An artificial neural network based simulation metamodeling approach for dual resource constrained assembly line

Authors:
Gokalp Yildiz;Ozgur Eski
Affiliations:
Faculty of Engineering, Industrial Engineering Dept., Dokuz Eylul University, Bornova-Izmir, Turkey;Faculty of Engineering, Industrial Engineering Dept., Dokuz Eylul University, Bornova-Izmir, Turkey
Venue:
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Year:
2006

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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.