A cyber-physical robotic mobile fulfillment system in smart manufacturing: the simulation aspect
Incorporating mobile robots into the production shop-floor helps realize the concept of smart production, and it is considered one of the approaches to enhance manufacturing and operational efficiency and effectiveness by academics and industrial practitioners. This paper develops a cyber-physical r...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/172584 |
| _version_ | 1824455200437436416 |
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| author | Keung, Kin Lok Lee, Carman Ka Man Xia, Liqiao Liu, Chao Liu, Bufan Ji, Ping |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Keung, Kin Lok Lee, Carman Ka Man Xia, Liqiao Liu, Chao Liu, Bufan Ji, Ping |
| author_sort | Keung, Kin Lok |
| collection | NTU |
| description | Incorporating mobile robots into the production shop-floor helps realize the concept of smart production, and it is considered one of the approaches to enhance manufacturing and operational efficiency and effectiveness by academics and industrial practitioners. This paper develops a cyber-physical robotic mobile fulfillment system (CPRMFS) for tool storage in smart manufacturing. The purpose is to enable Just-in-Time material transfer on the production shop-floor during manufacturing. A decentralized multi-robot path planning adopts graph neural networks (GNN) in the new proposed CPRMFS. We compare multiple classification algorithms for the mobile robots' action prediction, including proposing a spatial-temporal graph convolutional network (ST-GNN) under these circumstances. We also extend the research with the enhanced conflict-based search path planning algorithm. Compared with the existing literature, ST-GNN, under the enhanced conflict-based search, could obtain higher accuracy with an average value of 90% under different scenarios. The practical applicability of the proposed system with the further consideration of ST-GNN is further explained as a reference for manufacturing practitioners who looked out on a confrontation of introducing the mobile robot solutions in their manufacturing site with the goal of enhancing the operation processes. |
| first_indexed | 2025-02-19T03:34:26Z |
| format | Journal Article |
| id | ntu-10356/172584 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:34:26Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1725842023-12-13T07:36:37Z A cyber-physical robotic mobile fulfillment system in smart manufacturing: the simulation aspect Keung, Kin Lok Lee, Carman Ka Man Xia, Liqiao Liu, Chao Liu, Bufan Ji, Ping School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Robotic Mobile Fulfillment System Smart Manufacturing Incorporating mobile robots into the production shop-floor helps realize the concept of smart production, and it is considered one of the approaches to enhance manufacturing and operational efficiency and effectiveness by academics and industrial practitioners. This paper develops a cyber-physical robotic mobile fulfillment system (CPRMFS) for tool storage in smart manufacturing. The purpose is to enable Just-in-Time material transfer on the production shop-floor during manufacturing. A decentralized multi-robot path planning adopts graph neural networks (GNN) in the new proposed CPRMFS. We compare multiple classification algorithms for the mobile robots' action prediction, including proposing a spatial-temporal graph convolutional network (ST-GNN) under these circumstances. We also extend the research with the enhanced conflict-based search path planning algorithm. Compared with the existing literature, ST-GNN, under the enhanced conflict-based search, could obtain higher accuracy with an average value of 90% under different scenarios. The practical applicability of the proposed system with the further consideration of ST-GNN is further explained as a reference for manufacturing practitioners who looked out on a confrontation of introducing the mobile robot solutions in their manufacturing site with the goal of enhancing the operation processes. Nanyang Technological University This work was supported by the Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong (RK2F), Nanyang Technological University, Singapore, and Aston University, United Kingdom. Our gratitude is also extended to the Research Committee and the Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong and The Innovation and Technology Commission, and The Government of the Hong Kong SAR, Hong Kong, for their support of this project (PRP/002/19FX/K. ZM31), the Laboratory for Artificial Intelligence in Design, Hong Kong SAR, Hong Kong (Project Code: RP2-2). 2023-12-13T07:36:37Z 2023-12-13T07:36:37Z 2023 Journal Article Keung, K. L., Lee, C. K. M., Xia, L., Liu, C., Liu, B. & Ji, P. (2023). A cyber-physical robotic mobile fulfillment system in smart manufacturing: the simulation aspect. Robotics and Computer-Integrated Manufacturing, 83, 102578-. https://dx.doi.org/10.1016/j.rcim.2023.102578 0736-5845 https://hdl.handle.net/10356/172584 10.1016/j.rcim.2023.102578 2-s2.0-85153249173 83 102578 en Robotics and Computer-Integrated Manufacturing © 2023 Elsevier Ltd. All rights reserved. |
| spellingShingle | Engineering::Mechanical engineering Robotic Mobile Fulfillment System Smart Manufacturing Keung, Kin Lok Lee, Carman Ka Man Xia, Liqiao Liu, Chao Liu, Bufan Ji, Ping A cyber-physical robotic mobile fulfillment system in smart manufacturing: the simulation aspect |
| title | A cyber-physical robotic mobile fulfillment system in smart manufacturing: the simulation aspect |
| title_full | A cyber-physical robotic mobile fulfillment system in smart manufacturing: the simulation aspect |
| title_fullStr | A cyber-physical robotic mobile fulfillment system in smart manufacturing: the simulation aspect |
| title_full_unstemmed | A cyber-physical robotic mobile fulfillment system in smart manufacturing: the simulation aspect |
| title_short | A cyber-physical robotic mobile fulfillment system in smart manufacturing: the simulation aspect |
| title_sort | cyber physical robotic mobile fulfillment system in smart manufacturing the simulation aspect |
| topic | Engineering::Mechanical engineering Robotic Mobile Fulfillment System Smart Manufacturing |
| url | https://hdl.handle.net/10356/172584 |
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