33925 - Industrial Systems M

Course Unit Page

  • Teacher Mauro Gamberi

  • Credits 6

  • SSD ING-IND/17

  • Teaching Mode Traditional lectures

  • Language Italian

  • Course Timetable from Sep 18, 2018 to Dec 17, 2018

Academic Year 2018/2019

Learning outcomes

Students will learn the general methodologies and tools for the feasibility study and design of an industrial plants

Course contents

The course does not require specific prerequisites except for the know-how acquired by the students during the three year degree.

Feasibility study concept
Market surveys: short, medium, long period
Market demand components: trend, conjuncture, seasonality and random
Survey sampling method
Correlation method
Moving average method
Error coefficients: MAE, MAPE, ST_DEV
Exponential smoothing

Product-Quantity analysis and industrial layouts
Design of production lines and job shops
Time influence on costs and amortization
FMS design
Buffer design with the Montecarlo method
Characteristic curve and economic value of equipment
Cell production design
Robot-machine chart

Exact methods (ALB1, ALB2)
Heuristic methods (Largest-Candidate Rule, Kilbridge and Wester, Ranked Positional Weights)
Examples and case studies

Cost classification and cost-return diagrams
Cash flows and actualization
Fiscal amortization
Net Present Value (NPV), Pay Back Period (PbP)


Impianti Industriali. Autore A.Pareschi – Esculapio (Bologna)

Teacher material downloadable from AMS CAMPUS

Teaching methods

The course is organized in frontal lectures in which the basic elements of the various parts of the program are presented. Many lessons devoted to the resolution of exercises and specific problems follow theoretical presentations of each topic. That underlines the applied nature of the discipline and aims to acquire the method, i.e. the ability to translate in mathematical language a concrete problem to determine its solution then applicable in industrial realities.

Assessment methods

Achievements will be assessed by the means of a final exam. This is based on an analytical assessment of the "expected learning outcomes" described above.

In order to properly assess such achievement the examination is composed of a written exam divided in 2 different sections: one based on numerical applications and the other based on theoretical questions.

To obtain a passing grade, students are required to at least demonstrate a knowledge of the key concepts of the subject, ability for critical application, and a comprehensible use of technical language on industrial system design.

Teaching tools

During the course, real case studies are presented in the classroom to understand and discuss the problems related to industrial system design, most important for industrial companies and consequently to understand the role of the techniques learned douring the course.

Office hours

See the website of Mauro Gamberi