A Manager Confidence Oriented Design Scheme of Control Charts
Manufacturing is a process of realization of products. Product reliability, durability and other characteristics are determined hi manufacturing and will degenerate because of process variation. Statistical process control charts have been an effective tool to help alarm process shifts. A proper design scheme is important because poor parameters will lead to poor power of control charts which will greatly affect manager confidence on SPC monitoring. In most economic design schemes, the control chart parameters are chosen in such a fashion that the expected cost of monitoring is minimized. Though there have been plenty literatures, few applications of economic designed control charts could be found hi practice. One barrier is that managers have low confidence on the designed parameter. Usually only minimizing the expectation of cost does not reflect the manager preference sufficiently. Risk aversion exists whilst exposed to uncertainty of cost, Also false alarms make control charts mistrustful. In this paper, oriented to building up manager confidence, the design scheme is reconsidered. A multi-criteria decision making model with objectives of low cost, low risk and low frequency of false alarms is proposed to conduct the new design scheme. Pareto optimality and data envelopment analysis technique are applied to aid making decision. Cases are established to illustrate the validity of this new scheme.
Manufacturing reliability data envelopment analysis economic design of control chart frequency of false alarms multi-criteria decision making risk aversion
Kai Mi Yihai He Chunhui Wu
School of Reliability and Systems Engineering Beijing University of Aeronautics and Astronautics, BUAA Beijing, China
国际会议
贵阳
英文
1077-1081
2011-06-12（万方平台首次上网日期，不代表论文的发表时间）