Technical implementation of a Digital Process Twin in an entire value stream

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Home Courses Technical implementation of a Digital Process Twin in an entire value stream

Type of course:

Digital learning, Path

Language:

EN

Duration:

3 hours

Workload:

14 hours

Proficiency:

Intermediate

Target:

Manager, Professionals, Students, Workers

This learning path begins with a basic definition of digital process twin and also includes learning topics like Data generation (sensors /traceability system), tactical data flow for DPT generation in a simulation software, Traceability Demonstrator Basics, and Simulations in Manufacturing Ecosystems. finally the learning path ends with some use cases and a self-check of learning path technology.

Learning outcomes

After completing the learning path, the learner is able to identify appropriate technologies supporting the construction of a Digital Process Twin.
After completing the learning path, the learner is able to simulate the production process and analyze generated data.
After completing the learning path, the learner is able to improve the production process based on the analyses from a Digital Process Twin.

LessonBasic Definition of the Digital Process Twin

Course Content

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Basic Definition of the Digital Process Twin 12 Unities

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0% Complete 0/12 Steps

Basic Definition of Digital Process Twin

Introduction to digital twin

Application of DPT

Benefits of DPT

Future Outlook in Industry

Further Material

Summary and Credits

LessonBasic Definition of Traceability

Course Content

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Basic Definition of Traceability 11 Unities

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0% Complete 0/11 Steps

Digital Twin & Traceability

What is traceability?

A Framework for Traceability

Who handles the Traceability

Traceability Implementation Benefits

Applications in different areas

Challenges of the traceability

Further Material

Summary and Credits

LessonFoundation of data systems

Course Content

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Foundation of data systems 14 Unities

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0% Complete 0/14 Steps

Foundation of data systems

Key components of the Data systems

Relational Data bases

NoSQL Databases

In-Memory Databases

Graph Data bases

Time-series Data bases

Columnar Data bases

Summary and Credits

LessonData generation (sensors /traceability system)

Course Content

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Data generation (sensors /traceability system) 7 Unities | 1 Quiz

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0% Complete 0/7 Steps

Data generation (Sensors / Traceability System)

Data types, formats, and frequencies

Agregation levels

Interactive quiz

Summary and Credits

LessonData Gathering (Communication protocols & IoT platform)

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Data Gathering (Communication protocols & IoT platform) 6 Unities | 1 Quiz

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0% Complete 0/6 Steps

Data Gathering (IoT Platforms & Communication Protocols)

Data Gathering in Manufacturing

Interactive quiz

Summary and credits

LessonHow to visualize the gathered data and generate information

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How to visualize the gathered data and generate information 9 Unities

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How to visualize the gathered data and generate information

Introduction to data visualization

Working with data

Types of elementary graphs.

Interactive Visualizations in Manufacturing

Summary and Credits

LessonCyber Physical Systems in production

Course Content

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Cyber Physical Systems in production 5 Unities

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0% Complete 0/5 Steps

Cyber Physical Systems in production

Cyber-Physical Systems (CPS)

LessonPractical use of machine learning in python for data processing

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Practical use of machine learning in python for data processing 5 Unities

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Practical Use of Machine Learning in Python for Data Processing

Practical Use of Machine Learning in Python for Data Processing

LessonPractical data flow for DPT generation in a simulation software

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Practical data flow for DPT generation in a simulation software 10 Unities

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0% Complete 0/10 Steps

Practical data flow for DPT generation in a simulation software

Introduction about Simulation

Modelling Approach in Tecnomatix Plant Simulation

Simulation of a real-world problem

Simulation Result

Relevance with Digital Twins

Further Material

Summary and Credits

LessonTraceability Demonstrator Basics

Course Content

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Traceability Demonstrator Basics 10 Unities

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Traceability Demonstrator Basics

Trace or Track?

After Sale and Challenges for the introduction of traceability systems

Structure of a traceability system

Production logistic

RFID Sensors for object identification

Further Material

Summary and Credits

LessonSimulations in Manufacturing Ecosystems

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Simulations in Manufacturing Ecosystems 5 Unities

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0% Complete 0/5 Steps

Simulations in manufacturing ecosystems

Simulations in Manufacturing Ecosystems

LessonDecision support systems (How to benefit of the use of DPT, brief introduction into Machine Learning)

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Decision support systems (How to benefit of the use of DPT, brief introduction into Machine Learning) - 12 Unities

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Decision Support Systems

Decision Support Systems (DSS)

Categories & Components

Role of Decision Support systems

Important Considerations

Artificial Intelligence

Machine Learning & Digital Twin

Predictive Quality, Condition Monitoring, and Text Mining

Further Material

Summary and Credits

LessonUse Case: Digital Value Stream Mapping

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Use Case: Digital Value Stream Mapping 8 Unities

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0% Complete 0/8 Steps

Digital Value Stream Mapping

Design model of the value stream mapping system in the learning factroy CiP at TU Darmstadt

Demonstrator: Digital Value Stream Mapping

Practical Implementation of the Demonstrator

Further Material

Summary and Credits

LessonUse case: Practical implementation of a Traceability system

Course Content

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Use case: Practical implementation of a Traceability system 12 Unities

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Use case: Practical implementation of a Traceability System

Target formulation for an active component traceability

Selection of use cases to define the target process

Components of demonstrator

Data processing

Data processing charts

Overview about traceability systems

Use cases of active component traceability

Further Material

Summary and Credits

LessonUse case: Indoor localization systems

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Use case: Indoor localization systems 8 Unities

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Use case: Indoor localization system

Indoor Localization

Overview about indoor localization systems

Use Cases of Indoor Localization Systems

Further Material

Summary and Credits

LessonReadiness check for companies regarding Traceability Systems

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Readiness check for companies regarding Traceability Systems 12 Unities

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Readiness check for companies regarding Traceability Systems

Level 1: Manual data acquisition and digitization

Level 2: Automatic data acquisition

Level 3: Connection of traceability systems and existing data sources

Level 4: Real time calculation of Key Performance Indicators (KPIs)

Level 5: Active traceability system with dynamic process control

Maturity level determination for companies

Further Material

Summary and Credits

Lessonself-check of learning path technology

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self-check of learning path technology 3 Unities | 1 Quiz

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0% Complete 0/3 Steps

self-check of learning path technology

Self-check of learning path technology

Topics

Digital Transformation, Digital Twin

Provided by

Intechcentras
TU Darmstadt
Soraluce
Ideko

Content created in 2023

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