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Risorse bibliografiche
Risorsa bibliografica obbligatoria
Risorsa bibliografica facoltativa
Scheda Riassuntiva
Anno Accademico 2017/2018
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 097311 - MANUFACTURING SYSTEMS ENGINEERING
Docente Terkaj Walter
Cfu 10.00 Tipo insegnamento Monodisciplinare

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*AZZZZ097311 - MANUFACTURING SYSTEMS ENGINEERING
Ing Ind - Inf (Mag.)(ord. 270) - BV (483) MECHANICAL ENGINEERING - INGEGNERIA MECCANICA*AZZZZ097311 - MANUFACTURING SYSTEMS ENGINEERING

Programma dettagliato e risultati di apprendimento attesi

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.


Note Sulla Modalità di valutazione

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.


Bibliografia
Risorsa bibliografica facoltativaL. 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

Risorsa bibliografica facoltativaJ.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

Risorsa bibliografica facoltativaA. Di Gennaro, A. Giua, Sistemi ad eventi discreti, Editore: McGraw-Hill, Anno edizione: 2002, ISBN: 88-386-0863-6
Note:

Pagine consigliate: 83-129.

Risorsa bibliografica facoltativaD.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.

Risorsa bibliografica facoltativaJ.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.

Risorsa bibliografica facoltativaS.B. Gershwin, Manufacturing Systems Engineering, Editore: Prentice-Hall, Anno edizione: 1994
Note:

Pagine consigliate: XVII-XIX; 1-18; 59-99.


Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
60.0
esercitazione
40.0
laboratorio informatico
0.0
laboratorio sperimentale
0.0
progetto
0.0
laboratorio di progetto
0.0

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese
schedaincarico v. 1.6.1 / 1.6.1
Area Servizi ICT
08/12/2019