Reliability acceptance sampling plan for degraded products subject to Wiener process with unit heterogeneity

Impact of Inspection Error of an Economic Production Quantity Model with Acceptance Sampling, Defective Items, and Rework

“…Jaber and Khan [18] considered an economic order quantity model in which items are misclassified at fixed rates based on quality and imperfect screening imperfections. Zheng et al [19] discussed that after describing the average deterioration rate, the likelihood ratio sequence, and the monotonicity of the average failure time in the average deterioration rate, the original acceptance test is used as an acceptance index to simplify the problem successfully. Cheng et al [20] developed a new approach that allows consumers to examine the product's operational reliability indicators without needlessly rejecting unreliable samples, which provides a higher chance of product acceptance than traditional acceptance sampling schemes.…”

The Evolution of Quality Management: A Tribute to 50 Notable Contributors

“…Edwards was instrumental in the development of control charts, which are graphical representations of a process's performance over time that allow for the detection of unusual or unexpected variations. He also worked on other statistical techniques for quality control, including acceptance sampling plans and the use of sampling to estimate the proportion of defective products in a batch (ZHENG et al, 2023). In addition to his work at Western Electric, Edwards was a longtime member of the American Society for Quality Control (ASQC) and served as its 1 st president in 1946.…”

Bayesian Fusion of Degradation and Failure Time Data for Reliability Assessment of Industrial Equipment Considering Individual Differences

“…Wang et al [49] proposed a Wiener-process-based reliability analysis method for accelerated degradation data, tailored for small samples and including unit variability testing. Zheng et al [50] introduced an optimal acceptance sampling plan design for degraded products subjected to a Wiener process, optimizing test time and sample size while simplifying acceptance testing with the average degradation rate index. Yan et al [51] offered a Wiener process model for left-truncated degradation data, incorporating random drift diffusion effects for precise RUL prediction and validated in practical applications.…”