Author/Authors :
Yu,,Shucheng School of Management - Shanghai University, China , Wan, Qiang School of Business Administration South China University of Technology , China , Wei, Zhenghong School of Mathematic and Statistic - Shenzhen University , China , Tang, Tianbo School of Management - Shanghai University, China
Abstract :
An improved synthetic control chart based on hybrid adaptive scheme and run rule scheme is introduced to enhance the statistical performance of traditional synthetic control chart on service and management operation. The proposed scientific hybrid adaptive schemes consider both variable sampling interval and variable sample size scheme. The properties of the proposed chart are obtained using Markov chain approach. An extensive set of numerical results is presented to test the effectiveness of the proposed model in detecting small and moderate shifts in the process mean. The results show that the proposed chart is quicker than the standard synthetic chart and CUSUM chart in detecting small and moderate shifts in the process of service and management operation.
