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Risorse bibliografiche
Risorsa bibliografica obbligatoria
Risorsa bibliografica facoltativa
Scheda Riassuntiva
Anno Accademico 2023/2024
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 054201 - MANUFACTURING SYSTEMS ENGINEERING
  • 054199 - MANUFACTURING SYSTEMS ENGINEERING I
Docente Tolio Tullio Antonio Maria
Cfu 5.00 Tipo insegnamento Modulo Di Corso Strutturato

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*AZZZZ054952 - MANUFACTURING SYSTEMS ENGINEERING II
054202 - MANUFACTURING SYSTEMS ENGINEERING I
Ing Ind - Inf (Mag.)(ord. 270) - BV (483) MECHANICAL ENGINEERING - INGEGNERIA MECCANICA*AZZZZ054201 - MANUFACTURING SYSTEMS ENGINEERING
059654 - MANUFACTURING AND DE-MANUFACTURING SYSTEMS ENGINEERING
054202 - MANUFACTURING SYSTEMS ENGINEERING I
097311 - MANUFACTURING SYSTEMS ENGINEERING
Ing Ind - Inf (Mag.)(ord. 270) - MI (498) FOOD ENGINEERING*AZZZZ054202 - MANUFACTURING SYSTEMS ENGINEERING I

Obiettivi dell'insegnamento

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/ de-remanufacturing systems and to manage their lifecycle in coordination with the lifecycle of products and processes in order to enhance the industrial competitiveness and sustainability.

The goals of the course are:

  • Understand context, functions, processes in a business and industrial environment and the impact of those factors on sustainability and business performance;
  • Identify trends, technologies and key methodologies in industrial domain;
  • Design solutions applying a scientific and engineering approach (Analysis, Learning, Reasoning, and Modelling capability deriving from a solid and rigorous multidisciplinary background) to face problems and opportunities in a business and industrial environment.

The methodologies studied in the course will be applied within the Project lab to a real case study. The Project lab is part of the innovative didactics program of Politecnico di Milano. 


Risultati di apprendimento attesi

After passing the exam, the student will be able to:

  • Understand the current industrial and societal context;
  • Appraise the key strategic and technological trends in the manufacturing/de-remanufacturing industry;
  • Give examples of the co-evolution of sustainable products, processes and production systems;
  • Analyze production problems and devise the requirements for manufacturing/de-remanufacturing systems;
  • Identify, compare and choose production system architectures:
  • Plan the acquisition of production capacity;
  • Design the configuration of manufacturing/de-remanufacturing systems.

After completing the Project lab, the student will be able to:

  • Write a technical project report;
  • Present the results achieved during the analysis, modelling and testing activities.

 

The course is based on lectures, classworks, project lab and optional activities. Guest international speakers will be invited to give special lectures. The Project lab is part of the innovative didactics program of Politecnico di Milano. 


Argomenti trattati

Manufacturing Strategy and business models related to the sustainable coevolution of product, process and system. Manufacturing systems lifecycle and sustainability. Strategic and technical aspects of flexibility and reconfigurability. Examples of flexible and reconfigurable manufacturing/de-manufacturing systems. New business models. Production systems architectures.

Strategic design of Manufacturing systems. Analytic Hierarchy Process (AHP) for decision support in multi-criteria and multi-objective contexts. Stochastic programming techniques for the design of evolving manufacturing/de-remanufacturing systems considering uncertainty and multiple objectives; modelling of future scenarios.

Design of Manufacturing/de-remanufacturing systems. Introduction to methods for performance evaluation of complex manufacturing systems. Optimization of the configuration of manufacturing/de-remanufacturing  systems based on the quantitative results of performance evaluation. Methods for the optimization of manufacturing/de-remanufacturing systems.


Obiettivi di sviluppo sostenibile - SDGs
Questo insegnamento contribuisce al raggiungimento dei seguenti Obiettivi di Sviluppo Sostenibile dell'Agenda ONU 2030:
  • SDG9 - INDUSTRY, INNOVATION AND INFRASTRUCTURE
  • SDG12 - RESPONSIBLE CONSUMPTION AND PRODUCTION

New sustainable business models (3h of lectures)

Selection of systems and technologies for manufacturing/de-remanufacturing based on quantitative and qualitative evaluations (3h of lectures + 3h exerceses + 4h Project lab)

Optimizations of manufacturing/de-remanufacturing system design (3h lecture + 3h exercises + 4h Project lab)

Scenario based analisys and decision for manufacturing/de-remanufacturing system evolution (9h lectures+ 3h exercises +6h Project lab)

 


Prerequisiti

None.


Modalità di valutazione

The assessment will be based on a final exam and the evaluation of the Project lab reports. Project lab reports are required during the semester and are aimed at assessing the capability of applying the knowledge to a real case. The final exam consist of a written test including practical and theoretical exercises.  Practical exercises assess the ability to understand and analyse realistic industrial problems and then create appropriate models based on the learnt methodologies to design manufacturing systems and evaluate the impact of possible reconfigurations. Theoretical exercises request to describe and elaborate on concepts, models, techniques and methodologies presented during the course. 

 

In addition to the mandatory evaluation, students will be given the possibility to improve the final grade through:

  • an optional oral exam on theoretical and practical questions related to the topics included in the program (max 3 points);
  • optional project work (max 3 points). The work will focus either on the application of a learnt methodology to a real industrial case or the further development of a learnt methodology.

In total, a maximum of 4 points can be added to the grade of the written test.


Bibliografia
Risorsa bibliografica obbligatoriaProfessor's Notes: page on BeeP platform https://beep.metid.polimi.it/web/108910323
Risorsa bibliografica obbligatoriaTolio, Tullio, Bernard, Alain, Colledani, Marcello, Kara, Sami, Seliger, Guenther, Duflou, Joost, Guschinskaya Battaia, Olga, Takata, Shozo, Design, management and control of demanufacturing and remanufacturing systems/CIRP ANNALS, Editore: Elsevier, Anno edizione: 2017, ISSN: 0007-8506, Fascicolo: vol. 66, p. 585-609 doi: 10.1016/j.cirp.2017.05.001
Risorsa bibliografica obbligatoriaCOLLEDANI, MARCELLO, TOLIO, TULLIO ANTONIO MARIA, Fischer, Anath, Iung, Benoit, Lanza, Gisela, Schmitt, Robert, Váncza, József, Design and management of manufacturing systems for production quality/CIRP ANNALS, Editore: Elsevier, Anno edizione: 2014, ISSN: 0007-8506, Fascicolo: vol. 63, p. 773-796 doi: 10.1016/j.cirp.2014.05.002
Risorsa bibliografica obbligatoriaA. Di Gennaro, A. Giua, Sistemi ad eventi discreti, Editore: McGraw-Hill, Anno edizione: 2002, ISBN: 88-386-0863-6
Note:

suggested pages: 83-129

Risorsa bibliografica obbligatoriaD.D. Yao, Stochastic Modeling and Analysis of Manufacturing Systems, Editore: Springer Verlag New York, Anno edizione: 1994, ISBN: 3-540-94319-6
Note:

suggested pages: 1-13

Risorsa bibliografica obbligatoriaJ.A. Buzacott, J.G. Shanthikumar, Stochastic Models of Manufacturing Systems, Editore: Prentice-Hall, Anno edizione: 1993, ISBN: 0-13-847567-9
Note:

suggested pages: 365-377

Risorsa bibliografica obbligatoriaS.B. Gershwin, Manufacturing Systems Engineering, Editore: Prentice-Hall
Note:

suggested pages: XVII-XIX; 1-18; 59-99


Software utilizzato
Nessun software richiesto

Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
28:00
42:00
Esercitazione
18:00
18:00
Laboratorio Informatico
0:00
0:00
Laboratorio Sperimentale
0:00
0:00
Laboratorio Di Progetto
4:00
15:02
Totale 50:00 75:02

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. 1.8.3 / 1.8.3
Area Servizi ICT
02/03/2024