![Sample our Engineering & Technology journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5933/TOC-Subject-Sample-2021-Engineering-Tech.jpg"})
Abstract
In this paper, a modification is proposed on CSP-T continuous sampling plan, which was developed by Fordice [9]. The modified CSP-T continuous sampling plan is considered for which the rules concerning partial inspection depend, in part, on the length of time it takes to decide that the process quality is good enough so that 100% inspection may be suspended (e.g. the time required to find i consecutive items free of defects). The conventional measures of performance for continuous sampling plans such as average outgoing quality, average fraction inspected, probability of acceptance etc. are evaluated for this modified plan using a Markov chain model. Comparisons with other continuous sampling plans are presented. Tables are also presented for the selection the modified CSP-T plan when the AQL or LQL and AOQL are specified.
Additional information
Notes on contributors
S. Balamurali
S. Balamurali Research Professor in the Department of Industrial Engineering, Pohang University of Science and Technology (POSTECH). His research interests include acceptance sampling, statistical process control and analysis of means. His recent publications have appeared in the engineering and applied statistics journals.
Chi-Hyuck Jun
Chi-Hyuck Jun Professor in the Department of Industrial Engineering at POSTECH. His interests include statistical analysis of quality and reliability data, probability modeling, and statistical data mining. He is a member of the American Society of Quality and a member of the IEEE. His recent publications have appeared in the engineering and statistical/probabilistic literature including IIE Transactions, IEEE Transactions, and Queueing Systems.