Introduction to Industry 4.0
Instructions:
- The marks are indicated in the right-hand margin.
- There are NINE questions in this paper.
- Attempt FIVE questions in all.
- Question No. 1 is compulsory.
Which of the following is considered a key characteristic of Industry 4.0?
The main objective of LEAN Production Systems is to
A Cyber Physical System combines
Which technology is primarily used to create secure and tamper-resistant transaction records?
Cloud computing enables organizations to
Microsoft Azure is widely used for
An industrial application of AR is
The Industrial Internet of Things mainly connects
A major cybersecurity challenge in Industry 4.0 is
UAV stands for
Define Industry 4.0 and explain the major characteristics of the Fourth Industrial Revolution.
Explain how globalization has influenced the adoption of Industry 4.0 technologies across various industrial sectors. Illustrate your answer with suitable examples.
Explain how Artificial Intelligence, Big Data and Blockchain technologies contribute to the realization of Industry 4.0. Support your answer with examples.
Describe the architecture and components of a Cyber Physical System in details.
Define cloud computing and explain the concepts of IaaS, PaaS and SaaS in the context of Industry 4.0 applications.
Analyze the advantages and challenges of cloud adoption in Industry 4.0 environments with respect to scalability, security and cost optimization.
Discuss how AR technologies assist industrial workers in maintenance, assembly, training and quality inspection processes.
Define Augmented Reality and Virtual Reality. Explain the major hardware and software components used in AR systems.
Describe the architecture of Industrial Internet of Things systems and explain the key enablers of IIoT.
Explain how IIoT technologies facilitate industrial automation, process monitoring and data-driven decision-making.
Discuss real-world applications of Industry 4.0 technologies in the oil, chemical, manufacturing and pharmaceutical industries.
Explain the role of Unmanned Aerial Vehicles in industrial inspection, surveillance, logistics and disaster management applications.
A manufacturing industry experiences frequent machine failures. Demonstrate how AI and Big Data Analytics can be applied to implement predictive maintenance.
Evaluate the challenges of AR implementation in industrial environments and design an AR-based maintenance support system for a smart factory.
Analyze the differences between traditional manufacturing systems and smart connected enterprises
Compare 8 points of AWS, Azure and GCP for a smart manufacturing system
Analyze the major cybersecurity threats and vulnerabilities associated with IIoT infrastructures in Industry 4.0
Analyze and compare Industry 4.0 implementation strategies adopted by manufacturing and pharmaceutical industries. Discuss key benefits and challenges
