Model and Methodology for Optimal Equipment Setting for Monitoring and Verification of Enterprises of the Automotive Cluster

Abstract

Purpose of research. To develop a classifier of control and verification equipment, to propose a model of a set of control and verification equipment, as well as a methodology for forming an optimal set of control and verification equipment to ensure the effective functioning of an organizational and technological system for providing mechanical assembly based on threaded connections of an automated assembly process control system at automotive cluster enterprises.Methods. Calibration equipment set in the assembly production organizational and technological system based on thread joints of the automated assembly process control system at the enterprises of the automotive cluster is presented in the work on the basis of a set-theoretic approach. Set-theoretic models are used to describe the calibration equipment set. The method of hierarchical classification became the basis for the development of models. Formalization of the decision-making process on the formation of calibration equipment set is based on the methods of decision theory. Separate elements of the methodology are based on the use of methods of mathematical analysis.Results. A set-theoretic model of the calibration equipment set is proposed. A classifier of calibration equipment is proposed. The technique of making a decision on the formation of calibration equipment set is described. The technique takes into account the actual load on the sensors for measuring the torque and allowing optimize the cost of calibration equipment purchasing. The cost savings from the use of the developed models, classifiers, methods and algorithms for production technological preparation and for equipment purchasing are calculated. The application of the developed models, classifiers, methods and algorithms in the conditions of an automotive cluster enterprise shows a significant reduction in the labor intensity of technological preparation of production, as well as significant savings in financial costs for the purchase of calibration equipment set.Conclusion. The developed classifier, model and methodology for the formation of an optimal calibration equipment set make it possible to simplify managerial work at an automotive cluster enterprise and solve the problem of optimal control of calibration equipment subsystem, which is part of assembly production organizational and technological system based on thread joints of the automated assembly process control system at the enterprises of the automotive cluster.