Observation Based Pde Models for Stochastic Production Systems: Supply Chain Modeling - Ali Kemal Unver - Livros - VDM Verlag - 9783639104547 - 16 de abril de 2009
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Observation Based Pde Models for Stochastic Production Systems: Supply Chain Modeling

Ali Kemal Unver

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Observation Based Pde Models for Stochastic Production Systems: Supply Chain Modeling

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.

Mídia Livros     Paperback Book   (Livro de capa flexível e brochura)
Lançado 16 de abril de 2009
ISBN13 9783639104547
Editoras VDM Verlag
Páginas 72
Dimensões 117 g
Idioma English