面向制造企业的智能企业诊断系统

Intelligent enterprise diagnosis system for manufacturing enterprises

概述了企业诊断系统的研究现状,分析了其与企业信息系统研究相孤立所带来的问题.为适应现代制造企业管理的需求,提出基于数据仓库的智能企业诊断系统.智能企业诊断系统由查询与跟踪、问题识别和指标评价、模糊Petri网推理、诊断过程概要解释、问题解决支持、人机界面等6个主要模块构成.为了更好地处理企业诊断知识的模糊性、整体性和复杂性,通过扩展模糊Petri网系统实现企业诊断的知识建模和推理.功能模型描述了系统各模块的主要功能及其与数据仓库系统间的集成方式.此外,讨论了模糊Petri网诊断推理、与数据仓库系统的集成、知识提取和数据挖掘等系统实现的关键技术和方法.通过智能企业诊断系统、数据仓库系统和OLAP三者的有机集成,提供一个有效的企业诊断集成环境,使管理者能够更好地解决经营管理中存在的问题,充分发挥制造企业潜力,使企业健康发展.

The present situation of research on enterprise diagnosis system is overviewed, and issues resulting from isolation with enterprise information system are analyzed. To meet management requirement of modern manufacturing enterprises, Intelligent Enterprise Diagnosis System(IEDS)based on data warehouse is proposed to meet the management requirement of modern manufacturing enterprises. IEDS is composed of 6 modules. Aiming at dealing with fuzziness, integrity and complexity of knowledge of enterprise diagnosis, fuzzy Petri net system is extended to realize its representation and reasoning. Major functions of modules of IEDS and method integrated with data warehouse system are presented in the function model. And the key technologies and methods of IEDS realization are discussed, such as diagnosis reasoning using fuzzy Petri net, method integrated with data warehouse, knowledge discovery and data mining. Integration between IEDS, data warehouse system and OLAP results in an effective enterprise diagnosis integrated environment. Supported by IEDS, managers can find out problems in enterprises and resolve them rapidly and effectively. Therefor, manufacturing enterprises can exert their potential capacity and be developed healthily.