A clothing manufacturer struggles with inconsistent product quality due to variations in fabric thickness. They need a technology to monitor fabric characteristics during the cutting process and adjust cutting parameters in real-time for optimal results.

• Big Data Analytics

• Cloud Computing

• Industrial Internet of Things (IIoT) with Sensors

• Additive Manufacturing (3D Printing)

A car manufacturer wants to optimize the efficiency of their paint shop. They need to collect and analyze data on temperature, humidity, and paint application to identify areas for improvement in the painting process.

• digital twin

• Sensor with analytics

• Advance material

• Autonomous robot

A food processing plant faces challenges in predicting equipment failures before they occur. They need a technology to monitor equipment performance and send alerts for potential issues to prevent costly downtime.

• Big Data Analytics with Predictive Maintenance Software

• Cloud Computing

• Additive Manufacturing (3D Printing)

• Digital Twins

An aerospace company wants to create a virtual model of a new aircraft to simulate its performance and identify potential design flaws before building a physical prototype.

• Autonomous robot

• Digital twin

• AI

• Augmented Reality

Industry 4.0 offers significant potential for improvements in:

• Manual labor efficiency only.

• Overall manufacturing efficiency and productivity.

• Reduced environmental impact without production improvements.

• Limited data visibility for decision making.

Which of the following is NOT a core technology driving Industry 4.0?

• Big Data Analytics

• Cloud Computing

• Advanced Robotics

• 3D Printing (Additive Manufacturing)

What is the concept of a "smart factory" associated with Industry 4.0?

• A factory with a focus on employee well-being.

• A factory that utilizes connected machines and data analysis to optimize production.

• A factory that uses only renewable energy sources.

• A factory with a focus on manual craftsmanship.

Before implementing autonomous robots, it's crucial to:

• Focus solely on acquiring the most advanced robots available

• Conduct a thorough cost-benefit analysis considering application and ROI

• Prioritize speed of robot deployment over proper training for workers

• Ignore the need for modifications to the existing production layout

A company wants to analyze sensor data from its machines to identify areas for improvement in production efficiency. What technology is most relevant for this scenario?

• Advanced Robotics

• Cyber-Physical Systems (CPS)

• Big Data Analytics

• 3D Printing (Additive Manufacturing)

When considering autonomous robot implementation, a major safety consideration is:

• Ensuring robots can complete tasks faster than humans

• Implementing robust safety protocols to prevent accidents with workers

• Prioritizing cost-efficiency over extensive safety measures

• Eliminating the need for safety training for human workers