Abstract
Material shortage in-flight catering involves delays in the supply of alcohol, food, beverages, and carts to scheduled flights, leading to operational inefficiencies. We will try to find the root cause using Machine Learning techniques, such as vendor unavailability, transportation delays, raw material shortage, and other factors that may lead to the problem. Sample data will be used to simulate real-world situations and develop predictive solutions for shortage optimization. The findings point out the possible benefits of data-driven decision-making to accelerate production and delivery processes within in-flight catering.
Keywords
Flight Catering, Material Shortage, Machine Learning, Optimization, Predictive Analytics
Citations
IRE Journals:
Pallab Haldar "Optimizing Material Shortages in Flight Catering with Machine Learning" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 408-413
IEEE:
Pallab Haldar
"Optimizing Material Shortages in Flight Catering with Machine Learning" Iconic Research And Engineering Journals, 9(5)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
Important Links
For Authors
Volume 8:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 7:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 6:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 5:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 4:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 3:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12