Name
Title | ||
|---|---|---|
PEM: A Framework Enabling Continual Optimization of Workflow Process Executions Based upon Business Value Metrics |
Abstract | ||
|---|---|---|
The competitiveness of the market place and the advent of on demand services computing are encouraging many organizations to improve their business efficiency and agility via business process management technologies. A lot of work has been done in process codification, tracking, and automation. However, a significant gap still remains between the way an organization驴s codified processes execute and the organization驴s business objectives such as maximizing profit with high-degree of customer satisfaction. This paper addresses this gap by proposing a process execution management (PEM) framework which enables continual optimization of workflow process executions based upon business value metrics such as SLA breach penalty, revenue, and customer satisfaction index. We have implemented the PEM framework based upon leading commercial products. We have also used the framework to develop two representative business performance management solutions for service quality management processes and application execution workflows. Our experimental results show that, when compared with a state-of-the-art commercial workflow product, our PEM system can reduce the loss of business value of a set of process execution requests by 67% on average. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/SCC.2005.71 | IEEE SCC |
Keywords | Field | DocType |
framework enabling continual optimization,business process management technology,business objective,process execution request,representative business performance management,business efficiency,process execution management,business value,business value metrics,service quality management process,workflow process executions,process codification,technology management,service quality,intellectual property,automation,indexation,revenue,profitability,engines,service quality management,business,business process management,continuous optimization,customer satisfaction,quality management,data mining,information technology | Artifact-centric business process model,Business process management,Business process,Computer science,Business process modeling,Business process reengineering,Business process discovery,Business rule,Business Process Model and Notation,Process management | Conference |
Volume | ISSN | ISBN |
2 | 2474-8137 | 0-7695-2408-7-02 |
Citations | PageRank | References |
8 | 0.71 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Melissa J. Buco | 1 | 83 | 11.21 |
| Rong N. Chang | 2 | 346 | 29.75 |
| Laura Z. Luan | 3 | 90 | 10.68 |
| Edward So | 4 | 69 | 7.90 |
| Chunqiang Tang | 5 | 1287 | 75.09 |
| Christopher Ward | 6 | 247 | 22.45 |