Chaitanya P. Shivade, Farha Mukri, R. Ramnath, J. Ramanathan
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引用次数: 1
摘要
IBM Global Business Solutions已经成功地使用组件业务模型(CBM)和人工合成的热图来开发有助于战略决策的逻辑模型。CBM的一个关键方面是识别执行、控制和方向的分层企业内部方法。然而,这些层之间的性能关系在算法计算上可能是一个挑战,因为这些层使用的底层模型和指标之间存在典型的“阻抗”不匹配。本文介绍了一个与微观经济学和作业成本法相关的元模型——交互模型。我们展示了这种算法是如何关联操作执行数据的;到面向服务的大型系统的CBM热图。我们使用来自哥伦布市311系统(城市服务一站式请求处理系统)的生产数据来说明该算法在生成热图以帮助服务投资和其他仪表板类型应用程序方面的价值。
Method for continuous generation of Component Business Model heat map using execution data for a complex service enterprise
Component Business Models (CBM) and manually synthesized heat maps have been used successfully by IBM Global Business Solutions to develop logical models that assist strategic decision-making. A key aspect of CBM is the layered intra-enterprise approach that identifies Execution, Control and Direction. However, the performance relationships between these layers can be a challenging to compute algorithmically, because of the typical ‘impedance’ mismatch between the underlying models and metrics used at these layers. In this paper, we introduce a meta-model related to microeconomics and Activity Based Costing - which we call the Interaction model. We show how this algorithmically relates operational execution data; to CBM heat maps for large scaled service-oriented systems. We use production data from the city of Columbus' 311 system (a one-stop request handling system for city services) to illustrate the value of this algorithm in generating the heat map to help service investments and other dashboard type applications.