Stochastic Simulation of the Functional Variability of the Pareto Diagram Based on the Analysis of a Scaling Factor

Stochastic Simulation of the Functional Variability of the Pareto Diagram Based on the Analysis of a Scaling Factor

A.A. Barzov, Doctor in Engineering, Professor, Leading Research Officer of the Centre for Hydrophysical Research at the Physics Department, Lomonosov Moscow State University; Moscow
V.M. Korneeva, Doctor in Engineering, Associate Professor, Professor of Metrology and Interchangeability Department at the Bauman Moscow State Technical University; President of the Qualimetry Department of the Academy for Quality Problems; Moscow
e-mail: v_korneeva@list.ru
S.S. Korneev, PhD in Engineering, Associate Professor, Associate Professor of the Department of Rocket and Space Engineering Technologies at the Bauman Moscow State Technical University; Moscow
The authors propose a functionally formalized representation of a well-known in the theory of quality management the Pareto diagram by exponentially stochastic models derived from the use of the mechanism of studying the role of scaling factor in the analysis of different nature problems. The possibility of deterministic specification of the Pareto diagram structure and its integral-cumulative modification by using the weighted sum method as an important component of qualimetry has been shown. The development perspective of the proposed stochastic approach by simulation modeling methods is noted.
Keywords: Pareto diagram, stochastic simulation, scaling factor, exponentially probabilistic models.
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DOI: 10.34214/2312-5209-2021-32-4-16-21

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