Intelligent planning and scheduling system

• Main Author: Toh, Austen Jing Hao
• Other Authors: Zhang Jie
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/156438
• Institution: Nanyang Technological University

The airport is essential to numerous travelers and businesses in which multiple flights take place each day. For an airport to function and serve massive number of customers, it requires many operations and tasks that require software to do scheduling and resource management. To handle and schedule the operations and tasks well, there is a need for an efficient algorithm to solve complex problems and challenges that an airport might face. Airport operators do not necessarily need and have the technical knowledge to schedule the tasks, and hence a demo consisting of a more efficient algorithm is being developed. This report shows the enhancement of the demo application and user-friendliness of the demo.