摘要
对智能RGV的动态调度策略进行设计,运用了线性规划、遗传算法及数据包络分析等方法,构建了线性规划模型、多目标FJSP问题模型、DEA效率检验等模型,综合运用了Matlab、Mathematica等软件编程求解,得到了能够解决两种情况:一道工序和两道工序的物料加工作业情况下有效的RGV动态调度模型和求解算法,最后根据三组具体数据,运用DEA模型检验出模型的有效性,并且证明出系统具有较高的作业效率。
The dynamic scheduling strategy of intelligent RGV is designed. Linear programming, genetic algorithm, data envelopment analysis and other methods were used to build the linear programming model, multi-objective FJSP problem model, DEA efficiency test model and other models. Matlab, Mathematica and other software programs were used to solve the problem. The effective RGV dynamic scheduling model and solving algorithm are obtained under the condition of material processing operations with two conditions -- one working procedure and two working procedures. Finally, according to the three groups of specific data, the DEA model was used to verify the effectiveness of the model, and the system was proved to have a high operating efficiency.
作者
周妍敏
李勇
左敏
李忆雯
ZHOU Yan-min;LI Yong;ZUO Min;LI Yi-wen(School of statistics and Applied Mathematics, Anhui Bengbu 233000, China;Institute of Finance, Anhui University Finance and Economics, Anhui Bengbu 233030, China)
出处
《齐齐哈尔大学学报（自然科学版）》
2019年第5期72-77,共6页
Journal of Qiqihar University(Natural Science Edition)
基金
国家自然科学基金(11601001)
