84877 - Laboratory of Logistic Simulation M

Academic Year 2022/2023

Learning outcomes

Laboratory of Logistics Simulation is oriented to Logistics and Manufacturing Plants Design.The Course is intended for training students in the detailed skills of generating and executing a process simulation model. Moreover it is treated methodology to generate alternative What-If scenarios to examine and compare model performance.The entire course is based on AutomodTM,an object-oriented software developed for providing an environment for building highly accurate models for analysis and development, as well as for control system emulation.

Course contents

The Course aims at fully understand and use the AutomodTM tool with the final purpose to develop in an adequate dynamic simulation environment the following aspects about manufacturing processes:

  • Conveyor systems;
  • Material handling systems;
  • Flexible Manufacturing Systems;
  • Flexible Assembly lines;
  • Manual and automatic warehouse systems;
  • Supply chain and logistic systems.

At the end of the course, the Participants will be able to:

  • Understand the concepts underlying process simulation;
  • Know the range and capabilities of simulation;
  • Create a simulation of a complex production system;
  • Produce and interpret a simulation report;
  • Realize and analyse What-If scenarios.

Readings/Bibliography

Brooks Automation, Inc., “Automod User's guide Volumes 1 and 2, 2003.

Jerry Banks, “Getting Started with AutoModTM”, Brooks Automation, Inc., 2004.

Brooks Automation, Inc., “Beginning AutoModTM Tutorial”,, 2003.

J. Banks, J. S. Carson, B. L. Nelson, “Discrete­event system simulation (2nd ed.)”, Upper Saddle River, N.J., Prentice Hall, 1996.

A.Pareschi, E.Ferrari, A.Persona, A.Regattieri, “Logistica Integrata e Flessibile”, Ed.Esculapio (in italiano)

Pareschi A., “Impianti industriali”, Progetto Leonardo, Società Editrice Esculapio, Bologna (in italiano)

Chung a. C., "Simulation modeling handbook", CRC Press, USA2004.

P. A. Fishwick, “Simulation Model Design and Execution”

C.G. Cassandras, S. Lafortune, “Introduction to Discrete Event Systems”

Teaching methods

The Course is applicative and it is developed in the ICT lab so that Students can “learn-by-doing” the AutomodTM tool.

 

Note. As concerns the teaching methods of this course unit, all students must attend Module 1, 2 on Health and Safety online.

Assessment methods

Full development, in working groups of max. 3 students, of on-going case studies and of a final project simulating a production system.

Office hours

See the website of Marco Bortolini

SDGs

Decent work and economic growth Industry, innovation and infrastructure Responsible consumption and production

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.