面向知识管理的过程企业知识模型体系研究  被引量:7

Research on knowledge modeling system oriented to knowledge management for process enterprises

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作  者:吉旭[1] 朱立嘉[1] 赵丰[1] 唐建华[1] 

机构地区:[1]四川大学化工学院,四川成都610065

出  处:《计算机集成制造系统》2006年第3期382-388,406,共8页Computer Integrated Manufacturing Systems

基  金:国家自然科学基金资助项目(20306017)~~

摘  要:过程企业由于其特定的技术经济形态,由单元生产过程和市场需求协同作用,驱动决策流成为其知识管理显著的特点和难点。分析了过程企业由动态过程模拟模型、过程控制模型、技术经济评价及经营决策模型构成的三级过程性知识模型体系,提出静态性知识、策略性知识和推理性知识的知识分类方法,解决了过程企业实施现代集成过程系统必须的基于市场需求和生产过程的决策模型。研究并提出了基于类的面向对象的知识模型表达模式,形成由模型类、模型框架和模型实例构成的模型层次,讨论了以过程模拟和数据挖掘作为重要技术支撑的知识学习方法,并针对行业的过程性特点,提出了面向业务与决策过程的知识发布模式。Due to its unique technical & economic characteristics of process enterprises-collaboration between product units and market demand, it is difficult to implement knowledge management in process enterprises. To resolve this problem, a three-level process knowledge modeling system for process enterprises composed of dynamic process simulation model, process control model, technical ~ economic evaluation and management decision-making model was analyzed. Then knowledge classification method was proposed which including static knowledge, strategic knowledge and reasoning knowledge. The decision-making model based on market demand and production process was implemented in process enterprises. The model was prerequisite to modern integration process system. ,Then the object-oriented knowledge model representation based on classes was studied, which was composed of model class, model framework and model instance. Knowledge acquisition method and knowledge release mode, which was characterized by process simulation and data mining, were also discussed considering of its industrial characteristics. Several examples were given to illustrate application of the techniques.

关 键 词:知识管理 知识模型 数据挖掘 过程企业 

分 类 号:TP391[自动化与计算机技术—计算机应用技术] TP311[自动化与计算机技术—计算机科学与技术]

 

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