efficient selection of design parameters in multi-objective economic-statistical model of attribute c control chart

control chart is the most well-known chart to monitor the number of nonconformities per inspection unit where each sample consists of constant size. generally, the design of a control chart requires determination of sample size, sampling interval, and control limits width. optimally selecting these parameters depends on several process parameters, which have been considered from statistical and/or economic aspects in the literature. this study presents a multi-objective economic-statistical design (moesd) of the c control chart. an algorithm using data envelopment analysis (dea) is employed to solve this model. a numerical example is used to illustrate the algorithm procedure.