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Management Mechanism for Continuous Improvement of Production Processes Using Quality Management Methods

  • V. Yu. Antsev
  • N. A. Vitchuk
  • V. V. Miroshnikov
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

The main task of machine-building enterprises is the timely provision of the market with competitive products. The solution to this problem is possible on the basis of continuous improvement of production processes for the manufacture of engineering products based on the use of quality management methods. The manufacturing of engineering products is a complex and time-consuming process consisting of a large number of stages of production of individual units and parts as well as the assembly and testing of all elements. Consequently, a simultaneous improvement of all production stages of engineering goods in the existing production is impossible since this will cause disorganization of the production process as a whole. Therefore, in the conditions of operating production, the improvement of production processes should be carried out step by step starting from the stages that require a priority improvement and using a sound combination of quality management methods that take into account the specific features of the particular enterprise. The variety of quality management methods and quality control tools complicates the task of selecting them for each specific production process. For its solution, it is proposed to use the criterion of Taguchi signal/noise. As a criterion for the effectiveness of implementing the stages of improving the production process using quality management methods, it is suggested to use a dynamically integrated indicator of the quality of the production process. The proposed mechanism for managing the continuous improvement of production processes is considered by the example of manufacturing processes for the manufacture of gas turbine engine pipelines.

Keywords

Quality management Production process Improvement Methods Tools Signal/noise Quality score Pipelines Gas turbine engine 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • V. Yu. Antsev
    • 1
  • N. A. Vitchuk
    • 2
  • V. V. Miroshnikov
    • 3
  1. 1.Tula State UniversityTulaRussia
  2. 2.Kaluga Branch of the Moscow State Technical University Named after N. E. Bauman (National Research University)KalugaRussia
  3. 3.Bryansk State Technical UniversityBryanskRussia

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