Presenting a model for statistical process control in order to optimize efficiency and quality in manufacturing industries

Subject Areas : Industrial Management

abbas  morovvati ¹ (MA Student, Department of Industrial Management, Faculty of Management and Economics, Islamic Azad University, Science and Research Unit, Tehran, Iran)
Seyed Jalaledin  Hosseini Ghoncheh ² (Department of Mathematics, Islamic Azad University, Takestan branch, Takestan, Iran)
Hasan  Haleh ³ (Department of Industrial Management, Golpayegan Technical and Engineering Faculty, Isfahan University of Technology, Golpayegan, Iran)

Received: 2023-06-14 Accepted : 2023-09-04 Published : 2023-09-23

Keywords: Efficiency, Statistical Process Control, Clustering, Quality, manufacturing industries,

Abstract :

In this research, a combined statistical process control model is presented to identify factors affecting efficiency and quality in manufacturing and component manufacturing industries, and then controlling and optimizing these processes is considered. Manufacturing and component industries are considered as the main body of the country's industries for case study and implementation. Clustering techniques are used to discover factors affecting efficiency. And then using decision tree algorithms to predict efficiency and quality in these industries, and in the final stage, control charts of dispersion and average variables are used to draw control charts. The comparison table of the parameters is prepared by the output of the Clementine software, and RapidMiner software is used in the neural network section. The results obtained from the identification of influencing and forecasting factors are close to the target values from a technical point of view, and the control charts are consistent with the technical control limits of the characteristics and are useful for optimizing the target value, which is efficiency and quality.

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