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Management and utilization of knowledge for the automatic improvement of workflow performance
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Source Conference on Supporting Group Work archive
Proceedings of conference on Organizational computing systems table of contents
Milpitas, California, United States
Pages: 32 - 43  
Year of Publication: 1995
ISBN:0-89791-706-5
Authors
Trent Jaeger  Software Systems Research Laboratory, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI
Atul Prakash  Software Systems Research Laboratory, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI
Sponsors
IFIP WG 8.4 : IFIP WG 8.4
SIGGROUP: ACM Special Interest Group on Supporting Group Work
IEEE-CS\TCOS : TC on Operating Systems & Application Environments
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present a framework that enables reengineers to build a base of performance improvement knowledge that can be used to automatically improve workflow performance. Automatic improvement of workflow performance involves modification of a business information system such that the predicted performance of its business workflows satisfies a performance goal. The number of possible modification options is very large, so a significant body of knowledge is needed to choose among them. We demonstrate, using a simple example, the requirements for the types of knowledge necessary in a automatic improvement framework. We define a knowledge model for representing these types of knowledge. We use the model to provide the framework with a body of domain-independent performance improvement knowledge. We then describe how the framework enables reengineers to provide additional performance improvement knowledge to the model and how the framework utilizes that knowledge to automatically improve workflow performance to meet the performance goal.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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It. J. Harrington. Business Process Improvement: The Breakthrough Strategy for Total Quality, Productivity, and Comptetiveness. McGraw-Hill, 1991.
 
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T. Jaeger, A. Prakash, and M. Ishikawa. A Framework for the Automatic Improvement of Workfiows to Meet Performance Goals. In Proceedings of the 6th Conference on Tools with Artificial Intelligence, pages 640-646, 1994.
 
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Collaborative Colleagues:
Trent Jaeger: colleagues
Atul Prakash: colleagues