Group Acceptance Sampling Plan for Resubmitted Lots: Size Biased Lomax Distribution

Economic Reliability Acceptance Sampling Plan for Generalized Rayleigh Distribution

In this paper, a reliability acceptance plan is developed assuming that the lifetime of a product follows the generalized Rayleigh distribution with known value of the shape parameter. We obtain test termination ratio by considering the producer’s risk for given values of the sample size and the acceptance number. A comparison of proposed sampling plan has been made with an existing acceptance ...

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

Acceptance Double Sampling Plan using Fuzzy Poisson Distribution

Abstract: All classical acceptance sampling plans were constructed with the proportion of defective that is crisp value. In the manufacturing processes, this parameter in a production lot may not be precis ely known. Hence it is meaningful to treat such parameter as fuzzy quantities. In this paper we have argued for the acceptance double sampling plan when the proportion of defective items is a...

Probabilistic Plan Verification through Acceptance Sampling

CIRCA is an architecture for real-time intelligent control. The CIRCA planner can generate plans that are guaranteed to maintain system safety, given certain timing constraints. To prove that its plans guarantee safety, CIRCA relies on formal verification methods. However, in many domains it is impossible to build 100% guaranteed safe plans, either because it requires more resources than availa...

A New Optimization Model for Designing Acceptance Sampling Plan Based on Run Length of Conforming Items

The purpose of this article is to present an optimization model for designing an acceptance sampling plan based on cumulative sum of run length of conforming items. The objective is to minimize the total loss including both the producer and consumer losses. The concept of minimum angle method is applied to consider producer and consumer risks in the optimization model. Also the average number o...