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POSSIBILITIES OF JOINT USE OF QUALITY MANAGEMENT METHODS AT TECHNICAL SERVICE ENTERPRISES

The enterprise needs to organize its activities so that at a sufficiently high level of quality of products to reduce the cost of quality. Here, quality management measures are needed, with the first use of seven classical tools, then applying statistical methods of quality control.

Enterprises have large costs of control and correction, while costs for the prevention of defects are almost not traced in the total costs. The costs of control can be optimized with the introduction of methods for managing the quality of metrological provision of enterprises. In the development of a modern quality system, the joint effect of the most well-known methods and methods of Lean Manufacturing, General Quality Management, «Six Sigma» and process modeling in the IDF0 environment is used to implement the process approach.

Process approach to the organization of the quality system of the enterprise for maintenance and repair of machines is necessary to ensure unity in the development of a methodology for quality management, the best distribution of resources, flows, «inputs» and «outputs» of the process, and the organization of a clear system of personnel's interest in quality. The construction of the enterprise quality system is based on the process management model, which becomes the basis for the introduction of Lean Manufacturing methods. The stability of processes in this system is ensured by the concept of «Six Sigma», and the process approach will allow the activity to be streamed in order to further optimize the parameters of these flows. With such integration of methods, «formally» the described quality management system begins to work really.

Thus, when creating a modern quality system at the technical service enterprise, it is important to take into account the factors that ensure efficient process analysis, as well as implement a set of tools and methods of quality management, while analyzing all positive and negative changes in the analysis of the cost dynamics for quality.

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