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An Artificial Neural Network Based Simulation Metamodeling Approach for Dual Resource Constrained Assembly Line

  • Gokalp Yildiz
  • Ozgur Eski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4132)

Abstract

The main objective of this study is to find the optimum values of design and operational parameters related to worker flexibility in a Dual Resource Constrained (DRC) assembly line considering the performance measures of Hourly Production Rate (HPR), Throughput Time (TT) and Number of Worker Transfers (NWT). We used Artificial Neural Networks (ANN) as a simulation metamodel to estimate DRC assembly line performances for all possible alternatives. All alternatives were evaluated with respect to a utility function which consists of weighted sum of normalized performance measures.

Keywords

Artificial Neural Network Artificial Neural Network Model Assembly Line Work Flexibility Throughput Time 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Gokalp Yildiz
    • 1
  • Ozgur Eski
    • 1
  1. 1.Faculty of Engineering, Industrial Engineering Dept.Dokuz Eylul UniversityBornova-IzmirTurkey

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