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Knowledge-based process management―an approach to handling adaptive workflow

机译:基于知识的流程管理-一种处理自适应工作流的方法

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In recent years, many organisations have found enterprise modelling, especially business process modelling, to be an effective tool for managing organisational change. The application of business processing modelling has brought benefits to many organisations, but the models developed tend to be used for reference during business operations and re-engineering activities; they rarely play an active role in supporting the day-to-day execution of the processes. While workflow management systems are widely used for the streamlined management of 'administrative' business processes, current systems are unable to cope with the more dynamic situations encountered in ad hoc and collaborative processes. A system that supports complex and dynamically changing processes is required. There is increasing interest in making workflow systems more adaptive and using knowledge-based techniques to provide more flexible process management support than is possible using current workflow systems. This paper describes the results of a collaborative project between Loughborough University and the University of Edinburgh. ICI and Unilever were industrial partners on the project, providing real business requirements in the application domain. The project investigated the use of ontologies, agents and knowledge based planning techniques to provide support for adaptive workflow or flexible workflow management, especially in the area of new product development within the chemical industries.
机译:近年来,许多组织发现企业建模,尤其是业务流程建模,是管理组织变更的有效工具。业务处理建模的应用为许多组织带来了好处,但是开发的模型倾向于在业务运营和重新设计活动中用作参考;他们很少在支持流程的日常执行中发挥积极作用。尽管工作流管理系统广泛用于简化“行政”业务流程的管理,但是当前的系统无法应对临时和协作流程中遇到的更多动态情况。需要一个支持复杂且动态变化的过程的系统。与当前的工作流程系统相比,使工作流程系统更具适应性并使用基于知识的技术来提供更灵活的过程管理支持的兴趣日益浓厚。本文描述了拉夫堡大学和爱丁堡大学之间的合作项目的结果。 ICI和联合利华是该项目的工业合作伙伴,在应用程序领域提供了真正的业务需求。该项目调查了本体,代理和基于知识的计划技术的使用,以为自适应工作流或灵活的工作流管理提供支持,尤其是在化学工业中的新产品开发领域。

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