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Statistical two-level model of the production process

Author

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  • Pihnastyi, Oleh

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.

Suggested Citation

  • Pihnastyi, Oleh, 2011. "Statistical two-level model of the production process," MPRA Paper 95698, University Library of Munich, Germany, revised 07 Aug 2011.
    • Handle: RePEc:pra:mprapa:95698
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    File URL: https://mpra.ub.uni-muenchen.de/95698/1/MPRA_paper_95698.pdf
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    References listed on IDEAS

    as
    1. Pihnastyi, Oleh, 2007. "Distinctive numbers of production systems functioning description," MPRA Paper 98200, University Library of Munich, Germany, revised 04 Mar 2007.
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    More about this item

    Keywords

    synergetic; basic product; macroscopic description; distribution function; engineering-production function; generative function; equations of balanc;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production

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