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Observation Based PDE Models for Stochastic Production Systems

$52.92

SKU: 9783639104547
Author: Unver, Ali Kemal
Publication Date: 04/16/2009
Publisher: VDM Verlag
Binding: Paperback
Media: Book
This item is on backorder and will take an additional 5-7 business days for processing.

Description

In this book, continuum models of re-entrant production systems are developed that treat the flow of products in analogy to traffic flow. Specifically, the dynamics of material flow through a re – entrant factory via a parabolic conservation law is modeled describing the product density and flux in the factory. The basic idea underlying the approach is to obtain transport coefficients for fluid 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 flow 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.