The focus of this paper is to analyze the supply chain routes by means of artificial intelligence techniques for reducing transportation costs. The simulation model, built in eM-Plant, is used to implement two different approaches based on the ants theory and the genetic algorithms. A comparison of results is made in order to identify the better approach to adopt for the optimization process
Pharmaceutical Routes Optimization using Artificial Intelligence
LONGO, Francesco;MIRABELLI, Giovanni;
2007-01-01
Abstract
The focus of this paper is to analyze the supply chain routes by means of artificial intelligence techniques for reducing transportation costs. The simulation model, built in eM-Plant, is used to implement two different approaches based on the ants theory and the genetic algorithms. A comparison of results is made in order to identify the better approach to adopt for the optimization processFile in questo prodotto:
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