Document Type : Research Paper
Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Industrial Engineering Department, Shahed University, Tehran, Iran
Industrial Engineering Department, Islamic Azad University, Science and Research Branch, Tehran, Iran
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.