Marco Torlaschi
Development of a discrete event simulation tool with genetic algorithms for the design and optimization of automated warehouses.
Rel. Franco Lombardi, Giulia Bruno. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2021
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Abstract
The automatization and optimization of production systems is central in the new industrial development, and a big part of production efficiency reside in logistics. Automated warehouse can aid in creating smarter and more flexible storage systems. while using less space and energy then classic systems. They provides a fully digital controllable environment where it is easier to apply responsive policy to enhance the functionality not only of logistics, but of the entire production system. However, due to the number of variable and the interdependence of operations,it is not trivial to asses the best combination of technologies, infrastructures and strategy of operation for a given situation.
The goal of this Master Thesis is to develop a proof of concept for a tool which able to check the different options and than select the optimal for the specific application
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