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http://dx.doi.org/10.3745/KIPSTD.2010.17D.4.259

Process Performance Measurement Model Based on Event for an efficient Decision-Making  

Park, Jae-Won (숭실대학교 컴퓨터학과)
Choi, Jae-Hyun (숭실대학교 컴퓨터학과)
Cho, Poong-Youn (숭실대학교 컴퓨터학과)
Lee, Nam-Yong (숭실대학교 컴퓨터학과)
Publication Information
The KIPS Transactions:PartD / v.17D, no.4, 2010 , pp. 259-270 More about this Journal
Abstract
Information systems nowadays are heterogeneous and distributed which integrate the enterprise information by processes. They are also very complex, because they are linked together by processes. It aims to integrate the systems so that these systems work as one system. A process is a framework which contains all of the business activities in an enterprise, and has a lot of information which is needed for measuring performance. A process consists of activities, and an activity contains events which can be considered information sources. In most cases, it is very valuable to determine if a process is meaningful, but it is difficult because of the complexity in measuring performance, and also because finding relationships between business factors and events is not a simple problem. So it would reduce operation cost and allow efficient process execution if I could evaluate the process before it ends. In this paper we propose an event based process measurement model. First, we propose the concept of process performance measurement, and a model for selecting process and activity indexes from the events which are collected from information systems. Second, we propose at methodologies and data schema that can store and manage the selected process indexes, the mapping methods between indexes and events. Finally, we propose a process Performance measurement model using the collected events which gives users a valuable managerial information.
Keywords
Event; Process; Process Performance Measurement; Complex Event Processing;
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