, pp. 118-126 https://doi.org/10.1016/S0377-2217(01)00128-X
  14. Lee, M.K., Hong, S.H., and Elsayed, E.A. (2001), "The Optimum Target Value under Single and Two-Stage Screenings", Journal of Quality Technology Vol. 33, No. 4, pp. 506-514 https://doi.org/10.1080/00224065.2001.11980108
  15. Lee, M.K., Kwon, H.M., Hong, S.H., and Ha, J.W. (2006), "Economic Selection of Sub- Process Mean Values for a Mixture Production Process", International Journal of Production Research Vol. 44, pp. 4367-4376 https://doi.org/10.1080/00207540600597112
  16. Lee, M.K. and Kim, G.S. (1994), "Determination of the Optimal Target Values for a Filling Process When Inspection Is Based on a Correlated Variable", International Journal of Production Economics Vol. 37, pp. 205-213 https://doi.org/10.1016/0925-5273(94)90171-6
  17. Li, L. and Owen, D.B. (1979), "Two-Sided Screening Procedures in the Bivariate Case", Technometrics Vol. 21, pp. 79-85 https://doi.org/10.2307/1268583
  18. Maghsoodloo, S. and Li, M.H.C. (2000), "Optimal Asymmetric Tolerance Design", IIE Transactions Vol. 32, pp. 1127-1137
  19. Misiorek, V.I. and Barnett, N.S. (2000), "Mean Selection for Filling Processes under Weights and Measures Requirements", Journal of Quality Technology Vol. 32, pp. 111-121 https://doi.org/10.1080/00224065.2000.11979983
  20. Moskowitz, H., Plante, R. and Duffy, J. (2001), "Multivariate Tolerance Design Using Quality Loss", IIE Transactions Vol. 33, pp. 437-448
  21. Owen, D.B., McIntire, D. and Seymour, E. (1975), Tables Using One or Two Screening Variables to Increase Acceptable Product Under One-Sided Specifications, Journal of Quality Technology Vol. 7, pp. 127-138 https://doi.org/10.1080/00224065.1975.11980683
  22. Plante, R. (2002), "Multivariate Tolerance Design for a Quadratic Design Parameter Model", IIE Transactions Vol. 734, pp. 565-571
  23. Riew, M.C. (1989), "Economic Selection of Specification Limits for a Given Target Value", Journal of the Korean Institute of Industrial Engineers Vol. 15, pp. 57-64
  24. Schmidt, R.L. and Pfeifer, P.E. (1991), "Economic Selection of the Mean and Upper Limit for a Canning Problem with Limited Capacity", Journal of Quality Technology Vol. 23, pp. 312-317 https://doi.org/10.1080/00224065.1991.11979347
  25. Tang, K. (1987), "Economic Design of a One- Sided Screening Procedure Using a Correlated Variable", Technometrics Vol. 29, pp. 477-485 https://doi.org/10.2307/1269460
  26. Tang, K. (1988), "Economic Design of Product Specifications for a Complete Inspection Plan", International Journal of Production Research Vol. 26, pp. 203-217 https://doi.org/10.1080/00207548808947854