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Использование Pde-Моделей Для Построения Единой Теории Производственных Линий
[Using PDE-models for a unified theory of production lines]

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  • Пигнастый, Олег

Abstract

В статье обсуждается введенный автором (2003 г.) [1] класс моделей производственных систем с поточным способом организации производства, широко используемый в настоящее время для построения эффективных систем управления производственными линиями [2,3]. Модели класса, определяющие поведение параметров производственной линии с помощью уравнений в частных производных, получили название PDE-моделей производственных систем [2–4], в последнее десятилетие успешно использованы для описания квазистатических, так и некоторых неустановившихся переходных процессов [5]. This paper discusses a class of models of production systems [1]. Models are widely used today for building effective systems of production lines [2,3]. Class model parameters determine the behaviour of the production line with the help of partial differential equations (PDE-model) [2-4], in the last decade successfully used to describe the quasi-static and transient processes [5].

Suggested Citation

  • Пигнастый, Олег, 2014. "Использование Pde-Моделей Для Построения Единой Теории Производственных Линий [Using PDE-models for a unified theory of production lines]," MPRA Paper 94647, University Library of Munich, Germany, revised 06 Sep 2014.
    • Handle: RePEc:pra:mprapa:94647
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    References listed on IDEAS

    as
    1. Fenglan He & Ming Dong & Xiaofeng Shao, 2011. "Modeling and Analysis of Material Flows in Re-Entrant Supply Chain Networks Using Modified Partial Differential Equations," Journal of Applied Mathematics, Hindawi, vol. 2011, pages 1-14, February.
    2. Stephen C. Graves, 1986. "A Tactical Planning Model for a Job Shop," Operations Research, INFORMS, vol. 34(4), pages 522-533, August.
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    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

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