Observation Based PDE Models for Stochastic Production Systems. Supply Chain Modeling

Observation Based PDE Models for Stochastic Production Systems. Supply Chain Modeling

Ali Kemal Unver

     

бумажная книга



Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-3-6391-0454-7
Объём: 72 страниц
Масса: 129 г
Размеры(В x Ш x Т), см: 23 x 16 x 1

In this book, continuum models of re-entrant production systems are developed that treat the ?ow of products in analogy to traffic ?ow. Specifically, the dynamics of material ?ow through a re - entrant factory via a parabolic conservation law is modeled describing the product density and ?ux in the factory. The basic idea underlying the approach is to obtain transport coefficients for ?uid dynamic models in a multiscale setting simultaneously from Monte Carlo simulations and actual observations of the physical system, i.e. a production factory. Since partial differential equation (PDE) - conservation laws are successfully used for modeling the dynamical behavior of product ?ow in manufacturing systems, a highly re-entrant manufacturing systems is modeled using a diffusive PDE. It is demonstrated that PDE models are preferable to simulate large and complex production systems, because they are accurate, fast, and amenable themselves to optimization, which is a quite important advantage for a mathematical model. The work brings out an almost universally applicable tool to provide rough estimates of the behavior of complex production systems in non-equilibrium regimes.

Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.

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