Repetitive group sampling procedure for variables inspection
By S. Balamurali, Chi-Hyuck Jun. 2006
208 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Mechanical Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/ba6cb52280eb2e69c5377c261da1f52e06c65de9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
In Mechanical Engineering
In Statistics and Probability
- Muhammad Aslam
- S. Seifi
- M. S. Fallah Nezhad
- Muhammad Azam
- Chi-Hyuck Jun
- Chien-Wei Wu
- Negrin Itay
- Ching-Ho Yen
Citations in the corpus
- Developing a variables repetitive group sampling plan based on process capability index C pk with unknown mean and variance (2013, methodology): “Balamurali and Jun [14] extended the concept of RGS to variables inspection for a normally distributed quality characteristic.”
- A group acceptance sampling plan for truncated life test having Weibull distribution (2009, methodology): “[5], and Balamurali and Jun [4] used the two-point approach in designing variables acceptance sampling plans to control fraction non-conforming.”
- Repetitive group sampling plan based on the process capability index for the lot acceptance problem (2017, methodology): “(6) Therefore, based on themodel of Balamurali and Jun,[19] considering limiting quality level (LQL) and acceptable quality level (AQL) quality levels and the producer risk, α, and consumer risk, β , the following constraints can be obtained: b = b1 ⇒ C = CAQL ⇒ Pr(Ĉpmk ≥ k2) 1 − Pr(Ĉpmk ≥ k1) + P”
- Variable repetitive group sampling plans with process loss consideration (2011, background): “(6) According to Balamurali and Jun [12], the probability of lot acceptance for the repetitive group sampling is given by A(Le) = Pa Pa + Pr .”
- Repetitive acceptance sampling plans for burr type XII percentiles (2013, background): “Balamurali and Jun [13] studied a variable RGASP for the normal distribution, and compared their proposed RGASP with the single acceptance sampling plan for the normal distribution.”