A BIBLIOMETRIC REVIEW OF OPERATIONS RESEARCH IN THE AIRLINE INDUSTRY
The analyses show that scheduling, machine learning, artificial intelligence and cloud computing are the current driving motor basic themes of the field, and crew scheduling, fleet assignment, and spare parts are internally well-developed isolated niche themes.
The analyses also show the general evolution of OR research in airline scheduling and revenue management, from the current focus on operations/analytics to the future focus on AI/technology. While technically mature, the fields of airline OR have remaining weaknesses: lack of integration across planning stages, narrow dataset validation of machine learning models, inconsistent accounting for uncertainty, and limited consideration of sustainability. These findings guide future OR research directions to develop integrated, uncertainty-aware OR frameworks in airline operations.
Saxena, D. R. K., Sahoo, D., Choksi, H., Mohapatra, H., Ramchandani, D. & Machhar, I. (2026). A Bibliometric Review of Operations Research in the Airline Industry. International Journal of Science, Strategic Management and Technology, 02(10), 1-9. https://doi.org/10.55041/ijsmt.v2i10.019
Saxena, Dr, et al.. "A Bibliometric Review of Operations Research in the Airline Industry." International Journal of Science, Strategic Management and Technology, vol. 02, no. 10, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijsmt.v2i10.019.
Saxena, Dr,Dityanshi Sahoo,Hetansh Choksi,Hritish Mohapatra,Devansh Ramchandani, and Ishaan Machhar. "A Bibliometric Review of Operations Research in the Airline Industry." International Journal of Science, Strategic Management and Technology 02, no. 10 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijsmt.v2i10.019.
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