Bayesian Inspection Models for Multiple-Component Products

• Main Authors: Jin-Pyng Chen, 陳金平
• Other Authors: Chiuh-Cheng Chyu
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/00297095754322608901

碩士 === 元智大學 === 工業工程研究所 === 82 === In the thesis,we propose two Bayesian rectifying inspection and attribute sampling models for a product containing two distinct importanat items. The functional states of items in a lot are assumed statistically exchangeable. Study on the case of single item has been often,but almost none is with regard to the case of two distinct items. In the first model samples of two lots are taken simultaneously while in the second model samples from one lot are taken first and after the observations, a size of samples of the other lot is determined. For both models, an action is taken with respect to the two lots after observing sampling outcomes,either to accept the remaninig items of the lots or to inspect all of them. The objective functions of both models are to minimize the expected total cost. In the research, influence diagrams are used as a tool to derive the total objective functions of the models. The first model is better in time-consuming while the second one is better in cost- consuming. The functions are also analyzed so as to make the problems feasible on computations.Several experimental results of the two models are presented and discussed.