Advertisement

A Markovian approach to determining optimum process means with inspection sampling plan in serial production systems

  • Chien-Yi PengEmail author
  • Mohammad T. Khasawneh
ORIGINAL ARTICLE

Abstract

This paper develops Markovian-based models for determining the optimum process means with the consideration of an acceptance sampling plan in a serial production system. This paper studies a production system where products are produced continuously with specified lower and upper specification limits for each stage in the production system for quality assurance purposes. Considering the inherent variability in production processes, the quality characteristic(s) of a product might fall below the lower specification limit, resulting in scrap cost, or above the upper specification limit, resulting in rework costs. To study the dynamics of this problem, this paper first develops a Markovian-based model for the optimum process target level for a single quality characteristic assuming a single sampling inspection plan for both a single- and a two-stage production system. Then, the proposed model is extended for dual quality characteristics that are dependent for single- and two-stage production systems. Numerical examples and sensitivity analysis are performed to investigate the effect of different system parameters on the expected profit and optimum process means. The results showed that both single- and two-stage production systems have convex function for the expected profit. In addition, the results showed that the optimum process means are slightly larger than the average of the specification limits. Finally, the correlation between the quality characteristics affects the expected profit significantly.

Keywords

Optimum process mean Markov chain Dual quality characteristics Sampling plans Two-stage serial production system 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bowling SR, Khasawneh MT, Kaewkuekool S, Cho BR (2004) A Markovian approach to determining optimum process target levels for a multi-stage serial production system. Eur J Oper Res 159:636–650MathSciNetCrossRefGoogle Scholar
  2. 2.
    Lee MK, Elsayed EA (2002) Process mean and screening limits for filling processes under two-stage screening procedure. Eur J Oper Res 138:118–126MathSciNetCrossRefGoogle Scholar
  3. 3.
    Chen CH, Chou CY (2003) Determining the optimum process mean under bivariate quality characteristics. Int J Adv Manuf Technol 21:193–195CrossRefGoogle Scholar
  4. 4.
    Chan WM, Ibrahim RN (2004) Evaluating the quality level of a product with multiple quality characteristics. Int J Adv Manuf Technol 24:738–742CrossRefGoogle Scholar
  5. 5.
    Chan WM, Ibrahim RN, Lochert PB (2005) Evaluating the product quality level under multiple L-type quality characteristics. Int J Adv Manuf Technol 27:90–95CrossRefGoogle Scholar
  6. 6.
    Shao YE, Fowler JW, Runger GC (2005) A note on determining an optimum target by considering the dependence of holding costs and the quality characteristics. J Appl Stat 32:813–822MathSciNetCrossRefGoogle Scholar
  7. 7.
    Teeravaraprug J (2005) Determining optimum process mean of two-market products. Int J Adv Manuf Technol 25:1248–1253CrossRefGoogle Scholar
  8. 8.
    Khasawneh MT, Bowling SR, Cho BR (2008) A Markovian approach to determining optimum process means with dual quality characteristics in a multi-stage production system. J Syst Sci Syst Eng 17:66–85CrossRefGoogle Scholar
  9. 9.
    Duffuaa SO, Al-Turki UM, Kolus AA (2009) Process-targeting model for a product with two dependent quality characteristics using acceptance sampling plans. Int J Prod Res 47:4031–4046CrossRefGoogle Scholar
  10. 10.
    Selim SZ, Al-Zu’bi WK (2011) Optimum means for continuous processes in series. Eur J Oper Res 210:618–623CrossRefGoogle Scholar
  11. 11.
    Springer CH (1951) A method for determining the most economic position of a process mean. Ind Qual Control 8:36–39Google Scholar
  12. 12.
    Bettes DC (1962) Finding an optimum target value in relation to a fixed lower limit and an arbitrary upper limit. Appl Stat 11:202–210CrossRefGoogle Scholar
  13. 13.
    Hunter WG, Kartha CP (1977) Determining the most profitable target value for a production process. J Qual Technol 9:176–181CrossRefGoogle Scholar
  14. 14.
    Bisgaard S, Hunter WG, Pallesen L (1984) Economic selection of quality of manufactured product. Technometrics 26:9–18zbMATHGoogle Scholar
  15. 15.
    Golhar DY (1987) Determination of the best mean contents for a canning problem. J Qual Technol 19:82–84CrossRefGoogle Scholar
  16. 16.
    Vidal RV (1988) A graphical method to select the optimum target value of a process. Eng Optim 13:285–291CrossRefGoogle Scholar
  17. 17.
    Arcelus FJ, Rahim MA (1990) Optimum process levels for the joint control of variables and attributes. Eur J Oper Res 45:224–230CrossRefGoogle Scholar
  18. 18.
    Boucher TO, Jafari MA (1991) The optimum target value for single filling operations with quality plans. J Qual Technol 23:44–47CrossRefGoogle Scholar
  19. 19.
    Elsayed EA, Chen A (1993) Optimum levels of process parameters for products with multiple characteristics. Int J Prod Res 31:1117–1132CrossRefGoogle Scholar
  20. 20.
    Al-Sultan KS (1994) An algorithm for determination of the optimum target values for two machines in series with quality sampling plan. Int J Prod Res 32:37–45CrossRefGoogle Scholar
  21. 21.
    Chen S, Chung K (1996) Selection of the optimum precision level and target value for a production process: The lower specification-limit case. IIE Trans 28:979–985CrossRefGoogle Scholar
  22. 22.
    Liu W, Raghavachari M (1997) The target mean problem for an arbitrary quality characteristic distribution. Int J Prod Res 35:1713–1727CrossRefGoogle Scholar
  23. 23.
    Al-Sultan KS, Pulak MFS (2000) Optimum target values for two machines in series with 100 % inspection. Eur J Oper Res 120:181–189CrossRefGoogle Scholar
  24. 24.
    Al-Fawzan MA, Rahim MA (2001) Optimum control of deteriorating process with a quadratic loss function. Int J Qual Reliab Eng 17:459–466CrossRefGoogle Scholar
  25. 25.
    Cho BR (2002) Optimum process target for two quality characteristics using regression analysis. Qual Eng 15:37–47CrossRefGoogle Scholar
  26. 26.
    Teeravaraprug J, Cho BR (2002) Designing the optimum process target levels for multiple quality characteristics. Int J Prod Res 40:37–54CrossRefGoogle Scholar
  27. 27.
    Moroni G, Petrò S (2014) Optimal inspection strategy planning for geometric tolerance verification. Precis Eng 38:71–81CrossRefGoogle Scholar
  28. 28.
    Montgomery DC (1991) Introduction to statistical quality control, 2nd edn. Wiley, New YorkzbMATHGoogle Scholar

Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  1. 1.State University of New York at BinghamtonBinghamtonUSA

Personalised recommendations