| Management and utilization of knowledge for the automatic improvement of workflow performance |
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Conference on Supporting Group Work
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Proceedings of conference on Organizational computing systems
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Milpitas, California, United States
Pages: 32 - 43
Year of Publication: 1995
ISBN:0-89791-706-5
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Authors
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Trent Jaeger
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Software Systems Research Laboratory, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI
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Atul Prakash
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Software Systems Research Laboratory, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI
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Downloads (6 Weeks): 2, Downloads (12 Months): 12, Citation Count: 1
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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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CITED BY
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Hiroyuki Tarumi , Koji Kida , Yoshihide Ishiguro , Kenji Yoshifu , Takayoshi Asakura, WorkWeb system—multi-workflow management with a multi-agent system, Proceedings of the international ACM SIGGROUP conference on Supporting group work: the integration challenge, p.299-308, November 16-19, 1997, Phoenix, Arizona, United States
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