Skip to Main Content
Skip Nav Destination
ASME Press Select Proceedings

Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17

C. H. Dagli
C. H. Dagli
Search for other works by this author on:
No. of Pages:
ASME Press
Publication date:

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...

1. Introduction
2. Mathematical Formulation
3. Hybrid Genetic Algorithm
4. Numerical Experiment
5. Conclusions
This content is only available via PDF.
You do not currently have access to this chapter.
Close Modal

or Create an Account

Close Modal
Close Modal