Title :
A framework for automatic improvement of workflows to meet performance goals
Author :
Jaeger, Trent ; Prakash, Atul ; Ishikawa, Masayuki
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
Business performance improvement is arguably the most important factor in the development or reengineering of a business information system. We present a framework that, given a model of a business information system and a performance goal, helps determine the modifications required in the model in order to meet the performance goal. The framework includes: an executable system model based on workflows, triggers, and execution resources; an execution environment that measures system performance; improvement operators that can modify the system model; and an automatic improvement mechanism that uses AI search techniques to guide the modification of the system model to meet a performance goal
Keywords :
business data processing; search problems; software performance evaluation; systems re-engineering; AI search techniques; automatic improvement mechanism; automatic workflow improvement; business information system; business performance improvement; business reengineering; executable system model; execution environment; execution resources; improvement operators; performance goal; performance goals; Artificial intelligence; Business process re-engineering; Costs; Delay; Expert systems; Hardware; Information systems; Measurement; Performance analysis; System performance;
Conference_Titel :
Tools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-8186-6785-0
DOI :
10.1109/TAI.1994.346434
