Statistical process control holds significant importance in the construction and manufacturing industry. Through a comprehensive study of control charts, the implementation methods of runs rules schemes and their application to various types of control charts have been examined, particularly charts utilized for monitoring fraction nonconforming ratios. Additionally, this thesis proposes an progressive mean (PM) control chart for monitoring variations in fraction nonconforming ratios. To eva‎luate and compare the proposed chart with competitors, various features such as the ARL and SDRL are employed. The methodology of runs rules schemes in different control charts is explored, and the impact of the number of decision points on the effectiveness of rule implementation is discussed. Subsequently, by presenting examples of seal assemblies, the application and performance of the progressive mean control chart in detecting sustained process abnormalities are elucidated. Investigations demonstrate the effectiveness of these methods in detecting nonconforming points in processes.

ساره گلي فروشاني , حامد لروند

مريم كلكين نما , زهرا صابري