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Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17

Editor
C. H. Dagli
C. H. Dagli
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ISBN-10:
0791802655
No. of Pages:
650
Publisher:
ASME Press
Publication date:
2007

The interests about recovery of used products or materials have been increased. Therefore, reverse Logistics Network Problem (rLNP) will powerful and get a great potential for winning consumers in a more competitive context in the future.

We formulate a mathematical model of remanufacturing system as three-stage logistics network model for minimizing the total of costs of reverse logistics shipping cost and fixed opening cost of the disassembly centers and processing centers. And we consider a multi-stage, multi-product and some attached conditions for disassembly centers and processing centers respectively.

For solving this problem, we propose a Genetic Algorithm (GA) with priority-based...

Abstract
1. Introduction
2. Mathematical Formulation
3. Hybrid Genetic Algorithm
4. Numerical Experiment
5. Conclusions
Acknowledgement
References
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