CODE 66273 ACADEMIC YEAR 2021/2022 CREDITS 6 cfu anno 3 10800 (L-9) - SAVONA SCIENTIFIC DISCIPLINARY SECTOR ING-INF/04 TEACHING LOCATION SAVONA SEMESTER 2° Semester MODULES Questo insegnamento è un modulo di: CORPORATE ECONOMICS + MODELS AND METHODS FOR AUTOMATION TEACHING MATERIALS AULAWEB OVERVIEW The course provides the methodological tools for the representation, analysis and management of industrial automation systems, with specific reference to the class of discrete production systems. For that class of systems, several decision problems are defined and dealt with, in connection with a hierarchical decision framework which includes four decision levels: the strategic level, the tactical level, the operational level, and the real-time control level. AIMS AND CONTENT LEARNING OUTCOMES The course provides methods and tools to represent, analyse and control production processes and, in particular, discrete production systems; in this connection, several decision problems at strategic, planning and operational levels will be considered and solved AIMS AND LEARNING OUTCOMES At the end of the course, the student will be able to suitably represent the dynamics of a discrete production system and to analyse its behaviour through the application of some specific models and methods. The student will be also able to solve some decision problems, in particular tactical-operational planning problems, such as those related to scheduling decisions. TEACHING METHODS The lectures are mainly realized in the classroom, with some lessons in lab in order to learn about specific software SYLLABUS/CONTENT Introduction - Discrete production systems - Introduction to models and methods for strategic and tactical planning - Scheduling: key performance indicators, classification, solution algorithms and optimization models - Models and methods for the analysis of the system behaviour at the operational level of discrete-event systems RECOMMENDED READING/BIBLIOGRAPHY S. Nahmias, Production and Operations Analysis, Irwin, 1989 M.L. Pinedo, Scheduling. Theory, Algorithms, and Systems, Springer, 2008 S. French, Sequencing and Scheduling, Ellis Horwood Ltd., 1982 C.G. Cassandras, S. Lafortune, Introduction to Discrete Event Systems, Springer, 1999 A. Di Febbraro, A. Giua, Sistemi ad eventi discreti, McGraw-Hill, 2002 J. Banks, J.S. Carson II, B.L. Nelson, D.M. Nicol, Discrete-Event System Simulation, Prentice Hall, 2010 TEACHERS AND EXAM BOARD SIMONA SACONE Ricevimento: By taking an appointment with the teacher (simona.sacone@unige.it) Exam Board SIMONA SACONE (President) SILVANO CINCOTTI CECILIA CATERINA PASQUALE MARCO RABERTO SILVIA MASSA (President Substitute) SILVIA SIRI (President Substitute) STEFANIA TESTA (President Substitute) LESSONS LESSONS START https://corsi.unige.it/10800/p/studenti-orario Class schedule L'orario di tutti gli insegnamenti è consultabile all'indirizzo EasyAcademy. EXAMS EXAM DESCRIPTION The exam is composed of two parts, one written and one oral. In the written part, the students should solve 2-3 exercises. It is possible to take the oral exam if the mark of the written part is equal or greater than 18. ASSESSMENT METHODS During the written exam, the student should be able to apply, to numerica cases, the methods and algorithms of the course. During the oral exam, the student should demonstrate to have learnt the methods presented in the course and to be able to apply such methods in real applicative cases. Exam schedule Data Ora Luogo Degree type Note 09/06/2022 14:00 SAVONA Orale 01/07/2022 14:00 SAVONA Orale 21/07/2022 14:00 SAVONA Orale 08/09/2022 14:00 SAVONA Orale