Libro adottato a Politecnico di Milano, a.a. 2026/2027 · 6 canali
«Averill – Simulation Modeling and Analysis» è adottato per Digital Twin Of Production Systems B dal prof. Andrea Matta (Automation and Control Engineering, Management Engineering, Mechanical Engineering - BV,PC – Politecnico di Milano); per Sistemi Integrati di Produzione dal prof. Marcello Urgo (Ingegneria Gestionale - BV – Politecnico di Milano); per Digital Twin Of Production Systems a dal prof. Andrea Matta (Mechanical Engineering - BV,PC – Politecnico di Milano); per Lab - Digital Production Systems dai docenti Elisa Negri e Nicla Frigerio (Mechanical Engineering - BV,PC – Politecnico di Milano).
Come lo indica il docente: Averill M. Law, Simulation Modeling and Analysis, Mc Graw Hill, Anno edizione: 2013, ISBN: 978-0-07-340132-4 · Averill M. Law, Simulation Modeling and Analysis, McGraw-Hill, Anno edizione: 2007, ISBN: 0071255192 · Averill M. Law, Simulation Modeling and Analysis, McGraw Hill, ISBN: 0073294411
Wil MCerca su Amazon ›Da studiare: P. van der Aalst, Process Mining: Data Science in Action, Springer, Anno edizione: 2018Verificato sulla scheda ufficiale il 03/10/2026
Argomenti del programma: The course consists of lectures and classwork modules on presence. A classwork module will be delivered in the Digital Lab to allow students to use state-of-the-art software for digital twins of production and discrete event systems. In the Physical Lab students will be required to conduct experiments oriented to accomplish problem-solving activities in a team.
Averill – Simulation Modeling and Analysisquesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Materiale didattico, lucidi delle lezioni e delle esercitazioni
Argomenti del programma: 1. Sistemi integrati di produzione: 1.1 Descrizione complessiva di un sistema FMS (Flexible Manufacturing System). 1.2 Componenti di un sistema FMS (caratteristiche, prestazioni, costi). 1.3 Flusso delle parti - trasportatori, buffer, shuttle, robot di carico/scarico, pallet e attrezzature. 1.4 Flusso degli utensili - trasportatori utensili, magazzini utensili, scambiatori utensili, tool room, coni portautensile.
Wil MCerca su Amazon ›Da studiare: P. van der Aalst, Process Mining: Data Science in Action, Springer, Anno edizione: 2018Verificato sulla scheda ufficiale il 03/10/2026
Argomenti del programma: The course consists of lectures and classwork modules on presence. A classwork module will be delivered in the Digital Lab to allow students to use state-of-the-art software for digital twins of production and discrete event systems. In the Physical Lab students will be required to conduct experiments oriented to accomplish problem-solving activities in a team.
Wil MCerca su Amazon ›Da studiare: P. van der Aalst, Process Mining: Data Science in Action, Springer, Anno edizione: 2018Verificato sulla scheda ufficiale il 03/10/2026
Argomenti del programma: The course consists of lectures and classwork modules on presence. A classwork module will be delivered in the Digital Lab to allow students to use state-of-the-art software for digital twins of production and discrete event systems. In the Physical Lab students will be required to conduct experiments oriented to accomplish problem-solving activities in a team.
Wil MCerca su Amazon ›Da studiare: P. van der Aalst, Process Mining: Data Science in Action, Springer, Anno edizione: 2018Verificato sulla scheda ufficiale il 03/10/2026
Argomenti del programma: The course consists of lectures and classwork modules on presence. A classwork module will be delivered in the Digital Lab to allow students to use state-of-the-art software for digital twins of production and discrete event systems. In the Physical Lab students will be required to conduct experiments oriented to accomplish problem-solving activities in a team.
Argomenti del programma: The course proposes industrial challenges in topics related to several areas, for example: Production System Design (as non exhaustive examples: system layout, buffer allocation, machine configuration); Plant/Production Planning and Control (as non-exhaustive examples: production scheduling, optimized energy consumption for production); Process Knowledge and Data Analysis (as non-exhaustive examples: analysis of the…
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