A Nonparametric GA-GWMA Sign Chart for Green SCM Optimization

摘要

This study presents a novel design of the nonparametric generally weighted moving average (GWMA) sign chart with dynamic genetic algorithm (GA) optimizer applied in green supply chain management (GSCM) to upgrade customers satisfaction of suppliers' production stabilities. In recent years, nonparametric control charts hold a significant place among statistical process control charts. Some researchers have developed various nonparametric control charts and investigated the detection capabilities of these charts. The major advantage of these control charts is that the underlying process does not specifically assume normality or any parametric distribution. Simulation studies show that the nonparametric GWMA sign chart is not flexible but can improve the detection capability in small process shifts.