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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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097311 - MANUFACTURING SYSTEMS ENGINEERING
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| Docente |
Terkaj Walter
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| Cfu |
10.00
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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 (479) MANAGEMENT ENGINEERING - INGEGNERIA GESTIONALE | * | A | ZZZZ | 097311 - MANUFACTURING SYSTEMS ENGINEERING | | Ing Ind - Inf (Mag.)(ord. 270) - BV (483) MECHANICAL ENGINEERING - INGEGNERIA MECCANICA | * | A | ZZZZ | 097311 - MANUFACTURING SYSTEMS ENGINEERING |
| Programma dettagliato e risultati di apprendimento attesi |
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Goals
Manufacturing companies must be able to design and modify their production systems which are continuously evolving together with the products they produce. The course provides a framework, quantitative methods and relevant competences to design manufacturing systems and to manage their lifecycle in coordination with the lifecycle of products and processes in order to enhance the industrial competitiveness.
At the end of this course the student will be able to analyze and design a reconfigurable production system while considering the relations with the lifecycle of products and processes.
Topics
Manufacturing Strategy and business models related to the coevolution of product, process and system: Manufacturing systems lifecycle, strategic and technical aspects of flexibility and reconfigurability, examples of flexible and reconfigurable manufacturing/de-manufacturing systems.
Strategic design of Manufacturing systems. Analytic Hierarchy Process (AHP) and stochastic programming techniques for the design of evolving manufacturing systems considering uncertainty and multiple objectives.
Technical design of Manufacturing systems. Relations between technological specifications and production system typologies. Continuous-time Markov chains, approximate analytical methods, Gradient-based methods for the optimization of manufacturing systems.
Design of Manufacturing Systems Control. Optimization of token based production policies. Hedging point policies.
Manufacturing companies must be able to design and modify their production systems which are continuously evolving together with the products they produce. The course provides a framework, quantitative methods and relevant competences to design manufacturing systems and to manage their lifecycle in coordination with the lifecycle of products and processes in order to enhance the industrial competitiveness.
At the end of this course the student will be able to analyze and design a reconfigurable production system while considering the relations with the lifecycle of products and processes.
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| Note Sulla Modalità di valutazione |
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Organization and Exams
Class-works in computer-lab for applying methodologies and tools to manufacturing systems engineering problems.
A technical visit to an industrial plant will be organized.
The assessment will consist of a final exam (written test) to check the learning of concepts, models and techniques analyzed in the course, the ability to model, analyze, and design a production system as well as planning the improvement phase of an evolving system. Students will be given the possibility to improve the final grade through an optional oral exam and/or an optional project work related to the topics of the course.
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L. Saaty, Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process, Editore: RWS Publications, Pittsburg, PA, USA, Anno edizione: 1994, ISBN: 0-9620317-6-3
Note:Pagine consigliate: IX-XIV; 1-43
J.R. Birge, F. Louveaux, Introduction to Stochastic Programming, Editore: Springer - Verlag New York, Anno edizione: 1997, ISBN: 0-387-98217-5
Note:Pagine consigliate: 3-15; 49-55; 83-92; 137-145; 155-165
A. Di Gennaro, A. Giua, Sistemi ad eventi discreti, Editore: McGraw-Hill, Anno edizione: 2002, ISBN: 88-386-0863-6
Note:Pagine consigliate: 83-129.
D.D. Yao, Stochastic Modeling and Analysis of Manufacturing Systems, Editore: Springer Verlag New York, Anno edizione: 1994, ISBN: 3-540-94319-6
Note:Pagine consigliate: 1-13.
J.A. Buzacott, J.G. Shanthikumar, Stochastic Models of Manufacturing Systems, Editore: Prentice-Hall, Anno edizione: 1993, ISBN: 0-13-847567-9
Note:Pagine consigliate: 365-377.
S.B. Gershwin, Manufacturing Systems Engineering, Editore: Prentice-Hall, Anno edizione: 1994
Note:Pagine consigliate: XVII-XIX; 1-18; 59-99.
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Tipo Forma Didattica
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Ore didattiche |
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lezione
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60.0
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esercitazione
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40.0
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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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0.0
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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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