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Cyber Physical Systems and Digital Twins
Module developed by ingenjör4.0

Cyber Physical Systems and Digital Twins

Starting date: 11/07/2022
Price: 1 995 SEK ex. vat

This module covers the general terminology and concepts related to cyber- physical systems and digital twins.

Overview

Cyber-Physical Systems (CPS) can be defined as systems composed of collaborating computational entities which are in intensive connection with the surrounding physical world and its on-going processes, providing and using data-accessing and data-processing services available on the internet (Monostori 2014).

In this sense, Cyber-Physical Production Systems (CPPS) can be understood as systems that consist of autonomous and cooperative elements/sub-systems that are getting into connection with each other in situation-dependent ways, on and across all levels of production, from processes, production lines, to logistics networks.

As pointed out by Monostori (2014), modeling the operation of CPPS and also predicting their emergent behavior raises a series of basic and application-oriented research tasks. Above all, integration of analytical and simulation-based models to their physical counterparts, i.e., Digital Twins (DT), can be projected to become more significant than ever in industrial applications.

This introduction module will cover the general terminology and concepts related to CPS and DT, particularly an overview of their different industrial application possibilities, e.g., product design, manufacturing systems design, configuration, planning, scheduling & optimization, distributed control, and maintenance.

The schedule
November 7 – The module starts
November 8, 3:00 PM - 4:00 PM CET — 1st Webinar – “Virtual Commissioning Workshop”
December 06, 3:00 PM - 4:00 PM CET — 2nd Webinar – “Discussion Forum”
Learning objectives
Recognize and explain the terminology for key concepts and technologies of CPS and DT within the context of Industry 4.0.
Understand the state-of-the-art of DT for the process/cell/line level engineering and their possible uses for verification, analysis and optimization.
Describe different CPS and DT applications scenarios in manufacturing.
Through a survey and review, propose a possible application of CPS and DT in industry.
Module structure

The learning module is a mixture of self-study, webinars, and cross-company exercises.

Time commitment

To complete this module, the participant is expected to schedule approximately 4 hours per week over 5 weeks (20 hours in total).

Content
Important

Please note that a minimum of 10 participants is required for the module to start.

After applying to the program, please secure dates in your calendar to be able to join planned webinars and assure time available required for learning.

A unique module created in co-operation between academic partners
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