Pihnastyi, Oleh (2011): Statistical two-level model of the production process. Published in: Contemporary problems of mathematics, mechanics and computing sciences (7 August 2011): pp. 312-322.
PDF
MPRA_paper_95698.pdf Download (316kB) |
Abstract
The mathematical model of economical-manufacturing systems with mass production output was constructed. The state of any production system at any time moment is usually given as a point in two-dimensional phase space. The distribution function for the base product is input, and the equation, being analogous to the kinetic equation in Physics, is put down. Both the engineering-production and the generative functions were determined. The closed system of equations for the distribution function moment was put down in the zero approximation. For the closed system of equations of the manufacturing system’s macroscopic state was obtained. The conditions of the manufacturing systems stable operating were written down. The connection between the surplus and the pace of base products motion lengthwise the technological chain was shown. The manufacturing process’ disturbed state system of equations for the particular case of the stability theory (the case of one zero roots of the system’s characteristic equation) was considered.
Item Type: | MPRA Paper |
---|---|
Original Title: | Statistical two-level model of the production process |
Language: | English |
Keywords: | synergetic; basic product; macroscopic description; distribution function; engineering-production function; generative function; equations of balanc |
Subjects: | C - Mathematical and Quantitative Methods > C0 - General > C02 - Mathematical Methods C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C25 - Discrete Regression and Qualitative Choice Models ; Discrete Regressors ; Proportions ; Probabilities C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C44 - Operations Research ; Statistical Decision Theory D - Microeconomics > D2 - Production and Organizations > D24 - Production ; Cost ; Capital ; Capital, Total Factor, and Multifactor Productivity ; Capacity L - Industrial Organization > L2 - Firm Objectives, Organization, and Behavior > L23 - Organization of Production |
Item ID: | 95698 |
Depositing User: | Oleh Mikhalovych Pihnastyi |
Date Deposited: | 26 Aug 2019 14:04 |
Last Modified: | 27 Sep 2019 07:26 |
References: | 1. Wilson A.J. Entropic Methods Of Complicated Systems Modelling: Translation from English.-M.: Science, 1978 – 248p. 2. Pritkin B.V. Technical-Economical Analysis Of Manufacturing.-M.: JUNIT – DANA, 2000. - 399p. 3. Demutsky V.P., Pihnastaya V.S., Pihnastyi O.M. Theory Of Industrial Works. .- Kh.: KhNU, 2003. - 272p. 4. Klimontovitch. Y.L. Statistical Physics.-M.: Science, 1982. - 608p. 5. Forrester J. Fundamentals Of The Works Cybernetics.-M.: Progress, 1961. – 341p. 6. Pihnastyi O.M. Distinctive numbers of production systems functioning description / О.М. Pihnastyi // Problems of Atomic science and technology. - Kharkiv: KIPT. - 2007. - №3 - P. 322-325. 7. Pihnastyi O.M. To the question of similarity of technological processes of production and technical systems / NA Azarenkov, OM Pignastiy, VD Khodusov // Reports of the National Academy of Sciences of Ukraine. - Kyiv: Akademperiodika Publishing House. - 2011. –№2– P. 29-35. doi.org/10.13140/RG.2.2.13585.53600 8. Pihnastyi O.M. The use of statistical physics methods for the study of economic production systems with mass production / V.P. Demutsky, O.M. Pihnastyi, M.N. Azarenkova // Bulletin of the Kharkiv National University. - Kharkiv: KhNU. -2005. - № 710. vol. 2, - P. 128-134 9. Pihnastyi O.M. The target function of the production system with mass production / V.P. Demutsky, O.M. Pihnastyi, V.D. Khodusov, M.N. Azarenkovа // - Visnyk of Kharkiv National University. - Kharkiv: KhNU. - 2006. - N746. - P.95-103. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/95698 |