Bi-level dynamic scheduling architecture based on service unit digital twin agents |
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| Affiliation: | 1. Institute of Advanced Design and Manufacturing, Southwest Jiaotong University, Chengdu, 610031, People’s Republic of China;2. School of Design, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK;1. Key Laboratory of Industrial Engineering and Intelligent Manufacturing, School of Mechanical Engineering, Northwestern Polytechnical University, Xi''an, Shaanxi, China;2. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore;3. Delta-NTU Corporate Laboratory for Cyber-Physical System, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore;1. Macau Institute of Systems Engineering, Macau University of Science and Technology, Macau, China;2. Institute of Physical Internet, Jinan University (Zhuhai Campus), Zhuhai 519070, China;3. School of Intelligent Systems Science and Engineering, Jinan University (Zhuhai Campus), Zhuhai 519070, China;4. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, China;5. Institute of the Belt and Road & Guangdong-Hong Kong-Macao Greater Bay Area, Jinan University, Guangzhou 510632, China;1. Mechanical and Industrial Engineering Department, Ryerson University, Toronto, ON, Canada;2. Ted Rogers School of Management, Ryerson University, Toronto, ON, Canada;1. School of Mechanical Engineering, Xi''an Jiaotong University, Xi''an, 710049, China;2. State Key Laboratory for Manufacturing Systems Engineering, Xi''an Jiaotong University, Xi''an, 710054, China;3. Department of Manufacturing Automation, School of Construction Machinery, Chang''an University, Xi''an, 710064, China |
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| Abstract: | Pure reactive scheduling is one of the core technologies to solve the complex dynamic disturbance factors in real-time. The emergence of CPS, digital twin, cloud computing, big data and other new technologies based on the industrial Internet enables information acquisition and pure reactive scheduling more practical to some extent. However, how to build a new architecture to solve the problems which traditional dynamic scheduling methods cannot solve becomes a new research challenge. Therefore, this paper designs a new bi-level distributed dynamic workshop scheduling architecture, which is based on the workshop digital twin scheduling agent and multiple service unit digital twin scheduling agents.Within this architecture, scheduling a physical workshop is decomposed to the whole workshop scheduling in the first level and its service unit scheduling in the second level. On the first level, the whole workshop scheduling is executed by its virtual workshop coordination (scheduling) agent embedded with the workshop digital twin consisting of multi-service unit digital twins. On the second level, each service unit scheduling coordinated by the first level scheduling is executed in a distributed way by the corresponding service unit scheduling agent associated with its service unit digital twin. The benefits of the new architecture include (1) if a dynamic scheduling only requires a single service unit scheduling, it will then be performed in the corresponding service unit scheduling without involving other service units, which will make the scheduling locally, simply and robustly. (2) when a dynamic scheduling requires changes in multiple service units in a coordinated way, the first level scheduling will be executed and then coordinate the second level service unit scheduling accordingly. This divide-and-then-conquer strategy will make the scheduling easier and practical.The proposed architecture has been tested to illustrate its feasibility and practicality. |
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| Keywords: | Bi-level dynamic scheduling architecture Service unit Digital twin agent Pure reactive scheduling Divide-and-then-conquer strategy |
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