具有机器学习能力的智能车间调度系统  

INTELLIGENT WORKSHOP SCHEDULING WITH MACHINE LEARNING

作　　者：熊光楞[1] 龚宁[1] 

机构地区：[1]清华大学自动化系

出　　处：《计算机集成制造系统-CIMS》1996年第2期34-40,共7页

摘　　要：本文从制造领域发展趋势的角度出发，阐述优化设计车间调度系统的必要性。The Intelligent Workshop Scheduling is very popular in last several years. One of its application is an expert system that is responsible for the rules selection in a production rule-based scheduling system. However, the rules selection in existing systems always happens before the simulation starts (called Static Scheduling). It means that, once the simulation starts, scheduling system can not select the prority rules again according to the current workshop status, The knowledge's shortage of such an expert system is another big issue. This paper will show the structure of a Intelligent Workshop Scheduling System,which the rule selection happens in the process of simulation(called Dynamic Scheduling),and which has a machine learning module.

关 键 词：机器学习能力 车间调度 仿真系统 专家系统 制造系统 

分 类 号：TH186[机械工程—机械制造及自动化]