99506 - Laboratory of Sustainable Industrial Logistics (2nd cycle)

Academic Year 2023/2024

  • Docente: Mauro Gamberi
  • Credits: 3
  • SSD: ING-IND/17
  • Language: Italian
  • Teaching Mode: Traditional lectures
  • Campus: Forli
  • Corso: Second cycle degree programme (LM) in Mechanical Engineering (cod. 8771)

Learning outcomes

The student, through the direct and experimental application, both physical and simulative, of the techniques of design and management of physical and information flows, knows the management of materials within a manufacturing, process and service industry and the management of energy and waste with the aim of greater process sustainability. He also knows the application of flexible automation for the optimal management of company logistics.

Course contents

The aim is to provide base methods and tools for the simulation of the most important aspects of production and manufacturing:

- Conveyor systems;

- Material handling systems;

- Flexible Manufacturing Systems;

- Assembly lines;

- Warehouse systems;

- Supply chain.

At the end of the course 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 analyze What-If scenarios.

Readings/Bibliography

Brooks Automation, Inc., “Automod User's guide Volumes 1 and , 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, 2002.

- Pareschi A., “Impianti industriali”, Progetto Leonardo, Società Editrice Esculapio, Bologna, 1994.

- 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

Laboratory experiences with simulation software.

Assessment methods

Team works and final project.

Office hours

See the website of Mauro Gamberi