Advertisement

Abstract

In the following, a comprehensive numerical investigation is presented, which evaluates the performance of the proposed group setup approaches and highlights the effects of the new features integrated into the heuristic methods. The main questions addressed through the computational experiments are:
  • Which conventional agglomerative linkage method performs best in combination with different similarity measures (section 6.2.1)?

  • How effective is the inclusion-based clustering approach compared against conventional clustering methods (section 6.2.2)?

  • What is the performance of the implemented improvement heuristics (section 6.2.3)?

  • How do the proposed group setup approaches perform in comparison with a unique setup strategy (section 6.3.1)?

  • How does the check for makespan reduction integrated into the group setup procedures improve their performance (section 6.3.2)?

  • How does the consideration of batch sizes in the magazine setup heuristic of the group setup procedures improve their performance (section 6.3.3)?

Keywords

Setup Time Batch Size Setup Strategy Placement Time Placement Machine 
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.

Literature

  1. Hogg, R.V., Tanis, E.A., Probability and Statistical Inference, Macmillan Publishing Company, New York, 3rd Edition, 1988 p. 19.Google Scholar

Copyright information

© Gabler | GWV Fachverlage GmbH, Wiesbaden 2008

Personalised recommendations