Journal of System Simulation
Abstract
Abstract: To reduce the energy consumption in the manufacturing process by optimizing job-shop scheduling, the process of the machines' energy consumption was divided into different stages. The energy consumption of each stage was analyzed and modeled. The job-shop scheduling problem model for manufacturing energy consumption was developed. On the basis of the developed problem model, minimizing manufacturing energy consumption was used as the optimization goal and a simulated annealing algorithm was adopted to optimize the job-shop scheduling. A job scheduling scheme was generated randomly according to the coding rule. The job scheduling scheme generated randomly was used as the initial solution, a simulated annealing algorithm was adopted to achieve the optimization of manufacturing energy consumption and the optimal job-shop scheduling scheme was obtained. The feasibility and effectiveness of the proposed method was verified by simulation experiments.
Recommended Citation
Li, Xiaoxia; Huang, Xiaomao; Liu, Jianxiao; and Feng, Liu
(2020)
"Optimization Simulation for Job-shop scheduling for Reducing Manufacturing Energy Consumption,"
Journal of System Simulation: Vol. 28:
Iss.
1, Article 16.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol28/iss1/16
First Page
114
Revised Date
2014-12-14
DOI Link
https://doi.org/
Last Page
120
CLC
TP391.9
Recommended Citation
Li Xiaoxia, Huang Xiaomao, Liu Jianxiao, Liu Feng. Optimization Simulation for Job-shop scheduling for Reducing Manufacturing Energy Consumption[J]. Journal of System Simulation, 2016, 28(1): 114-120.
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