Knowledge-based Process Modleing in Bpr: a Case-based Reasoning Approach

نویسندگان

  • Sang-Il Kim
  • Jae Kyeong Kim
  • Soung Hie Kim
چکیده

This paper presents a knowledge-based methodology for process modeling and its improvement that uses a casebased methodology to assist its users in the modeling and redesign of critical business processes. We developed a CAPS (CAse-based Process modeling Supporting system) to support our proposed methodology. To reengineer a new business process problem, CAPS uses a hierarchical indexing method for efficient case retrieval, and provides similarity measures for accurate case matching. Using the transformational knowledge of a retrieved case, CAPS helps BPR team to build an AS-IS model and alternative TO-BE models for the current process with ease. An ordertaking (import) process in a trading firm is explained as an illustrative case study.

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تاریخ انتشار 2000