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Cited 10 time in webofscience Cited 16 time in scopus
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A rule-based approach to proactive exception handling in business processes SCIE SCOPUS

Title
A rule-based approach to proactive exception handling in business processes
Authors
Kim, KChoi, IPark, C
Date Issued
2011-01
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Abstract
Effectively handling exceptions in business process is an important capability of enterprises in the current global market environment, since their business processes are becoming more complex. Effective exception handling requires systematic support for the entire scope of exception handling: from exception prediction to exception prevention, and from exception detection to exception resolution. Most existing research approaches to exception handling in business process management and workflow areas have focused on reactive exception handling which resolves exceptions only after their occurrences. Therefore, a proactive exception handling approach is required to predict and prevent business process exceptions as early as possible before they occur, and detect and resolve exceptions as soon as possible after they occur. This paper presents comprehensive behavioral, functional, and informational requirements for proactive exception handling from the lifecycle perspective. Then, it proposes a rule language for proactive exception handling based on the requirements. The proposed rule language will enable effective and flexible exception handling by providing the information required for the entire scope of exception handling, especially, for exception prediction and prevention. Finally, the paper illustrates and validates the rule language with an example of exception prevention and a prototype system. (c) 2010 Published by Elsevier Ltd.
Keywords
Proactive exception handling; Exception handling rule; Exception expectation; Exception monitoring; Exception prevention; Exception resolution; WORKFLOW MANAGEMENT-SYSTEMS; DESIGNING EXCEPTIONS; ENVIRONMENT
URI
https://oasis.postech.ac.kr/handle/2014.oak/25343
DOI
10.1016/J.ESWA.2010.06.078
ISSN
0957-4174
Article Type
Article
Citation
EXPERT SYSTEMS WITH APPLICATIONS, vol. 38, no. 1, page. 394 - 409, 2011-01
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최인준CHOI, IN JUN
Dept of Industrial & Management Enginrg
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