Designing of Bayesian skip lot sampling plan-3 with single sampling plan indexed through quality region using MATLAB

2020 ◽  
Author(s):  
S. Jayalakshmi ◽  
P. K. Neena Krishna
Keyword(s):  
Sampling Plan ◽  
Single Sampling Plan

scholarly journals Design of Multiple Dependent State Sampling Plan Application for COVID-19 Data Using Exponentiated Weibull Distribution

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Srinivasa Rao Gadde ◽  
Arnold K. Fulment ◽  
Josephat K. Peter
Keyword(s):  
Weibull Distribution ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Sampling Plan ◽  
Exponentiated Weibull Distribution ◽  
Exponentiated Weibull ◽  
Single Sampling Plan ◽  
Truncated Life Test ◽  
Dependent State

The proposed sampling plan in this article is referred to as multiple dependent state (MDS) sampling plans, for rejecting a lot based on properties of the current and preceding lot sampled. The median life of the product for the proposed sampling plan is assured based on a time-truncated life test, when a lifetime of the product follows exponentiated Weibull distribution (EWD). For the proposed plan, optimal parameters such as the number of preceding lots required for deciding whether to accept or reject the current lot, sample size, and rejection and acceptance numbers are obtained by the approach of two points on the operating characteristic curve (OC curve). Tables are constructed for various combinations of consumer and producer’s risks for various shape parameters. The proposed MDS sampling plan for EWD is demonstrated using the coronavirus (COVID-19) outbreak in China. The performance of the proposed sampling plan is compared with the existing single-sampling plan (SSP) when the quality of the product follows EWD.

Exact Multi-attribute Acceptance Single Sampling Plan

2005 ◽  
Vol 33 (1) ◽  
pp. 165-180 ◽  
Author(s):  
M. P. Gadre ◽  
R. N. Rattihalli
Keyword(s):  
Sampling Plan ◽  
Single Sampling Plan

Chance Single Sampling Plan for Variables

2015 ◽  
Vol 4 (1) ◽  
pp. 43-59 ◽  
Author(s):  
Sampath Sundaram ◽  
Lalitha Singhan Madhavachari ◽  
Ramya Balu
Keyword(s):  
Mean Value ◽  
Sampling Plan ◽  
Sample Sizes ◽  
Chance Theory ◽  
Sampling Plans ◽  
Acceptance Threshold ◽  
Fuzzy Mean ◽  
Single Sampling Plan ◽  
Angle Criterion ◽  
Experimental Values

This paper considers the design of single sampling plan for variables when the experimental values are treated as observations on independently and identically distributed normal random variables with fuzzy mean value. The design makes use of Liu's (2008) model IV of Chance Theory. Sampling Plans determined by the sample sizes and acceptance numbers are constructed for situations involving imprecise parameter on using chance theory. The process of determining sample sizes and acceptance threshold values has been carried out on assuming the observed values have hybrid normal distribution. Optimal chance sampling plans for variables are also determined by using minimum angle criterion for different choices of fuzzy risks.

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