86476 - Industrial Plants Design

Course Unit Page


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

Quality education Gender equality Decent work and economic growth Industry, innovation and infrastructure

Academic Year 2021/2022

Learning outcomes

Knowledge and comprehension of the course contents in relation to the production system design.

Skills and capabilities in the application of the previously mentioned contents to real complex industrial cases where both the human and the machine components are present.

Expertise in the evaluation of the profitability of an industrial investment

Course contents

Requirements/Prior knowledge

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


  • Feasibility study concept
  • Relevance of product market analysis
  • Market surveys: short, medium, long period
  • Market demand components: trend, conjuncture, seasonality and random
  • Survey product demand sampling method


  • Product-Quantity analysis and industrial layouts concepts
  • Main technological plants and others facilities
  • Design of production systems (flow shops and job shops)
  • Time influence on costs and amortization
  • Characteristic curve and economic value of an industrial equipment
  • Cell production design
  • Collaborative Robot-machine systems


  • Cost classification and cost-return analysis
  • Cash flows and actualization
  • Fiscal amortization, methods for the profitability analysis of an industrial investments (NPV, TIR, Payback)


  • Project work in groups of 3/4 people focused on the design of a plant for the production of vehicles starting from a physical scale model.


  • S.Heragu, Facilities Design, CRC Press, 2008, III Ed.
  • Readings suggested directly by teacher (available on virtual learning platform platform)

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 are 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 learn 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. The duration is 3 hours.

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

Higher grades will be awarded to students who demonstrate an organic understanding of the subject, a high ability for critical application, in particular to connect and merge the different parts of the course.

A failing grade will be awarded if the student shows knowledge gaps in key-concepts of the subject, inappropriate use of language, and/or logic failures in the analysis of the subject.

Teaching tools

During the course, business visits and / or business testimonies are organized in the classroom to understand and discuss the problems related to the maintenance of the production systems most noticeable in industrial realities and consequently to understand the role of the techniques known during the lectures.

Office hours

See the website of Alberto Regattieri