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The Modified Pulak and Al-Sultan's Model for Determining the Optimum Process Parameters
Authors:Chung-Ho Chen
Affiliation:1. Department of Management and Information Technology , Southern Taiwan University of Technology , Tainan , Taiwan chench@mail.stut.edu.tw
Abstract:Economic selection of process parameters has been an important topic in modern statistical process control. The optimum process parameters setting have a major effect on the expected profit/cost per item. There are some concerns on the problem of setting process parameters. Boucher and Jafari (1991 Boucher , T. O. , Jafari , M. A. ( 1991 ). The optimum target value for single filling operations with quality sampling plans . J. Qual. Technol. 23 : 4447 . [CSA] [Taylor & Francis Online], [Web of Science ®] [Google Scholar]) first considered the attribute single sampling plan applied in the selection of process target. Pulak and Al-Sultan (1996 Pulak , M. F. S. , Al-Sultan , K. S. ( 1996 ). The optimum targeting for a single filling operation with rectifying inspection . Omega 24 : 727733 . [CSA] [CROSSREF] [Crossref], [Web of Science ®] [Google Scholar]) extended Boucher and Jafari's model and presented the rectifying inspection plan for determining the optimum process mean. In this article, we further propose a modified Pulak and Al-Sultan model for determining the optimum process mean and standard deviation under the rectifying inspection plan with the average outgoing quality limit (AOQL) protection. Taguchi's (1986 Taguchi , G. ( 1986 ). Introduction to Quality Engineering . Asian Productivity Organization . [Google Scholar]) symmetric quadratic quality loss function is adopted for evaluating the product quality. By solving the modified model, we can obtain the optimum process parameters with the maximum expected profit per item and the specified quality level can be reached.
Keywords:Average outgoing quality limit (AOQL)  Process optimization  Rectifying inspection plan  Symmetric quadratic quality loss function
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