Observation Based PDE Models for Stochastic Production Systems

Name: Observation Based PDE Models for Stochastic Production Systems
Brand: VDM Verlag
SKU: 9783639104547
Price: 50.96 EUR
Availability: InStock

Автор: Ali Kemal Unver

Език:

Корици: С меки корици

Издател: VDM Verlag

Наличност: Налично при издателя, по поръчка

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In this book, continuum models of re-entrant§production systems are developed that treat the ow§of...

Информация за книгата

Автор

Ali Kemal Unver

Език

Английски език

Корици

Книга - С меки корици

Издадена

2009

страници

EAN

9783639104547

ISBN

3639104544

Enbook ID

06819430

Издател

VDM Verlag

Теглоt

118

Размери

152 x 229 x 4

Пълно описание

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.

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Observation Based PDE Models for Stochastic Production Systems

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