الفهرس 
Traditional ModelsOnly 14 pages are availabe for public view
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Abstract
Since originated, control charts are used as an important tool for statistical process control. Economic design of control charts involves the determination of the sample size n, the time interval between samples h, and the width coefficient of the control limits k. Most of the models cited in the literature proposed designs for the control charts that can be used to maintain the current levels of the process quality. Weheba (1996) developed a proactive model that can be used to evaluate process improvement alternatives. However, he presented applications involving the economic design of single control charts. Depending on the nature of the changes made to the process, he proposed a proactive design of thex chart and another for the S chart. In practice, two charts are usually employed to monitor the process; one for monitoring changes in process mean; and the other for monitoring changes in process variation. Since the process may encounter changes that target a shift in the mean and a reduction of variation simultaneously, it is important to use the two charts jointly during continuous operation. In this research, the proactive design approach is extended to allow for the joint design of control charts. The resulting model is validated using simulation. Applications for the joint economic design ofx – R andx - S charts are presented to facilitate practical implementation.