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Observation Based PDE Models for Stochastic
Production Systems. Edition No. 1 - Product Image

Observation Based PDE Models for Stochastic Production Systems. Edition No. 1

  • ID: 1910388
  • April 2009
  • 72 Pages
  • VDM Publishing House

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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Ali Kemal, Unver.
Dr. Ali Kemal Unver is a Postdoctoral Researcher at UCLA
Institute for Pure and Applied Mathematics as of 2009. He
received a Bachelor's degree in Electronics and Communications
Engineering from Technical University of Istanbul; a Master's
degree in Electrical Engineering and a PhD degree in Mathematics
both from Arizona State University.

Note: Product cover images may vary from those shown
Note: Product cover images may vary from those shown

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