Journal of System Simulation
Abstract
Abstract: Aiming at the parallel multi-processor open shop scheduling problem with uncertain job's release time,processing time and urgent jobs, an adaptive dynamic method integrating FlexSim simulation model and NSGA-Ⅱ algorithm is designed to optimize the bi-objectives of TWC(total weighted completion time) and TWT(total weighted tardiness). By using the FlexSim simulation model, this method determines the adaptive scheduling cycle according to the dynamic workload of the open shop, and conducts right-shift rescheduling to the urgent jobs. NSGA-Ⅱ algorithm is used to generate the bi-objective optimization scheduling scheme. Experimental results of a grain sorting shop show that compared with the rule-based real-time dynamic scheduling and periodic rescheduling, the proposed method can obtain a satisfactory solution while minimizing the deviation degree between the dynamic scheduling and the original scheduling.
Recommended Citation
Chen, Yarong; Guan, Shuchen; Huang, Chengjun; Zhu, Lixia; and Chou, FuhDer
(2023)
"Simulation-Based Adaptive Dynamic Scheduling for Bi-objective Parallel Multi-processor Open Shop,"
Journal of System Simulation: Vol. 35:
Iss.
1, Article 6.
DOI: 10.16182/j.issn1004731x.joss.21-0697
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol35/iss1/6
First Page
69
Revised Date
2021-09-24
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-0697
Last Page
81
CLC
TP391.9
Recommended Citation
Yarong Chen, Shuchen Guan, Chengjun Huang, Lixia Zhu, Chou FuhDer. Simulation-Based Adaptive Dynamic Scheduling for Bi-objective Parallel Multi-processor Open Shop[J]. Journal of System Simulation, 2023, 35(1): 69-81.
DOI
10.16182/j.issn1004731x.joss.21-0697
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