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|Title: ||Knowledge based approach to flexible workflow management systems|
|Authors: ||Lee, Habin|
|Advisors: ||Park, SJ|
|Publication Date: ||1999|
|Publisher: ||Korea Advanced Institute of Science and Technology; Graduate School of Management|
|Abstract: ||Today's business environments are characterized by dynamic and uncertain environments. In order to effectively support business processes in such contexts, workflow management systems must be able to adapt themselves effectively. In this dissertation, the workflow is redefined in
concept and represented with a set of business rules. Business rules play a central role in
organizational workflows in context of cooperation among actors. To achieve business goals, they constrain the flow of works, use of resources, and responsibility mapping between tasks and actors using role concept. Business rules are explicitly modeled in the Knowledge-based Workflow Model (KWM) using frames.
To increase the adaptability of workflow management system, KWM has several distinctive
features. First, it increases expressiveness of workflow model so that exception handling rules
and responsibility mapping rules between tasks and actors as well as task scheduling rules are
explicitly modeled. Secondly, formal definition of KWM enables one to define and to analyze correctness of workflow schema. Knowledge-based approach enables more powerful analysis on workflow schema including checking consistency and compactness of routing rules as well as terminality of a workflow. Thirdly, providing change propagation mechanism which assures
correctness of workflow after the modification of workflow schema increases adaptability.
Change propagation rules for the modification primitives are provided to manage workflow
evolution. On the other hand, metarules that control rules in KWM are used to handle exceptions that occur in a running workflow instance. Workflow participants can easily change workflow schema of a workflow instance with the support of extra rules and a metarule.
Based on KWM, K-WFMS (Knowledge-based WorkFlow Management System) has been implemented in client/server architecture. Inference shell of knowledge-based systems is employed for enactment of business rules and integrated with database systems. From a real application based on the KWM architecture, it has been shown that system performance can increase notably by reducing the number of rules and facts that are used in the course of workflow enactment.|
|Description: ||This thesis was submitted for the degree of Doctor of Philosophy and awarded the Korea Advanced Institute of Science and Technology (KAIST).|
|Appears in Collections:||Business and Management|
Brunel Business School Research Papers
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