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The information controlling model transport system during transient conditions

Author

Listed:
  • Pihnastyi, Oleh
  • Kozhevnikov, Georgii
  • Bondarenko, Tetiana

Abstract

This article is devoted to designing an information management system for the conveyor line of mining enterprises. The analytical design method for the transient mode of the stepped speed control system of the conveyor line was developed. The partial differential equation was used in constructing the conveyor line model. The description of the production system is fulfilled in the single step approximation. A decision was obtained which determines the state of the parameters of the production line for a technological position specified as a function of time. Has been determined the length of the transition period during which the initial condition for the distribution of labour objects along the conveyor affects the parameters of the state of the conveyor line. The method for calculating the current parameters of a conveyor line with the use of partial differential equations allows the design of control systems for production lines of conveyor type for transient modes. The originality of the results obtained is to improve the PDE-models of the conveyor-type production systems used to design highly efficient production control systems operating in transient modes.

Suggested Citation

  • Pihnastyi, Oleh & Kozhevnikov, Georgii & Bondarenko, Tetiana, 2019. "The information controlling model transport system during transient conditions," MPRA Paper 101908, University Library of Munich, Germany, revised 11 Oct 2019.
    • Handle: RePEc:pra:mprapa:101908
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    More about this item

    Keywords

    conveyor; PDE-model; production cycle; mass production; work in progress; balance equations; quasi-static process; stochastic proces;
    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

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