Joint Decision Making Of Variable Sampling Interval Control Chart And Equipment Maintenance

In order to continuously cater to the personalized and diversified needs of the market and actively build the "quality powerhouse" strategy,manufacturing enterprises have increasingly focused on product quality.In modern manufacturing processes,statistical process control and equipment maintenance are effective methods for ensuring production process stability and improving system reliability.The former monitors the stability of the production process,timely detects abnormal quality fluctuations,and prevents the production of a large number of non-conforming products,leading to a huge cost for the enterprise.Abnormalities in the production process can reflect the hidden dangers of equipment.The latter uses reasonable maintenance methods to carry out corresponding maintenance operations on equipment with hidden dangers,timely preventing major equipment failures,and thereby improving the reliability of the production system.The two complement each other and jointly ensure the high-quality,stable,and low-cost operation of the production process.Although there have been many research achievements in the maintenance management of equipment,how to further improve the production efficiency of enterprises through in-depth analysis of the interdependence between quality and maintenance is still a problem worth studying.On the basis of considering the indirect feedback of equipment hazards caused by abnormal production processes,this article analyzes the correlation between statistical process control and equipment maintenance,and uses variable sampling interval control charts as a tool to monitor product quality fluctuations.A joint decision-making study of variable sampling interval control charts and equipment mainten ance is conducted.The main research content of this article is as follows:For a repairable single equipment system,firstly,by analyzing the correlation between maintenance management and statistical process control,a variable sampling interval control chart is used for sequential inspection of product quality.The corresponding relationship between product quality inspection results and maintenance activities is designed,and a joint strategy based on variable sampling interval control chart and maintenance is proposed.Based on this,a joint decision-making model between the two is constructed using the updated compensation theory.Secondly,in order to reduce production costs and improve the monitoring efficiency of control charts,taking into account the random occurrence of equipment failures during the production process,the detection interval of product quality is dynamically adjusted to detect process abnormalities as soon as possible.A variable sampling interval control chart is used for sequential detection of product quality.Based on this,a joint strategy of variable sampling interval control chart considering equipment failures and equipment maintenance is designed.According to this strategy,a joint decision model for variable sampling interval control chart and equipment maintenance is constructed using the update reward theory,with the objective function of minimizing the average cost rate.Finally,genetic algorithms were used to solve the two joint decision-making models constructed,verifying the feasibility and effectiveness of the models.The research in this article not only helps managers develop reasonable maintenance plans and quality control methods,but also provides reference for enterprises to design management plans that balance quality control and equipment maintenance.