Developing a machine learning-based drag-and-play system for the automatic synthesis of optimal and correct-by-construction schedules

Due to the rise of Industry 4.0, flexible manufacturing systems and automation solutions with machine learning solvers have been widely adopted by manufacturers to provide flexibility in the assembly line. With the operation of Automated Guided Vehicles (AGV) based on the Discrete Event System...

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Bibliographic Details
Main Author: Teo, Jia Ling
Other Authors: Su Rong
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/158566
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Institution: Nanyang Technological University
Language: English
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