M3-en f

Self-test questions for Module 3 - Key Operations: Optimizing Key Processes through Digital & Green Transformation

3.1. Eco-design and sustainable manufacturing

3.1. Eco-design and sustainable manufacturing

Which of the following digital technologies is commonly used in Eco-design for simulating and analyzing environmental impacts throughout a product's life cycle?

Virtual Reality (VR)

Generative Design Software

Simulation Software

Design Collaboration Platforms

True or False: Eco-design and Sustainable Manufacturing are interchangeable terms with no significant differences.

True

False

True or False: Augmented Reality (AR) is not utilized in Eco-design and does not contribute to enhancing sustainable practices.

True

False

Among the digital technologies mentioned for Eco-design, which one focuses on creating designs that meet specific criteria while utilizing minimal resources?

Design Collaboration Platforms

Generative Design Software

Life Cycle Assessment Software

Virtual Reality (VR)

What is the primary objective of Design Collaboration Platforms in the context of sustainable manufacturing?

Reducing Production Costs

Enhancing Team Communication

Accelerating Production Speed

Minimizing Environmental Impact

3.2. Predictive maintenance and process optimization

3.2. Predictive maintenance and process optimization

Which digital technology is commonly used for real-time data analysis in predictive maintenance for manufacturing?

Cloud computing

Blockchain

Internet of Things (IoT) sensors

Machine Learning (ML)

If you want to connect a large number of devices and facilitate faster data transmission in the context of predictive maintenance, which technology would you choose?

Blockchain

5G Connectivity

Big Data Analytics

Predictive Maintenance Platforms

True or False: Predictive Maintenance primarily relies on historical data and does not involve real-time monitoring of equipment health.

True

False

True or False: Blockchain is a key technology for data security and transparency in predictive maintenance platforms.

True

False

3.3. Intelligent logistics and supply chain optimization

3.3. Intelligent logistics and supply chain optimization

External logistics:

Is one of the primary activities that make up intelligent logistics

Includes also storage of materials

Support product after sale

Smart logistics is the result of applying Industry 4.0 principles in logistics.

True

False

The electronic tracking of wood from the moment it is cut in the forest to its final use through incorporation into products is an example of:

Wood mass inventory

Block chain technology

Industrial logistics

A significant predictor of supply chain agility is:

Manufacturing cycle time

Block chain technology

Supply chain visibility

The creation of the supplier management system with the support of machine learning and artificial intelligence technologies, allows:

Reduction of counterfeit commercial losses

Quick decision making without any human intervention

Efficient auditing

3.4. Quality control and traceability

3.4. Quality control and traceability

Quality control in Industry 4.0 is an optional process of the production.

True

False

In intelligent quality control the ability of multiple systems to understand and use each other's features independently using proper synchronization of communication protocols and standards represents:

Safety in human

Interoperability

System integration

In the ISO/IEC 18000 standard series, the concepts are explained in the section:

ISO/IEC 18000-1

ISO/IEC 18000-3

ISO/IEC 18000-6

In a RFID system the signal is transmitted by the:

Tag

Reader

Data processing system

An RFID may prevent the theft of products.