Conceptualizing a flexible plant through its Digital Twin with VALMET AUTOMOTIVE  on Dec. 4th

COMPANY:

Valmet Automotive (https://www.valmet-automotive.com/)

SEMINAR’s focus:

Identify different types of data and its potential use for a Digital Twin environment in a car factory.

DESCRIPTION:

A  digital representation of a real-world entity or system is referred to as a Digital Twin, its equivalente on a physical domain will be a Physical Twin. A Digital Twin models and mirrors specific peculiarities of the physical environment such as processes organization, person’s behavior and any other possible abstraction. The implementation of a Digital Twin is an encapsulated software object which is giving a digital model of the physical plant. Therefore it needs to collect lots of different data types and is involving different technologies such as IoT, Artificial Intelligence, Machine Learning, analytics, etc. All this information helps to understand objects and the place to enrich the digital representation of the physical world we are analyzing. Furthermore this allows us to make simulations models to update or optimize our physical environment according to specific needs.

In this seminar session our focus is on a Digital Twin environment in a car factory. Through the different expertise of the workshop’s participants, and working in collaboration, during the session we aim to detect diverse types of data and its potential use. The Digital Twin we will be working with, and the concepts we will develop should allow Valmet Automotive to optimize current operations and also conceptualize key aspects that would allow it to be a flexible plant to address future challenges.

Therefore, during this seminar we will focus on

  • What kind of data should we focus on?
  • Once we select the data to focus on, we should also ask the question: Why this data? For what purposes shall this data be used? What are potential use-cases or even business models in the future based on this data?

We shouldn’t stop, or hinder our ideas  by thinking how shall we collect this data. However, if thinking about the how inspires you to generate more concepts, we also aim to answer this question.

Another source of inspiration during the seminar session will be to hear about the current efforts of Valmet Automotive on their way to a data-driven company and Digital Twin environment. Nonetheless, we are free to explore any possibility we can imagine to conceptualize a Digital Twin for this automotive plant at Uusikaupunki.

Based on the reflections during this session, we aim to deliver different case scenarios of the use of these data for Digital Twin environments in a car factory.

DAY and TIME:

December 4th from 12pm to 4 pm

SEMINAR  LOCATION:

Agora building room 110 A+B

ENROLLMENT:

Please fill the following form to enroll in this session:

https://link.webropolsurveys.com/S/0B5422529AA064F8

Following the current situation of COVID-19, the Department of  Future Technology authorizes to impart this session face-to-face pursuant to the  department health guidelines:
a) The maximum number of participants to be present in this session will be 15 persons. Therefore, we have a limited number of seats available. These places will be granted according to the registration form of this session on the first-come, first-served basis.
b) The session is held in a classroom where all the participants can keep a safe distance between them. For this reason, the next session is allocated in the first floor of Agora building room 110 A+B.
c) We encourage the use of face masks and washing your hands.
d) A record of the participants will be kept after the session, in case it is needed to inform of any possible exposure to covid-19.
e) If someone from the risk groups wants to participate in the seminar please contact Paula Pietilä (papiet [at] utu.fi)
If the COVID-19 situation changes, we will inform to the participants enrolled to this session of any changes.

Enrollment closes on Wednesday Dec. 2nd at midnight.

PRE-ASSIGNMENT:

To get all of us prepared for this session, let’s start to get familiar with the topic and the company. For this purpose the pre-assignment consists of two tasks:

  1. According to your study discipline or your research expertise, explore:  how your discipline is addressing Digital Twins? In your search, detect an example of a Digital Twin concept or development that surprises you or inspires you.
  2. Get familiar with Valmet Automotive by watching the following videos:

Submission of your pre- assignment

Submit the report of your pre- assignment to Carolina Islas (caisse [@] utu.fi ), at latest on Thursday Dec. 3 at 13hrs. The report should answer the following questions:

  1. How is your discipline or research field addressing Digital Twins?  (include any relevant reference )
  2. What example did you find in your research of Digital Twins that surprised you or inspired you? Describe this example and the reason why it surprised you or inspired you.
  3. After watching the four videos from Valmet Automotive, enlist the processes (e.g. technical, organizational, operational)  that you detect from this automotive plant.
PUBLISHED ON by caissein Industrial Seminar on Future Technologies