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...
Saved in:
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Developing a drag-and-play system frontend for the automatic synthesis of optimal and correct-by-construction schedules for flexible production systems
by: Muhammad Azhari Asgar
Published: (2022) -
Automatic hyperparameter optimization for machine learning
by: Tan, Xavier Jun Sheng
Published: (2020) -
Drag and play system for flexible manufacturing system design
by: Zhang, Hensley Zhen
Published: (2021) -
Improving ThaiLabanXML standard for the automatic Thai laban drag drop system
by: Yootthapong Tongpaeng, et al.
Published: (2019) -
Machine learning based automatic diagnosis of rheumatoid arthritis
by: Tan, Elayne Hui Shan
Published: (2022)