Anylogic-based Platform-Enterprise Collaborative Scheduling Simulation System for Cloud Manufacturing

Authors

Linxuan Wang, School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China; State Key Laboratory of Electromechanical Integrated Manufacturing of High-performance Electronic Equipments, Xidian University, Xi'an 710071, China
Yongkui Liu, School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China; State Key Laboratory of Electromechanical Integrated Manufacturing of High-performance Electronic Equipments, Xidian University, Xi'an 710071, China
Lin Zhang, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Tingyu Lin, Beijing Complex Product Advanced Manufacturing Engineering Research Center, Beijing 100854, China; State Key Laboratory of Complex Product Intelligent Manufacturing System Technology, Beijing 100854, China
Lihui Wang, Department of Production Engineering, KTH Royal Institute of Technology, Stockholm 25175, Sweden

Abstract

Abstract: Aiming at the lack of research on collaborative scheduling between a cloud manufacturing platform and associated enterprises, as well as the lack of simulation systems to simulate scheduling strategy combinations and to visualize dynamic scheduling processes, a simulation system that supports visualization of cloud manufacturing platform-enterprise collaborative dynamic scheduling processes is designed and developed. System requirements are analyzed in detail, and then a scalable platform-enterprise collaborative scheduling model and system functional architecture based on hierarchical multi-agents is proposed. Combined with a case of supply chain of industrial robots, considering random selection, time optimal strategy in the cloud manufacturing platform layer and the combination of FIFO (first in first out), SPT (shortest processing time), EDD (earliest due date) in the enterprise layer, a simulation model of platform-enterprise collaborative scheduling is constructed. The system is implemented based on Anylogic, and simulation experiments are conducted through the combination of multiple strategies and use cases. Simulation experiments indicate that the system has functions of manufacturing scenario scalability and dynamic visualization, and is able to simulate, test and optimize performance of scheduling policy combinations at the platform layer and the enterprise layer, respectively, so as to provide a simulation environment and verification platform for cloud manufacturing platform-enterprise collaborative scheduling strategies.

Recommended Citation

Wang, Linxuan; Liu, Yongkui; Zhang, Lin; Lin, Tingyu; and Wang, Lihui (2025) "Anylogic-based Platform-Enterprise Collaborative Scheduling Simulation System for Cloud Manufacturing," Journal of System Simulation: Vol. 37: Iss. 9, Article 5.
DOI: 10.16182/j.issn1004731x.joss.24-0393
Available at: https://dc-china-simulation.researchcommons.org/journal/vol37/iss9/5

First Page

2225

Last Page

2241

CLC

TP391.9

Recommended Citation

Wang Linxuan, Liu Yongkui, Zhang Lin, et al. Anylogic-based Platform-Enterprise Collaborative Scheduling Simulation System for Cloud Manufacturing[J]. Journal of System Simulation, 2025, 37(9): 2225-2241.

Corresponding Author

Liu Yongkui

DOI

10.16182/j.issn1004731x.joss.24-0393