Modeling production planning and transient clearing functions

Hans Armbruster, Jasper Fonteijn, Matt Wienke

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The production planning problem, that is, to determine the production rate of a factory in the future, requires an aggregate model for the production flow through a factory. The canonical model is the clearing function model based on the assumption that the local production rate instantaneously adjusts to the one given by the equilibrium relationship between production rate (flux) and work in progress (wip), for example, characterized by queueing theory. We will extend current theory and modeling for transient clearing functions by introducing a continuum description of the flow of product through the factory based on a partial differential equation model for the time evolution of the wip-density and the production velocity. It is shown that such a model improves the mismatch between models for transient production flows and discrete event simulations significantly compared to other clearing function approaches.

Original languageEnglish (US)
Pages (from-to)133-139
Number of pages7
JournalLogistics Research
Volume5
Issue number3-4
DOIs
StatePublished - Nov 2012

Fingerprint

Planning
Industrial plants
Queueing theory
Discrete event simulation
Modeling
Production planning
Partial differential equations
Fluxes
Factory

Keywords

  • Continuum models
  • Production planning
  • Transient clearing functions

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Management Science and Operations Research
  • Management Information Systems
  • Computer Science Applications
  • Information Systems

Cite this

Modeling production planning and transient clearing functions. / Armbruster, Hans; Fonteijn, Jasper; Wienke, Matt.

In: Logistics Research, Vol. 5, No. 3-4, 11.2012, p. 133-139.

Research output: Contribution to journalArticle

Armbruster, Hans ; Fonteijn, Jasper ; Wienke, Matt. / Modeling production planning and transient clearing functions. In: Logistics Research. 2012 ; Vol. 5, No. 3-4. pp. 133-139.
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