Portale di Ateneo - En.Unibs.it

Other Courses in the Curriculum

ECONOMICO E ORGANIZZATIVO

Course year: 1

COMPLEX SYSTEMS ANALYSIS AND CONTROL
Attendance grouping
12 credits - Raggruppamento di frequenza
PLANTS AND INDUSTRIAL WORK MANAGEMENT WITH LABORATORY
Attendance grouping
12 credits - Raggruppamento di frequenza
TECHNOLOGIES OF THE RENEWABLE ENERGIES

6 credits - Student's own choice
ASSISTED DESIGN OF MECHANICAL STRUCTURES

6 credits - Student's own choice
INFORMATION SYSTEMS

6 credits - Related/Supplementary
ORGANIZATION AND MANAGEMENT OF INNOVATION

9 credits - Characterising
STRUCTURAL BIOMECHANICS

3 credits - Student's own choice
DESIGN AND MODELLING OF SPECIAL VEHICLES

6 credits - Student's own choice
INDUSTRIAL LOGISTICS

6 credits - Student's own choice
INDUSTRIAL ORGANIZATION AND ECONOMICS OF INNOVATION
Attendance grouping
9 credits - Raggruppamento di frequenza
INDUSTRIAL PRODUCTION MANAGEMENT
Attendance grouping
12 credits - Raggruppamento di frequenza
LABORATORY PRODUCTION AND PROTOTYPE

6 credits - Student's own choice
PRODUCTION TECHNOLOGY FOR BIOMECHANICS

3 credits - Student's own choice
BIOFLUID MECHANICS

3 credits - Student's own choice

Course year: 2

FINAL THESIS

12 credits - Language/Final Examination
PROCESSES AND SUPPLY CHAINS MANAGEMENT
Attendance grouping
12 credits - Raggruppamento di frequenza
BUSINESS MANAGEMENT (STRATEGY AND MARKETING)

9 credits - Characterising
FLUID MACHINERY AND ENERGY CONVERSION SYSTEMS

6 credits - Related/Supplementary
PRODUCTION SYSTEMS MANAGEMENT LABORATORY

6 credits
SOCIOLOGY OF ORGANIZATION

6 credits - Related/Supplementary
BUSINESS LAW

6 credits - Student's own choice
TRAINING ACTIVITY/INTERNSHIP 3 CREDITS - MASTER LEVEL

3 credits - Student's own choice
TRAINING ACTIVITY/INTERNSHIP 6 CREDITS - MASTER LEVEL

6 credits - Student's own choice
TRAINING ACTIVITY/INTERNSHIP 9 CREDITS - MASTER LEVEL

9 credits - Student's own choice
PROPERTY INDUSTRIAL AND INTELLECTUAL

6 credits - Student's own choice
PROPERTY INDUSTRIAL AND INTELLECTUAL

6 credits - Student's own choice
QUALITY INDUSTRIAL MANAGEMENT LABORATORY

3 credits - Student's own choice

OPTIMIZATION AND MANAGEMENT OF INDUSTRIAL PROCESSES

Single discipline educational activity

Course Sheet

Academic Year of enrolment:

2016/2017

Academic Year of provision:

2017/2018

Type of Course:

Characterising

Degree:

Master's Degree Programme in MANAGEMENT ENGINEERING

Disciplinary Sector:

Industrial and Mechanical Plant

Language:

Italian

Grouping head:

PROCESSES AND SUPPLY CHAINS MANAGEMENT

Grouping type:

Credits:

Programme Year:

Professor and Collaborators:

ZAVANELLA Lucio Enrico Professor

Cycle:

First semester

Hours of classroom activity:

Hours of individual study:

• Statistics and probability
• Methods and models for the management of the industrial production

Educational Goals

The module aims at introducing the techniques and the methodologies useful to productive systems modelling: relevant differences, advantages
and limitations of the different approaches are constantly highlighted. By means of examples and numerical cases, modelling techniques are also
presented focussing on the description of the systems finalised to the optimisation of the systems themselves. The analytical approach is mainly discussed in the first part of the module, while the second part pays greater attention to the development of "computer based" models and the related optimisation of the system modelled.

Content

• Analytical models for production and service systems (Queuing Theory; Petri Nets; Markov Chains)
• Advanced optimisation techniques
• Simulation modelling of productive and service systems

Extended Syllabus

1) Queueing theory and Markov chains.
General characteristics of queuing systems. Notation and examples. Little's law. Simple queuing models (M/M/1, M/M/c models with limited
capacity). Queuing models with general distributions (M/G/1, GI/M/1, GI/G/1). Open queuing networks (tandem queues, networks of Jackson).
Closed queuing networks. Petri Nets (notation, general properties of Petri Nets, applications and examples). Introduction to Markov Chains
(memoryless random variables, stochastic processes). Markov chains in discrete and continuous time. Birth and death processes (BD) and
absorbing states. Examples of applications in production contexts and services.
2) Advanced optimization techniques
Definition of optimization problems (general formulation, local optimum, local optimum discrete global optimum, instances of a problem). Simulation of production-service systems. Notes on the theory of computational complexity. Definition of heuristics (general definition, Greedy Heuristics, Metaheuristics) and classification of Metaheuristics. Notes on the measurement of the performance of the algorithms. Applications in industrial environments

Recommended Bibliography

• Fundamentals of queueing theory – Gross et al. – Wiley
• Stochastic Petri Nets: Modelling, Stability and Simulation – Haas – Springer
• Tecniche di ottimizzazione dei sistemi produttivi – Zavanella and Ferretti - Snoopy Editore
• Material from the course lectures

Methods of Provision

Conventional

Teaching Methods

The course adopts two types of approaches:
• Lectures, designed to illustrate the basic theory of the different contents
• Numerical exercises and industrial-service cases, necessary to understand the contents learned in class

Assessment Methods

A written examination based on numerical exercises and a written examination based on theory. Oral examination may be required, according to the results of the two written exams above.

Assessment:

Final Mark

Programme of Educational Activities

Start date of teaching period:

Monday, September 18, 2017

End date of teaching period:

Friday, December 22, 2017

Other Information

No additional information