Group Acceptance Sampling Plans for Life Tests Based on Half Normal Distribution

Double Acceptance Sampling Plans Based on Truncated Life Tests for Marshall-Olkin Extended Lomax Distribution

Double Acceptance Sampling Plans Based on Truncated Life Tests for the Marshall-Olkin Extended Exponential Distribution

In this paper, double acceptance sampling plans are developed for a truncated life test, when the lifetime of an item follows the Marshall-Olkin extended exponential distribution. The probability of acceptance is calculated for different consumer’s confidence levels fixing the producer’s risk at 0.05. The probability of acceptance and the producer’s risk are explained by means of examples. Zusa...

A Hybrid Group Acceptance Sampling Plans for Lifetimes Based on Log-logistic Distribution

In this paper, a hybrid group acceptance sampling plan is developed for a truncated life test when the lifetime of an item follows log-logistic distribution. The minimum number of testers and acceptance number are determined when the consumer’s risk and the test termination time and group size are specified. The operating characteristic values according to various quality levels are found and t...

Title : Design of Reliability Acceptance Sampling Plans Based on Accelerated Degradation Tests Design of Reliability Acceptance Sampling Plans Based on Accelerated Degradation Tests

Reliability acceptance sampling plans (RASPs) are used to determine the acceptability of a collection of units (e.g., a lot) with respect to lifetime. Most of the previous works on RASPs assume that life tests are conducted at the use or accelerated conditions. For high-reliability units, however, adopting life tests may easily turn out to be impractical in terms of the sample size and the amou...

N ov 2 01 5 Acceptance sampling plans for inverse Weibull distribution based on truncated life test

In this paper, we develop double acceptance sampling plan and group acceptance sampling plan for an inverse Weibull distribution based on a truncated life test. We consider the median lifetime of the test units as a quality parameter and obtain the design parameters such as sample size and acceptance number. These plans are obtained under the consumer’s risk and the producer’s risk simultaneous...