本文的目的是研究一种实时智能车间控制框架，用于考虑自动化生产系统的随机性的柔性制造系统（FMS）的在线调度和控制。该智能小区控制体系结构由动态数据库（DDB）、输入分析仪/预处理器（IA/P）、神经网络推理机（NNIE）、离线仿真和神经网络训练模块（SNNTM）以及数据通信模块组成。这样的车间控制方案提供了一个集成环境，具有创新的单元控制概念，不仅可以采取可行的控制措施，而且随着单元运行时间的推移，还可以执行不断改进的控制决策。

The aim of this paper is to report research into a real-time intelligent shop floor control framework for on-line scheduling and control of flexible manufacturing systems (FMSs) considering the stochastic nature of an automated production system. The proposed intelligent cell control architecture consists of a Dynamic Data Base (DDB), Input Analyzer/Preprocessor (IA/P), Neural Network Inference Engine (NNIE), and off-line Simulation and Neural Network Training Module (SNNTM), and Data Communication Modules. Such a shop floor control scheme provides an integrated environment with innovative cell control concepts enabling not only feasible control actions to be taken but also continuously improved control decisions be implemented as the cell operation time goes by.