How Has ‘AI and Me’ Changed Manufacturing in the Aerospace Industry?
An analytical literature review of the use of AI and Me (Artificial Intelligence in collaboration with humans) by Boeing and Airbus in Manufacturing within the Aerospace sector.
THIS IS A ‘Analytical literature review based dissertation’
The research objectives of the project are as follows;
1. To expand the literature on the use of artificial intelligence and human collaboration in manufacturing within the aerospace sector. How has AI changed the Aerospace sector over the years and what are the next steps for AI? How can the use of AI and Me in other manufacturing industries be applied to the Aerospace sector?
2. Analyse the advantages and disadvantages of the use of AI and Me (Artificial and Human Collaboration) in Manufacturing within the Aerospace Sector. What are the political, socio-cultural, technological, environmental, and legal advantages and disadvantages?
3. Analyse ‘AI and Me’ from a business standpoint (Pay-off vs. Investment), by looking at the economic benefits of incorporating AI and Me into existing systems or by introducing new systems that will improve manufacturing.
Main Chapters:
• Abstract (300 words)
• Chapter 1: Introduction (already completed, see attached file – 1000 words approx.)
• Chapter 2: Literature Review – Critically answering Objective 1 (2600 words approx.)
• Chapter 3: Literature Review – Critically answering Objective 2 (2600 words approx.)
• Chapter 4: Literature Review – Critically answering Objective 3 (2600 words approx.)
• Chapter 6: Conclusion (also include gaps, future work etc.) (1,200 words approx.)The total Word count for chapters 2, 3 and 4 word count should be around = 7,500-8000 approximately.
