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Abstract: Business performance prediction and optimization are important segments in business performance management (BPM). A business performance prediction and optimization model and an implementation scheme using data warehouse technique and system dynamics (SD) are presented. Three key points of this model are studied: ① The construction of key performance indicators (KPIs). ② The mapping method from KPIs to SD model. ③ Algorithms to solve the KPI prediction and optimization in SD model. The scheme is deployed in a real workflow system CIMFlow to testify the effectiveness.
Key words: Business performance management System dynamics Data warehouse
CLC No:
TP39
国家高技术研究发展计划(863计划, 2006AA04Z151)和国家自然科学基金(60674080)资助项目.
Received
20070512,
received
in
revised
form
20071012收到修 改稿
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