摘要
针对车间调度规则组合的多目标优化问题,提出了一种基于仿真的评估决策模型.通过仿真获得不同调度规则组合下的方案集合,在利用层次分析法获得性能指标权重的基础上,采用灰关联理论计算各结果方案对于单项指标的关联系数,实现了基于灰色关联度的方案评估,并导出了最优的调度规则组合.调度规则组合决策体现了用户对系统性能指标的要求,解决了传统依靠经验进行调度规则选取的问题,优化了制造系统的运行.
A combination decision model of scheduling rules based on simulation is presented for multiobjective problems of job shop scheduling. The scheme group is first obtained using simulation for different combination of scheduling rules. The weight of performance target for manufacturing system is derived with the application of analytic hierarchy process （AHP）. The conjunction coefficient of every scheme within the group for the single performance index is then computed. Scheme evaluation based on grey relational analysis is ordered and the corresponding optimizing scheduling rule is derived. Combination decision of scheduling rules based on simulation embodies the performance weight requirement of user for the manufacturing system, and provides the optimizing scheduling rule to resolve the traditional application problem.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2006年第7期598-601,629,共5页
Transactions of Beijing Institute of Technology
基金
国家部委预研项目(51458010103BQ0102)
国家部委基础科研项目(K1301020706)
关键词
调度规则
层次分析法
灰关联分析
组合决策
scheduling rules
analytic hierarchy process
grey relevancy analysis
combination decision
