3篇
您的检索式：作者名="Nazrina Aziz"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Designing Bayesian Two-Sided Group Chain Sampling Plan for Gamma Prior Distribution显示文摘Acceptance sampling is used to decide either the whole lot will be accepted or rejected,based on inspection of randomly sampled items from the same lot.As an alternative to traditional sampling plans,it is possible to use Baye-sian approaches using previous knowledge on process variation.This study pre-sents a Bayesian two-sided group chain sampling plan(BTSGChSP)by using various combinations of design parameters.In BTSGChSP,inspection is based on preceding as well as succeeding lots.Poisson function is used to derive the probability of lot acceptance based on defective and non-defective products.Gamma distribution is considered as a suitable prior for Poisson distribution.Four quality regions are found,namely:(i)quality decision region(QDR),(ii)probabil-istic quality region(PQR),(iii)limiting quality region(LQR)and(iv)indifference quality region(IQR).Producer’s risk and consumer’s risk are considered to esti-mate the quality regions,where acceptable quality level(AQL)is associated with producer’s risk and limiting quality level(LQL)is associated with consumer’s risk.Moreover,AQL and LQL are used in the selection of design parameters for BTSGChSP.The values based on all possible combinations of design parameters for BTSGChSP are presented and inflection points’values are found.Thefinding exposes that BTSGChSP is a better substitute for the existing plan for industrial practitioners. | Waqar Hafeez Nazrina Aziz | 2023 | Computer Systems Science & Engineering2023，44，2： | 0 |
| 2 | Bayesian Group Chain Sampling Plan for Poisson Distribution with Gamma Prior显示文摘Acceptance sampling is a statistical quality control technique that consists of procedures for sentencing one or more incoming lots of finished products.Acceptance or rejection is based on the inspection of sampled products drawn randomly from the lot.The theory of previous acceptance sampling was built upon the assumption that the process from which the lots are produced is stable and the process fraction nonconforming is a constant.Process variability is inevitable due to random fluctuations,which may inadvertently lead to quality variation.As an alternative to traditional sampling plans,Bayesian approach can be used by considering prior information of the process.Using different combinations of design parameters,this study introduces a Bayesian group chain sampling plan(BGChSP).For the first time in group chain sampling plan,the probability of lot acceptance is derived by using Poisson distribution to estimate an average number of defectives.Gamma distribution is used as a prior distribution with Poisson distribution.Taking into account both consumer’s and producer’s risks,this research considers two quality regions namely,probabilistic quality region(PQR)and indifference quality region(IQR).By minimizing consumer’s and producer’s risks,BGChSP can be used to minimize the average number of defective products in industry. | Waqar Hafeez Nazrina Aziz Zakiyah Zain Nur Azulia Kamarudin | 2022 | Computers, Materials & Continua2022，，2： | 0 |
| 3 | Designing Bayesian New Group Chain Sampling Plan For Quality Regions显示文摘Acceptance sampling is a well-established statistical technique in quality assurance.Acceptance sampling is used to decide,acceptance or rejection of a lot based on the inspection of its random sample.Experts concur that the Bayesian approach is the best approach to make a correct decision,when historical knowledge is available.This paper suggests a Bayesian new group chain sampling plan(BNGChSP)to estimate average probability of acceptance.Binomial distribution function is used to differentiate between defective and non-defective products.Beta distribution is considered as a suitable prior distribution.Derivation is completed for the estimation of the average proportion of defectives.This study includes four quality regions namely:(i)probabilistic quality region(PQR),(ii)quality decision region(QDR),(iii)limiting quality region(LQR),and(iv)indifference quality region(IQR).The estimated values for the BNGChSPare tabulated and the inflection point values are derived,based on different combinations of design parameters including both consumer’s and producer’s risks.For comparison with the existing plan,the operating characteristic curves expose that BNGChSP is a better substitute for industrial practitioners. | Waqar Hafeez Nazrina Aziz Zakiyah Zain Nur Azulia Kamarudin | 2022 | Computers, Materials & Continua2022，，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员