Edge-cloud collaborative intelligent production scheduling based on digital twin

doi:10.19682/j.cnki.1005-8885.2021.0022

The Journal of China Universities of Posts and Telecommunications ›› 2022, Vol. 29 ›› Issue (2): 108-120.doi: 10.19682/j.cnki.1005-8885.2021.0022

Received:2021-01-25 Revised:2021-03-28 Online:2022-04-26 Published:2022-04-26
Contact: Fangmin XU E-mail:xufm@bupt.edu.cn
Supported by:
This work was supported by the 2020 Industrial Internet Innovation Development Project of Ministry of Industry and Information Technology of P. R. China, and the State Grid Liaoning Electric Power Supply Co. , Ltd. , Comprehensive Security Defense Platform Project for Industrial/ Enterprise Networks.

Abstract

Abstract:

With the application of various information technologies in smart manufacturing, new intelligent production mode puts forward higher demands for real-time and robustness of production scheduling. For the production scheduling problem in large-scale manufacturing environment, digital twin (DT) places high demand on data processing capability of the terminals. It requires both global prediction and rea-time response abilities. In order to solve the above problem, a DT-based edge-cloud collaborative intelligent production scheduling (DTECCS) system was proposed, and the scheduling model and method were introduced. DT-based edge-cloud collaboration (ECC) can predict the production capacity of each workshop, reassemble customer orders, optimize the allocation of global manufacturing resources in the cloud, and carry out distributed scheduling on the edge-side to improve scheduling and tasks processing efficiency. In the production process, the DTECCS system adjusts scheduling strategies in real-time, responding to changes in production conditions and order fluctuations. Finally, simulation results show the effectiveness of DTECCS system.

Key words: edge-cloud collaboration (ECC), digital twin (DT), intelligent production scheduling, real-time updated scheduling strategy

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