3점 견적법으로 사전정보가 주어졌을 경우 품질검사 정보가치 결정 방법론

Abstract

When a product quality inspection is performed in a production field, it is inevitable to make a mistake in judging a defective and defect-free products, ultimately causing a defect rate to involve some degree of error. Considering the error rage of the defect rate, this paper is concerned with calculating a value of information obtained in the inspection implementation phase under which a prior is specified with 3-point estimates. These 3-point estimates are provided for the prior information and transformed into the beta prior probability distribution. With these probability information, we will calculate the expected values of perfect and sampling information which requires a Bayesian revision process, and set those to the criterion to identify whether or not the current inspection cost is adequately spent. It is believed that the criterion will play an effective role in improving the efficiency of the inspection activity in the production field and setting up the budget regarding to the activity when used together with other quality control program such an economic control chart and minimum sampling size. For an understanding of the procedure suggested in the paper, we will present a hypothetical short numeral example which was taken from the existing.