Journal of System Simulation
Abstract
Abstract: Distributed job-shop production scheduling is the key to high efficient production. Preventive maintenance, an essential means to ensure the safety and reliability of equipment, should be the necessary content of the production decision-making. Aiming at the production delay caused by equipment maintenance, a simulation-corrected optimization method is proposed. The mathematical model and simulation model for the joint production and preventive maintenance scheduling are established. The sequence exchange-based genetic algorithm is combined with the simulation-corrected optimization method to form a fast simulation optimization scheme. Experimental results on typical cases show that the proposed simulation optimization method can improve the solution quality and robustness for the production process with uncertainty.
Recommended Citation
Ye, Fei; Li, Ziqing; and Laili, Yuanjun
(2022)
"Simulation Optimization on Joint Production and Preventive Maintenance Scheduling for Distributed Job-shop,"
Journal of System Simulation: Vol. 34:
Iss.
4, Article 4.
DOI: 10.16182/j.issn1004731x.joss.21-1288
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss4/4
First Page
688
Revised Date
2022-03-10
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-1288
Last Page
699
CLC
TP391.9
Recommended Citation
Fei Ye, Ziqing Li, Yuanjun Laili. Simulation Optimization on Joint Production and Preventive Maintenance Scheduling for Distributed Job-shop[J]. Journal of System Simulation, 2022, 34(4): 688-699.
DOI
10.16182/j.issn1004731x.joss.21-1288
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