Optimum Process Mean Setting Based on Bivariate Quality Loss Function

Recently, Bowling et al. presented the problem of setting the optimum process mean for a multi-stage serial production system. Their model is based on the maximum of the expected profit per item for determining the optimum process mean. However, they did not take into account the quality cost for the work-in-process and the finished product within the specification limits. In fact, the quality characteristic of the former has a major effect on that of the latter. Hence, the quality characteristics between the work-in-process product and the finished product are dependent. In this paper, we propose a modified Bowling et al.'s model by considering the quality cost for the work-in-process and finished product based on the bivariate quality loss function. The nominal-is-best bivariate quality loss function is applied in evaluating the product quality and formulating the modified model. Finally, the sensitivity analyses of parameters are provided for illustration.

並列關鍵字

Multi-Stage Serial Production System ； Process Mean ； Bivariate Quality Loss Function

國際替代計量

全文下載

主題瀏覽