Single Acceptance Sampling Plan Based on Truncated Life Tests for Zubair-Exponential 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...

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

Time Truncated Sampling Plan under Hybrid Exponential Distribution

The design of acceptance sampling plans for hybrid exponential distribution under a truncated life test is considered in this paper. In this work, experimental values are treated as observed values of exponential random variables whose mean is assumed to be a fuzzy variable in the sense of Liu [25]. A new chance distribution called hybrid exponential distribution is considered in this paper and...

Acceptance sampling based on truncated life tests in the Birnbaum Saunders model.

We develop acceptance sampling plans assuming that the life test is truncated at a preassigned time. The lifetimes of the test units are assumed to follow the Birnbaum Saunders distribution. The minimum sample size necessary to ensure the specified average life is obtained and the operating characteristic values of the sampling plans and producer's risk are presented. An illustrative example is...

Designing a Single Stage Acceptance Sampling Plan Based on the Control Threshold Poli

 In this research, a new control policy for the acceptance sampling problem is introduced. Decision is made based on the number of defectives items in an inspected batch. The objective of the model is to find a constant control level that minimizes the total costs, including the cost of rejecting the batch, the cost of inspection and the cost of defective items. The optimization is performed by...