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An integration architecture for Knowledge management systems and business process management systems. 指導教授 : 歐陽超 教授 學 生 : 林冠伯 施宏奇 吳秀莉 王邦怡. Contents. Introduction Related work
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An integration architecture for Knowledge management systems andbusiness process management systems 指導教授 : 歐陽超 教授 學 生 : 林冠伯 施宏奇 吳秀莉 王邦怡
Contents • Introduction • Related work • Business process management lifecycle & knowledge management lifecycle • Definition of process knowledge • Process-oriented knowledge management • Integrated framework for process and knowledge management • Integrated system architecture • Prototype system • conclusion
1.Introduction(1) • This paper proposes an architecture to integrate knowledge management systems (KMSs) and business process management systems (BPMSs) to combine the advantages of the two paradigms.
1.Introduction(2) • Knowledge is used by performers of business processes and new knowledge is created as results of business processes. • Business processes are an excellent delivery medium of knowledge as well as an arena for the creation of knowledge. • Information about a process itself and process execution results is valuable corporate knowledge.
1.Introduction(3) The paper classifies process knowledge into three types: • process template knowledge • process instance knowledge • process-related knowledge
Related work(1) • The goal of IPM is to integrate processes and to provide lifecycle support for process modeling and integration, process analysis and optimization, process automation and control, process-oriented integration, and process knowledge management. • The concept of BPMS proposed by BPMI. It is to integrate systems, automate routine activities, manage all phases of processes, deploy process seamlessly, and provide end-to-end visibility and control.
2.Related work(2) • Various studies were carried out in order to integrate KM and BPM: • The Delphi group • Remus • KnowMoreproject • MILOS project • MOKA project • EDEN tool
Related work(3) • The advantage of process-oriented knowledge management is that it can help users avoid information overload and concentrate on important information which is essential for company value chains. It can also improve the usability of knowledge in company and the efficiency of implementing knowledge management system.
Business process management lifecycle & knowledge management lifecycle(1) • The BPM lifecycle of IPM consists of six phases: creation, modeling, pre analysis, enactment, post analysis, and evolution. • In the pre analysis phase, the process template can be optimized by applying various process analysis techniques including structural analysis techniques such as PERT/CPMand simulation techniques such as Petri-net. • Nissen’s KM lifecycle [27] consists of sixphases: create, formalize, organize, distribute, use,andevolve.
Business process management lifecycle & knowledge management lifecycle(2)
4. Definition of process knowledge(1) • The three types of process knowledge: • Process template knowledge • The process template plus analysis and simulation information derived from the template design phase. • Process instance knowledge • A set of process instance information along with process performance measure according to evaluation criteria of a given enterprise. • Process-related knowledge • Aknowledge set created and used within a business process.
4.1 Process template knowledge • process template knowledge contains process structure, pre analysis results, simulation results, and a template evolution history. • From the BPM lifecycle perspective, the information gathered during process creation, modeling, pre analysis, and evolution is converted into process template knowledge.
4.2 Process instance knowledge • Process instance knowledge is composed of information gathered during and after the process enactment phase. The information produced during the process enactment phase such as context information, outputs, and a way to work is converted into process instance knowledge. • Process template knowledge is created by process designers and/or analysts, and process related knowledge is created by activity performers.
4.3 Process-related knowledge • Process-related knowledge means the type of knowledge which can be used by activity performers when a business process is actually executed. • Process-related knowledge includes books, documents, experts, help files, manuals, applications, laws and regulations, etc. The concept of process-related knowledge will also enable enterprises to filter valuable knowledge and to avoid information overload.
6. Integrated framework for process and knowledge management(1)
6. Integrated framework for process and knowledge management(2)
6. Integrated framework for process and knowledge management(3)
7.3 Post analysis and evolution(5) • These tools support evolution of existing knowledge base on • Updated process execution result • Newly added information • Several AI techniques are applied: • Outlier detection discover exceptions • Process mining techniques evaluate performance and process model
8. Prototype System(1) • In the prototype , three components are added into Process W are. • Tacit knowledge description tool • Knowledge delivery tool • Process knowledge tracking tool
8. Prototype System(2) • The development environment of the prototype is as follows: • Programming language : J DK1.4,J avaServlet • Process definition language : IPM-EPDL • Server environment : Tomcat 3.2, Apache 1.3.2 • Client environment : Internet explorer
9. Conclusion(1) • This paper proposed an architecture for integrating KMSs and BPMSs , based on a comprehensive framework , to combine the advantages of the two paradigms. • Process-oriented knowledge management systems are expected to provide the following advantages: • Process designers design or redesign processes, they can use existing process templates and execution results stored in a process repository.
9. Conclusion(2) • Process performers can be provided with the right knowledge at the right time(active delivery of knowledge is possible). • Performers can specify their know-how used when process instances are executed . Then it will be analyzed and evolved as process related knowledge.