This course provides essential modeling and methodological tools for addressing decision-making and management challenges in industrial systems. Focusing on the ANSI/ISA-95 international standard, students will learn to formalize and solve planning, scheduling, and control problems. Emphasis will be placed on the functions of Manufacturing Execution Systems (MES). By the end of the course, students will be proficient in positioning industrial automation issues within the ANSI/ISA-95 framework and resolving decision-making problems using appropriate methods and tools.
The course aims at providing the modeling and methodological tools for the formalization and resolution of some important decision-making and management problems in the context of industrial systems. During the course, planning, scheduling and control problems will be formalized and solved according to the framework proposed by the ANSI/ISA-95 international standard. Special focus will be devoted to the primary and support functions given by the Manufacturing Execution System (MES). At the end of the course, the student will be able to position an industrial automation problem in the context of ANSI/ISA-95 and to formalize and to solve decision-making problems, using proper methods and tools.
By the end of the course, students will be able to:
Additionally, students will have developed:
To ensure a successful learning experience in this course, students should have:
Approximately 30 hours are allocated for traditional lectures to cover the syllabus content comprehensively. The remaining hours are dedicated to hands-on activities, where practical exercises are conducted to reinforce theoretical concepts. These exercises progressively increase in complexity and are conducted within the MATLAB/Simulink environment, utilizing the MATLAB Control Toolbox extensively.
During the lab sessions, students work on exercises under the guidance of the professor, leveraging MATLAB and Simulink to implement and analyze control systems. Continuous assessment is conducted based on the exercises completed during the lab sessions, ensuring ongoing engagement and learning reinforcement. Attendance of both lectures and lab sessions is mandatory to facilitate optimal learning outcomes.
Furthermore, the course requires the development of a three-folded project, at the end of which the students submit a related report. This project allows students to apply their skills in advanced functional literacy, personal development, social interaction, project creation, and basic project management.
Students with work commitments or certified special educational needs are encouraged to communicate with the instructor at the outset of the course. This ensures that teaching and examination arrangements are tailored to accommodate individual learning patterns while aligning with the course objectives.
Students with certification of Specific Learning Disabilities (SLD), disabilities, or other special educational needs must contact the instructor at the beginning of the course to agree on teaching and examination methods that, while respecting the course objectives, take into account individual learning styles and provide appropriate compensatory tools. It is reminded that the request for compensatory/dispensatory measures for exams must be sent to the course instructor, the School representative, and the “Settore servizi per l'inclusione degli studenti con disabilità e con DSA” office (dsa@unige.it) at least 10 working days before the test, as per the guidelines available at the link: https://unige.it/disabilita-dsa
PART I: Introduction and Direct Control
PART II: Manufacturing Execution Systems
PART III: MRP, MRPII and ERP Systems
S. French, Sequencing and Scheduling: An Introduction to the Mathematics of the Job-shop, 1982
M. McClellan, Applying manufacturing execution systems, 1997
Ricevimento: Contacts: Prof. Roberto Sacile, PhD c/o DIBRIS – University of Genova Polytechnic School via Opera Pia 13 16145 Genova, Italy Mob. +393281003228 Skype live:roberto.sacile_1 H323 130.251.5.4 http://orcid.org/0000-0003-4086-8747 Scopus Author ID: 56250207700
ROBERTO SACILE (President)
ENRICO ZERO
MICHELE AICARDI (President Substitute)
https://corsi.unige.it/en/corsi/11160/students-timetable
https://easyacademy.unige.it/portalestudenti//index.php?_lang=en
Project discussion and interview on the content of the course
At the end of the course, the student must be able to simulate and control a simple system, design and implement the scheduling of jobs on machines, and to find optimal or sub-optimal strategies to manage the source, make, plan, and delivery process of an enterprise.
