Repetitive group sampling plan based on the process capability index for the lot acceptance problem

• Published in: Journal of statistical computation and simulation Vol. 87; no. 1; pp. 29 - 41
• Main Authors: Fallah Nezhad, Mohammad Saber, Seifi, Sina
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis Ltd 02-01-2017
• Subjects: Acceptance; Adhesion; Consistency; Inspection; Mathematical models; Optimization; Sampling; Sampling techniques; Statistical process control
• ISSN: 0094-9655; 1563-5163
• DOI: 10.1080/00949655.2016.1189553

An acceptance sampling plan is a method used to make a decision about acceptance or rejection of a product, based on adherence to a standard. Meanwhile, process capability indices (PCIs) have been applied in different manufacturing industries as capability measures based on specified criteria which include process departure from a target, process consistency, process yield and process loss. In this paper, a repetitive group sampling (RGS) plan based on PCI is introduced for variables' inspection. First, the optimal parameters of the developed RGS plan are obtained considering constraints related to the risk of consumers and producers and also a double sampling plan, a multiple dependent state sampling plan and a sampling plan for resubmitted lots have been designed. Finally, after the development of variable sampling plans based on the Bayesian and exact approach, a comparison study has been performed between the developed RGS plan and other types of sampling plans and the results are elaborated.