نوع مقاله : مقاله پژوهشی
نویسندگان
1 استادیار، گروه مهندسی صنایع، دانشگاه آزاد اسلامی واحد سنندج، سنندج، ایران
2 دانشجوی دکترا، گروه مدیریت صنعتی، دانشگاه آزاد اسلامی واحد سنندج، سنندج، ایران.
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Control charts are the most popular statistical process control tools for quickly discovering process changes. Among the univariate control charts, the 𝑋 ̅ control chart is more popular. In the economic and the economic-statistical design of control charts, constant and known values are often assumed for input parameters (cost and process parameters). In the real world, these parameters are not fully known and are unknown. The purpose of this paper is to present a simple model for the design of economic and economic-statistical robustness control charts using the Lorenzen and Vance cost model under multiple scenarios and then compare it with other robust economic and economic-statistical designs. The optimal values of the parameters are obtained by genetic algorithm. Comparison economic, robust economic, and robust economic-statistical designs shows that a weighted economic-statistical robustness design performs better than other robust designs. The proposed design is economically weaker, but its statistical performance is better than other robust designs. In addition, it is much easier to use in practice than other methods.
کلیدواژهها [English]