Advertisement

Optimization Customized Token-Based Production Control Systems Using Cross-Entropy

  • Pedro L. González-R
  • Jose M Framinan
  • Andreas Dopfer
  • Rafael Ruiz-Usano

Customized Token-Based production control Systems constitutes one of the most recent approaches to production control, having shown their effectiveness for different manufacturing environments. Performance optimization of a Customized Token-Based System can be formulated as a multicriteria combinatorial optimization problem, which can be addressed by means of metaheuristics. Among these, the cross-entropy method (CE) has confirmed to be useful for a great diversity of problems, including the NP-hard combinatorial optimization problems. However, its applicability for multicriteria problems has not still been explored. In this paper we tackle the multicriteria optimization of a customized token-based production control systems using the CE method, and test its suitability for real-life environments in a simulation model extracted from a component automobile factory in Spain.

Keywords

Multicriteria Optimization Mean Time Between Failure Kanban System Pull System Production Control System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Pedro L. González-R
    • 1
  • Jose M Framinan
    • 1
  • Andreas Dopfer
    • 2
  • Rafael Ruiz-Usano
    • 1
  1. 1.Industrial Management School of EngineeringUniversity of SevilleSpain
  2. 2.Production and Industry DepartmentUniv. of Duisburg-EssenGermany

Personalised recommendations