CODE 66273 ACADEMIC YEAR 2017/2018 CREDITS 6 cfu anno 3 INGEGNERIA INDUSTRIALE E GESTIONALE 9921 (L-9) - SCIENTIFIC DISCIPLINARY SECTOR ING-INF/04 LANGUAGE Italian TEACHING LOCATION SEMESTER 2° Semester MODULES Questo insegnamento è un modulo di: OPERATIONS RESEARCH 1 + 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 analyse the performance of discrete production systems (manufacturing systems) and to solve decision problems at strategic, planning and operational levels. 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; he will be also able to solve some decision problems (in particular, at the tactical and operational levels). TEACHING METHODS The course is based on theoretical lectures, with projection of slides and some parts written on the blackboard (in particular, examples and exercises). SYLLABUS/CONTENT Introduction - The considered class of production systems (discrete production) - Models and methods for strategic and tactical planning (the make-or-buy decision problem, capacity growth planning, aggregate planning problem, MRP and lot-sizing) - Scheduling - Models and methods for the analysis of the system behaviour at the operational level (discrete-event systems, Petri nets, GSPN, Markov chains, queue systems and queue networks) - Simulation models and tools (discrete-event simulation, definition and building of a simulation model, analysis of output data). RECOMMENDED READING/BIBLIOGRAPHY Teaching materials are provided by the Lecturer-in-charge (slides, technical notes, examples and exercises). Some reference books are listed in the introduction slides. TEACHERS AND EXAM BOARD SILVIA SIRI Exam Board MAURO GAGGERO (President) SILVIA SIRI (President) LESSONS LESSONS START Monday, February 20th, 2017. Class schedule MODELS AND METHODS FOR AUTOMATION EXAMS EXAM DESCRIPTION Written and oral exams. Exam schedule Data appello Orario Luogo Degree type Note 16/01/2018 10:00 SAVONA Scritto 08/02/2018 10:00 SAVONA Scritto 01/06/2018 10:00 SAVONA Scritto 28/06/2018 10:00 SAVONA Scritto 18/07/2018 10:00 SAVONA Scritto 05/09/2018 10:00 SAVONA Scritto 19/12/2018 10:00 SAVONA Scritto
