Smart and Sustainable Operations Management in the Aviation Industry by Paksoy, Turan; Demir, Sercan;

Rövid leírás:

Industry 4.0 and disruptive technologies have transformed supply chains into globally connected collaborative networks. As supply chains become flexible, digital structures, the planning and operation phases of key processes become more complex. This book presents chapters on smart and sustainable supply chain management in aviation.

Hosszú leírás:

The ongoing impact of Industry 4.0 and disruptive technologies has transformed conventional supply chains into globally connected collaborative networks. As supply chains become flexible, agile, and digital structures, the planning and operation phases of the key business processes become more complex. This book presents state-of-the-art chapters on smart and sustainable supply chain management in the aviation industry.

The aviation industry is one of the main industries affected by the rapid transformation initiated by the Fourth Industrial Revolution. Disruptive technologies, such as artificial intelligence, augmented reality, advanced sensor systems, and autonomous robots, are shaping the future of the aviation industry. In this sense, conventional aviation operations are being replaced by innovative ones, and aviation companies need to switch their business models. This transformation is required due to the increasing economic, environmental, and social concerns.Smart and Sustainable Operations Management in the Aviation Industry: A Supply Chain 4.0 Perspective addresses these changes in the aviation industry.

This book covers a wide range of topics, including key business operations in aviation, productivity improvement strategies in the aviation industry, and promising applications of disruptive technologies for aviation companies.

Tartalomjegyzék:

1. A Conceptual Framework for Smart and Sustainable Operations in the Aviation Industry. 2. Productivity and Strategy: A study on airports. 3. Air Passenger Demand Forecasting Using Machine Learning Algorithms: A Case Study of Turkey in Airline Industry. 4. Staff Scheduling Strategies in Aviation Industry. 5. The Internet of Things and Cyber-Physical Systems: Aviation Industry Applications. 6. Analyzing Airport Service Quality Through Sentiment Analysis Using Machine-Learning Techniques. 7. Blockchain in Aviation: Applications of Blockchain Technology in Aircraft Maintenance Management. 8. Augmented Reality and Virtual Reality Solutions in Aviation Industry. 9. AI, Robotics, and Autonomous Systems: Assessing AI applications in Aviation Industry. 10. Sustaibability in Airline Industry: Assessment of Airports.