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- Master's Degree in MANAGEMENT ENGINEERING
- ROBOTIZED MANUFACTURING AND FMS
ROBOTIZED MANUFACTURING AND FMS
- Teaching in italian
- ROBOTIZED MANUFACTURING AND FMS
- Teaching
- ROBOTIZED MANUFACTURING AND FMS
- Subject area
- ING-IND/16
- Reference degree course
- MANAGEMENT ENGINEERING
- Course type
- Master's Degree
- Credits
- 9.0
- Teaching hours
- Frontal Hours: 81.0
- Academic year
- 2022/2023
- Year taught
- 2023/2024
- Course year
- 2
- Language
- ENGLISH
- Curriculum
- Advanced Manufacturing and Operations Management
- Reference professor for teaching
- NUCCI Francesco
- Location
- Lecce
Teaching description
Office automation, Elements of Mechanics
The aim of the course is the study of Robotized and Flexible Manufacturing systems. The first part addresses the production systems and their configuration. The second part of the course is oriented to Computer Aided Production
Knowledge and understanding
After the course the student should understand the following aspects
- Flexible manufacturing system: configuration and management
- Robots in manufacturing environment: selection, configuration and management.
- Computer Aided Production: use of computer aided techniques to manage production
Applying knowledge and understanding
After the course the student should be able to
- formulate and solve problems concerning configuration and management of flexible production systems.
- select and program robotics in order to support CNC machines in production environment.
- assess the performance parameters and discuss issues related with different solutions.
- describe different approaches of production layout.
- formulate and solve production system configuration problems
- manage state-of-the-art techniques to represent part program
Making judgments
Students should obtain the skill to compare pros and cons of different methods to the solution of a specific problem through examples and problems.
Communication
The aptitude to communicate on technical issues should be obtained by discussing in a rigorous method both concepts and the accepted solution to a specific problem.
Learning skills
Selected problems will be recommended that involve developing on presented theories and techniques. Identifying solutions to case study problems will be acquired for professional career.
The course is based on: a) frontal lessons, based on slides; b) practical group exercises, based on worksheets; c) individual laboratory experiences supported by the teacher. The teaching material is available to the students through the dedicated website http://nucci.dii.unisalento.it/rmfms. Lessons aim at achieving the educational objectives through the parallel presentation of theory and practice of the manufacturing field.
The exam is divided into two parts.
In the first part a project report related to a workgroup is developed. This refers to a generic industrial case study that is customized for each group of students. For attending students, the project is assigned in the final part of the course to allow the first phase to be carried out during laboratory hours with the support of the teacher.
In the second part there is an oral interview consisting in the discussion of the developed project and the topics of the entire course.
Manufacturing robots: classification and programming.
Production system configuration: analysis of production paradigms, production lines, flexible systems, and performance analysis of production systems.
Part Program concept: state-of-the-art techniques to represent part program, analysis of possible extensions of the part program concept using the STEP methodology (network part program).
Project work on a real case study of Robotized Manufacturing and FMS.
Use and application of packages for program modeling and analysis of production systems based on the Python programming language.
[1] Handouts
[2] Luggen W.W., "Flexible Manufacturing Cells and Systems", Prentice Hall, ISBN: 0-13-321977-1.
[3] Groover M.P., "Automation, Production Systems, and Computer-Integrated Manufacturing", 2nd edition, Prentice-Hall, 2001, ISBN 0-13-088978-4. *
[4] Rembold U, Nnaji, B.O, Storr, A., "Computer Integrated Manufacturing and Engineering", Addison-Wesley, ISBN 0-201-56541-2. *
Semester
First Semester (dal 18/09/2023 al 22/12/2023)
Exam type
Compulsory - Characterizing
Type of assessment
Oral - Final grade
Course timetable
https://easyroom.unisalento.it/Orario