Mathematical model of data analysis of service requests and complaints at an enterprise

Purpose of research : improving the efficiency and control of production processes by identifying potential risks of incidents and product defects during post-production stage. Methods. This article examines the analysis of service requests and complaints automated processing at an enterprise. This process includes the analysis of incoming data on product incidents and defects and the search for causeand-effect relationships with production processes at various stages of the product life cycle. Requests about defects and product incidents are pre-registered in the unified database through the CRM-system and are available for further analysis. To carry out the research, a mathematical model for analyzing service requests and complaints using factor analysis was developed. Results. Based on the mathematical model, a practical analysis of the enterprise's data was carried out and the main factors have been identified. The calculations were performed using the STATISTICA data processing package. The physical interpretation of the obtained factors makes it possible to explain the cause of incidents and defects, provide an expert opinion and to take measures on further production processes adjustments. The practical application of the developed mathematical model is carried out as the software module, which is implemented into the CRM system at an enterprise as an additional component for automated data processing. Conclusion. The pre-prepared data of service requests and complaints is sent from the CRM system for analysis. The developed software module performs an automated analysis of the received data. The results of the analysis are physically interpreted and used to make management decisions at the enterprise, which allows regular monitoring of current production processes of the enterprise and make appropriate adjustments to improve the efficiency of production processes.