Introduction

Question 1

Name the development steps from reactive measures to predictive quality 4.0

Answer 1

• reaction (Quality Control and Sorting)
• control (Quality Assurance on statistical basis)
• prevention (Quality Management at all levels)
• integration (Comprehensive Quality Concepts)
• prediction (Quality 4.0)

Question 2

Name the Principles of classical Quality Management

Answer 2

• Leadership
• Mutually beneficial supplier relationships
• Customer focus
• involvement of persons
• fact-based decision-making
• systematic approach
• process-oriented approach
• continuous improvement

–> the principles of quality management are maintained, just the way to reach them will change with the introduction of Quality 4.0

Question 3

What does the Aachen Quality Management Model?

Answer 3

The Aachen Quality Management Model (ACQMM) stretches the frame of quality management by considering three
perspectives: customer perspective, management perspective & operational perspective.

Question 4

How does the work of a quality manager change ?

Answer 4

In the future, quality managers will have to focus on the evaluation of quality-relevant data and therefore need
competences in machine learning

Question 5

Name the Tasks of an quality manager (new quality management 4.0)

Answer 5

1. Collect and Integrate Data (Recording and Storing Data)
2. Create predictive and statistical models (Recording and Storing Data)
3. Gain analytical insights (Processing Data)
4. Display warnings and recommend actions (Generating Knowledge)
5. act according to findings (Generating Knowledge)

Question 6

5G-Technology as Enabler for Future Manufacturing

Name the three characteristics and further basic information

Answer 6

• 3 characteristics: : Enhanced mobile broadband (emBB), Utra-reliable and low latency communication
  (URLLC) and massive machine type communication (mMTC)
• 5G Testbed in operation at IPT since March 2018; Full spec 3,5 GHz 5G NR pre-commercial prototype system

Question 7

Name the task of middleware+

Answer 7

Connecting entities in the production network providing access to data sources
by merging and synchronizing data sinks and data sources

Question 8

Advantages of using prediction of production quality using Classification

Answer 8

1. Increase of production quality
2. reduce cost and increase revenue
3. increase production efficiency