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Development of a case‐based decision support system for process modeling in BPR

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  • Sang‐Ii Kim
  • Jae Kyeong Kim
  • Soung Hie Kim

Abstract

This paper presents a knowledge‐based methodology for business process reengineering that uses a case‐based reasoning paradigm to provide decision support to its users in the modeling of a current problem and a redesign of critical business processes. As a process modeling tool for representing the business process, the event process chain (EPC) modeling method is used in this paper. We developed a CAPMOSS (CAse‐based Process MOdeling Supporting System) to support our proposed methodology. To reengineer a new business process problem, CAPMOSS retrieves from its case base the case that is most similar to the current problem. CAPMOSS uses a retrieved case to guide the structuring of AS‐IS models and TO‐BE models of a target business process. Using the transformational knowledge of a retrieved case, CAPMOSS helps the user to transform an AS‐IS model into a TO‐BE model for the target process with ease and the purchasing process in a government R&D institute is explained as an application of this approach. Copyright © 2000 John Wiley & Sons, Ltd.

Suggested Citation

  • Sang‐Ii Kim & Jae Kyeong Kim & Soung Hie Kim, 2000. "Development of a case‐based decision support system for process modeling in BPR," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 9(2), pages 93-105, June.
    • Handle: RePEc:wly:isacfm:v:9:y:2000:i:2:p:93-105
    DOI: 10.1002/1099-1174(200006)9:23.0.CO;2-H
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    1. Steve Ku & Yung‐Ho Suh & Gheorghe Tecuci, 1996. "Building An Intelligent Business Process Reengineering System: A Case‐Based Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 5(1), pages 25-39, March.
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