Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156438
Title: Intelligent planning and scheduling system
Authors: Toh, Austen Jing Hao
Keywords: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Toh, A. J. H. (2022). Intelligent planning and scheduling system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156438
Abstract: 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.
URI: https://hdl.handle.net/10356/156438
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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