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Risorsa bibliografica obbligatoria |
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Risorsa bibliografica facoltativa |
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Anno Accademico
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2017/2018
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Scuola
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Scuola di Ingegneria Industriale e dell'Informazione |
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Insegnamento
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051130 - INTEGRATED MANUFACTURING SYSTEMS
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| Docente |
Matta Andrea
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| Cfu |
8.00
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Tipo insegnamento
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Monodisciplinare
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| Corso di Studi |
Codice Piano di Studio preventivamente approvato |
Da (compreso) |
A (escluso) |
Insegnamento |
| Ing Ind - Inf (Mag.)(ord. 270) - BV (483) MECHANICAL ENGINEERING - INGEGNERIA MECCANICA | * | A | ZZZZ | 051130 - INTEGRATED MANUFACTURING SYSTEMS |
| Programma dettagliato e risultati di apprendimento attesi |
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Course Objectives
The course describes the base knowledge of integrated manufacturing systems and provides the essential theoretical and practical elements for their analysis, design, and management.
After completing the course, students should:
- Have the basic knowledge of integrated manufacturing systems
- Have the basic knowledge of simulation for modeling integrated manufacturing systems
- Be able to develop simulation models, execute experiments and understand results
- Be able to design and manage integrated manufacturing systems.
Learning Contents
Integrated manufacturing systems. Students will learn the base elements of integrated manufacturing systems as well as their performance measures and design criteria.
List of contents - Introduction to integrated manufacturing systems. Flexible Manufacturing Systems. Manufacturing cells. Machining lines. Assembly lines. Job shops. Performance indicators. Relevant design variables.
Simulation for integrated manufacturing systems. Students will learn simulation techniques for measuring the performance indicators that are critical in the design and management of integrated manufacturing systems.
List of contents - Types of simulation: discrete event simulation, continuous simulation, agent based simulation. Entity Relationship Graphs. Random number generation. Random variate generation. Input modeling. Output modeling. Verification and validation. Selection of alternatives. Variance reduction. Management of simulation projects.
Laboratory. Students will receive the essential practical elements for developing and executing, in a dedicated software environment, simulation models representing complex integrated manufacturing systems.
List of contents – Arena software environment. Process oriented modeling concepts. Controlling pseudo-random numbers in simulation experiments. Collecting simulation statistics. Reading/writing from external sources. Batches of simulation experiments. Optimization via simulation.
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| Note Sulla Modalità di valutazione |
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The course consists of lectures, classwork in a computer room and laboratory activities.
The final test includes a written test, a project report with an oral discussion.
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Averill M. Law, Simulation Modeling and Analysis, Editore: Mc Graw Hill, Anno edizione: 2013, ISBN: 978-0-07-340132-4
Barry L. Nelson, Foundations and Methods of Stochastic Simulation. A First Course, Editore: Springer, Anno edizione: 2013, ISBN: 978-1-4614-6159-3
Stewart Robinson, Simulation. The Practice of Model Development and Use, Editore: Palgrave MacMillan, Anno edizione: 2014, ISBN: 978-1-137-32802-1
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Tipo Forma Didattica
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Ore didattiche |
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lezione
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44.0
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esercitazione
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30.0
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laboratorio informatico
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0.0
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laboratorio sperimentale
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0.0
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progetto
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0.0
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laboratorio di progetto
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14.0
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| Informazioni in lingua inglese a supporto dell'internazionalizzazione |
Insegnamento erogato in lingua
Inglese
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Disponibilità di materiale didattico/slides in lingua inglese
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Disponibilità di libri di testo/bibliografia in lingua inglese
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Possibilità di sostenere l'esame in lingua inglese
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Disponibilità di supporto didattico in lingua inglese
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