LABORATORY SUSTAINABLE INDUSTRIAL SYSTEMS (SIS) | Università degli studi di Bergamo - Didattica e Rubrica

LABORATORY SUSTAINABLE INDUSTRIAL SYSTEMS (SIS)

Attività formativa monodisciplinare
Codice dell'attività formativa: 
37207-ENG

Scheda dell'insegnamento

Per studenti immatricolati al 1° anno a.a.: 
2021/2022
Insegnamento (nome in italiano): 
LABORATORY SUSTAINABLE INDUSTRIAL SYSTEMS (SIS)
Insegnamento (nome in inglese): 
LABORATORIO SIS
Tipo di insegnamento: 
Opzionale
Anno di corso: 
2
Anno accademico di offerta: 
2022/2023
Crediti: 
6
Responsabile della didattica: 
Mutuazioni

Altre informazioni sull'insegnamento

Modalità di erogazione: 
Didattica Convenzionale
Ciclo: 
Secondo Semestre
Obbligo di frequenza: 
No
Ore di attività frontale: 
48
Prerequisites

Basics of Operations Management, Data analysis, Simulation

Educational goals

Students will acquire advanced knowledge on criteria and methodologies that govern the analysis of an industrial system, being able to evaluate its sustainability according to various perspectives (e.g., economic, environmental).

At the end of the course, students will be able to:
- Understand what a sustainable industrial system is
- Know and apply the KPIs and instruments used to evaluate the sustainability of an industrial system
- Know and apply methods for industrial data analysis in order to support predictive maintenance
- Apply various methods and techniques (e.g., simulation, Total Cost of Ownership) aimed at supporting the evaluation of the sustainability of an industrial system
- Evaluate the sustainability of an industrial system
- Create a model to evaluate the sustainability of an industrial system
- Acquire the ability to address a complex problem through teamwork

Course content

After presenting the evolution of manufacturing systems and Industry 4.0 foundations, the course introduces the principles of sustainability according to the Triple Bottom Line (TBL) – i.e., economic, social, and environmental sustainability. The TBL will be then linked to various area of the industrial systems (e.g., production and/or service processes) aimed at the creation of value for the industrial system, trying to understand how some of these affect the sustainability of the industrial system operations. Various analysis methods will be presented (e.g., Total Cost of Ownership, simulation) and their usage for the evaluation of the sustainability of the industrial system will be discussed through case studies. Practical aspects of data analysis for supporting predictive maintenance will be discussed from both a methodological and practical point of view.

Teaching methods

The course is structured into theoretical lectures (24 hours) and a laboratory application (24 hours). aimed at improving technical and communication skills.
In particular, students will work in team to develop a project related to an industrial system, evaluate it sustainability and propose improvement according to economic or environmental perspectives.
Meetings with the teacher will address project aims, theoretical background and specific knowledge related to the project activities.
Project tutoring will be provided continuously during the entire duration of the project.

Assessment and Evaluation

Evaluation of the project results, knowledge acquired, and skills will be evaluated at the end of each project on the basis of a public presentation by each project team.