Automated Warehouse System analysis with Python (TDAAWSAP)

Simulation is a key part of Industry 4.0, and with this study case the students will be able to understand it’s logic and purpose.This workshop show how to develop a Python tool to analyze and optimize an Automated Warehouse system and optimize

Audience (and prerequisites)

Anyone with a basic knowledge in statistics and programming who are interested in programming simulation tools with Python

Approaches (Objective)

The students revisit the theory of the discrete event simulation using the Simpy framework. In this way they learn how design and develop a modelization of a discrete system based on entities, processors and resources.

The project is composed by the design of the simulator of the system, the definition of best KPIs to monitor it and the implementation of an optimization method to find the best setup, the best strategy or the best investment.