Resource management algorithm development for resilient manufacturing systems with resource sharing
Resource management algorithms attempt to tackle on-demand manufacturing challenge of the production system and play a significant part in increasing the resilience of it. However, each manufacturing system process comprises of several tasks with various resources and connections. Most algorithms wi...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/164823 |
| _version_ | 1811680643751346176 |
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| author | Wang, Xuanjing |
| author2 | Su Rong |
| author_facet | Su Rong Wang, Xuanjing |
| author_sort | Wang, Xuanjing |
| collection | NTU |
| description | Resource management algorithms attempt to tackle on-demand manufacturing challenge of the production system and play a significant part in increasing the resilience of it. However, each manufacturing system process comprises of several tasks with various resources and connections. Most algorithms will dramatically increase the computational complexity when the system changes dynamically or a resource fails throughout the process, therefore making it hard to apply to real industry. This study, on the other hand, introduces a heuristic-based method for scheduling energy consumption in a resource-sharing way, providing an effective fault-tolerant resource management technique for industrial systems. |
| first_indexed | 2024-10-01T03:28:19Z |
| format | Thesis-Master by Coursework |
| id | ntu-10356/164823 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:28:19Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1648232023-02-20T02:59:52Z Resource management algorithm development for resilient manufacturing systems with resource sharing Wang, Xuanjing Su Rong School of Electrical and Electronic Engineering RSu@ntu.edu.sg Engineering::Electrical and electronic engineering Resource management algorithms attempt to tackle on-demand manufacturing challenge of the production system and play a significant part in increasing the resilience of it. However, each manufacturing system process comprises of several tasks with various resources and connections. Most algorithms will dramatically increase the computational complexity when the system changes dynamically or a resource fails throughout the process, therefore making it hard to apply to real industry. This study, on the other hand, introduces a heuristic-based method for scheduling energy consumption in a resource-sharing way, providing an effective fault-tolerant resource management technique for industrial systems. Master of Science (Computer Control and Automation) 2023-02-20T02:59:52Z 2023-02-20T02:59:52Z 2022 Thesis-Master by Coursework Wang, X. (2022). Resource management algorithm development for resilient manufacturing systems with resource sharing. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/164823 https://hdl.handle.net/10356/164823 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Wang, Xuanjing Resource management algorithm development for resilient manufacturing systems with resource sharing |
| title | Resource management algorithm development for resilient manufacturing systems with resource sharing |
| title_full | Resource management algorithm development for resilient manufacturing systems with resource sharing |
| title_fullStr | Resource management algorithm development for resilient manufacturing systems with resource sharing |
| title_full_unstemmed | Resource management algorithm development for resilient manufacturing systems with resource sharing |
| title_short | Resource management algorithm development for resilient manufacturing systems with resource sharing |
| title_sort | resource management algorithm development for resilient manufacturing systems with resource sharing |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/164823 |
| work_keys_str_mv | AT wangxuanjing resourcemanagementalgorithmdevelopmentforresilientmanufacturingsystemswithresourcesharing |