DEVELOPING THE ALGORITHM OF AN AUTOMATED EXPERT SELECTION SYSTEM FOR CONDUCTING CORRECTION MEASURES TO IMPROVE THE DRILLING JIG PERFORMANCE
Abstract and keywords
Abstract (English):
This article presents the main problems that arise during the drilling jig operation. The paper considers the main nodes of the jig and their purpose. An FMEA-analysis is carried out, on the basis of which the main risks for the consumer arising during the operation are identified, and corrective measures are proposed to improve the product quality. The main methods used for choosing the experts are analyzed, and an automated system for selecting the experts in the Russian Science Foundation is considered. The article presents the scheme of the developed decision support system and the algorithm of the automated system for selecting the experts to carry out corrective measures including various methods.

Keywords:
automation, expert, expert judgment, automated system, algorithm, drilljig
References

1. Khvastunov, R.M. Methods of Selecting Specialists in the Expert Group Members / R.M. Khvastunov, N.P. Negrimovskaya, A.N. Feofanov // Mechanical Engineering. – 2008. – no. 10. – pp. 58-67.

2. Salimgareev, I. T-FLEX DOCS + T-FLEX CAD: A New Approach to Designing Group Drawings / I. Salimgareev // CAD AND GRAPHICS. – 2013. – no. 6 (200). – pp. 86-87.

3. GOST R 56005-2014. Pipeline Valves. Reliability and Safety Practice for Engineering and Production by Quality Function Deployment Applying: Nat. Russian Federation Standard: ed. officially: approved and entered into force by the order of the Federal Agency for Technical Regulation and Metrology dated April 24, 2014 N 402-st: introduced for the first time: date of entry into force 01 January 2015 / developed by the Limited Liability Company “Scientific Research Institute of Natural Gases and Gas Technologies”. – M.: Standartinform, 2014.

4. Sidelnikov, Yu.V. Forming the Conceptual and Terminological Apparatus of Expertology / Yu.V. Sidelnikov // Control Problems. – 2017. no. 5. – pp. 18-30.

5. Blinov, A.N. Automated System for Selecting the Experts in the Russian Science Foundation / A. N. Blinov, A.V. Klimenko // Bulletin of the Russian Academy of Sciences. – 2020. – vol. 90, no. 6 – pp. 540-548.

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