Acceptance sampling (AS), as one of the main fields of statistical quality control (SQC),involves a system of principles and methods to make decisions about accepting or rejecting alot or sample. For attributes, the design of a single AS plan generally requires determination ofsample size, and acceptance number. Numerous approaches have been developed foroptimally selection of design parameters...

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...

In this paper, we introduce a new sampling plan based on the defective proportion of batch. The proposed sampling plan is based on the distribution function of the proportion defective. A continuous loss function is used to quantify deviations between the proportion defective and its acceptance quality level (AQL).  For practical purpose, a sensitivity analysis is carried out on the different v...

Abstract In conventional sampling plans, the rate of fraction faulty items is supposed and fixed, but in some practical situations, this value not fixed fuzzy. To attain real flexible value, we used transmuted Weibull distribution a fuzzy environment. Fuzzy based on set theory. According to our investigation, acceptance The improvement research evaluate vague portion malfunctioning ( $$\tilde{p...

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 ...

This paper proposes a multiple dependent (or deferred) state sampling plan by variables for the inspection of normally distributed quality characteristics. The decision upon the acceptance of the lot is based on the states of the preceding lots (dependent state plan) or on the states of the forthcoming lots (deferred state plan). The lot acceptance probability is derived and the two-point appro...