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Inspection error and its effects on single sampling plans with fuzzy parameters

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Abstract

In this paper we have designed an acceptance single sampling plan with inspection errors when the fraction of defective items is a fuzzy number. We have shown that the operating characteristics curve of this plan is like a band having high and low bounds, its width depends on the ambiguity of proportion parameter in the lot when the samples size and acceptance numbers are fixed. A comparison of the single sampling plans with and without inspection errors was done to study the effects upon the characteristics. The results of this comparison show that in the sampling plan with inspection errors, there is a lower operating characteristics band in comparison to a sampling plan without inspection errors for good processing quality. We have also shown that the incorrect classification of a good item reduces the fuzzy probability of acceptance and incorrect classification of a defective item results in a higher fuzzy probability of acceptance.

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References

  • Beaing I, Case KE (1981) A wide variety of AOQ and ATI performance measures with and without inspection error. J Qual Technol 13(1):1–9

    Google Scholar 

  • Buckley JJ (2003) Fuzzy probability: new approach and application. Physica-Velage, Heidelberg, Germany

    MATH  Google Scholar 

  • Buckley JJ (2006) Fuzzy probability and statistics. Springer-Verlage Berlin, Heidelberg

    MATH  Google Scholar 

  • Case KE, Benett GK, Schmidt JW (1975) The effect on inspection error on average outgoing quality. J Qual Technol 7(1):28–33

    Google Scholar 

  • Chakraborty TK (1992) A class of single sampling plans based on fuzzy optimization. Opsearch 29(1):11–20

    MATH  Google Scholar 

  • Chakraborty TK (1994) Possibilistic parameter single sampling inspection plans. Opsearch 31(2):108–126

    MATH  MathSciNet  Google Scholar 

  • Chen CH, Chou CY (2003) Economic specification limits under the inspection error. J Chin Inst Ind Eng 20(1):9–12

    MathSciNet  Google Scholar 

  • Chen TT, Huang CP, Lien SY (2008) Dodge-Romig rectifying single sampling plans based on inspection error. In: Proceedings of international conference on business and information management, Linkou, Taipei County, Taiwan

  • Collins RD, Case KE, Bennett GK (1973) The effect of inspection errors in single sampling inspection plans. Int J Prod Res 11(3):289–298

    Article  Google Scholar 

  • Dorris AL, Foote BL (1978) Inspection errors and statistical quality control: a survey. AIIE Trans 10(2):184–192

    Google Scholar 

  • Duate BPM, Saraiva PM (2008) An optimization based approach for designing attribute acceptance sampling plans. Int J Qual Reliab Manage 25(8):824−841

    Article  Google Scholar 

  • Dubois D, Prade H (1978) Operations of fuzzy numbers. Int J Syst Sci 9(6):613−626

    Article  MATH  MathSciNet  Google Scholar 

  • Grzegorzewski P (1998) A soft design of acceptance sampling by attributes. In: Proceedings of the VIth international workshop on intelligent statistical quality control, Würzburg, 14–16 September, pp 29–38

  • Grzegorzewski P (2001) Acceptance sampling plans by attributes with fuzzy risks and quality levels. In: Wilrich PTh, Lenz H J (eds) Frontiers in statistical quality control, vol 6. Springer, Heidelberg, pp 36–46

    Google Scholar 

  • Hryniewisz O (1992) Statistical acceptance sampling with uncertain information from a sample and fuzzy quality criteria. Working paper of SRI PAS, Warsaw (in Polish)

  • Hryniewisz O (2008) Statistics with fuzzy data in statistical quality control. Soft Comput 12:229–234

    Article  Google Scholar 

  • Kanagawa A, Ohta H (1990) A design for single sampling attribute plan based on fuzzy sets theory. Fuzzy Sets Syst 37:173–181

    Article  MathSciNet  Google Scholar 

  • Montgomery DC (1991) Introduction to statistical quality control. Wiley, New York

    Google Scholar 

  • Ohta H, Ichihashi H (1998) Determination of single-sampling attribute plans based on membership function. Int J Prod Res 26:1477–1485

    Article  Google Scholar 

  • Sampath S (2009) Hybrid single sampling plan. World Appl Sci J 6(12):1685–1690

    Google Scholar 

  • Suich R (1990) The effects of inspection errors on acceptance sampling for nonconformities. J Qual Technol 22(4):314–318

    Google Scholar 

  • Tamaki F, Kanagawa A, Ohta H (1991) A fuzzy design of sampling inspection plans by attributes. Jpn J Fuzzy Theory Syst 3:315–327

    MathSciNet  Google Scholar 

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Acknowledgements

The authors would like to express their sincere thanks to the referees for their valuable comments and suggestions.

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Correspondence to Bahram Sadeghpour-Gildeh.

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Baloui Jamkhaneh, E., Sadeghpour-Gildeh, B. & Yari, G. Inspection error and its effects on single sampling plans with fuzzy parameters. Struct Multidisc Optim 43, 555–560 (2011). https://doi.org/10.1007/s00158-010-0579-6

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  • DOI: https://doi.org/10.1007/s00158-010-0579-6

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