Acceptance Single Sampling Plan with Fuzzy Parameter with The Using of Poisson Distribution
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Acceptance Single Sampling Plan with Fuzzy Parameter with The Using of Poisson Distribution

Authors: Ezzatallah Baloui Jamkhaneh, Bahram Sadeghpour-Gildeh, Gholamhossein Yari

Abstract:

This purpose of this paper is to present the acceptance single sampling plan when the fraction of nonconforming items is a fuzzy number and being modeled based on the fuzzy Poisson distribution. We have shown that the operating characteristic (oc) curves of the plan is like a band having a high and low bounds whose width depends on the ambiguity proportion parameter in the lot when that sample size and acceptance numbers is fixed. Finally we completed discuss opinion by a numerical example. And then we compared the oc bands of using of binomial with the oc bands of using of Poisson distribution.

Keywords: Statistical quality control, acceptance single sampling, fuzzy number.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1083097

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References:


[1] J. J. Buckley (2003) fuzzy probability: new approach and application, physica-velage, Hidelberg ,Germany.
[2] J.J. Buckley (2006) fuzzy probability and statistics, springer-verlage Berlin Hidelberg.
[3] D. Dubis , H. Prade (1978) Operations of fuzzy number, Int. J. syst.
[4] B.P.M. Duate, P.M. Saraiva, "An optimization basd approach for designing attribute acceptance sampling plans, " Int. journal of quality & reliability management.vol. 25 no. 8,2008.
[5] P. Grzegorzewski(1988) A soft design of acceptance sampling by attributes, in: proceedings of the VIth international workshop on intelligent statistical quality control Wurzburg, September 14-16 , PP.29-38.
[6] P. Grzegorzewski (2001 b) Acceptance sampling plans by attributes with fuzzy risks and quality levels, in: Frontiers in frontiers in statistical quality control. Vol. 6, Eds. Wilrich P. Th. Lenz H. J. Springer, Heidelberg, PP. 36-46.
[7] P. Grzegorzewski (2002) A soft design of acceptance sampling plans by variables, in: technologies for contrueting intelligent systems, Eds, speringer, vol. 2. pp. 275-286.
[8] O. Hryniewisz (1992) statistical acceptance sampling with uncertain information from a sample and fuzzy quality criteria working paper of SRI PAS, Warsow, (in polish).
[9] A. Kanagawa,H. Ohta (1990), A design for single sampling attribute plan based on fuzzy set theory, fuzzy sets and systems, 37. 173-181.
[10] D. C. Montgomery (1991), introduction to statistical quality control, wiley New york.
[11] H. Ohta ,H. Ichihashi (1998), Determination of single-sampling attribute plans based on membership function, Int. J. Prod, Res 26, 1477-1485.
[12] J. L. Romeu, Understanding binomial sequential testing, Rac start, Volume 12, Number 2.
[13] E.G. Schiling (1982), acceptance sampling quality control, Dekker, Newyork.
[14] F. Tamaki , A. Kanagawa, Ohta H. (1991), A fuzzy design of sampling inspection plans by attributes, Japanese journal of fuzzy theory and systems, 3, 315-327