원문정보
초록
영어
The data quality in information systems affects system robustness significantly. Although a large body of research focuses on the issue of data quality, seldom has literature been done to develop effective control policies to manage system robustness associated with data errors. A process-oriented methodology is proposed to manage system robustness measured by performance, control cost and control time, which is achieved through establishing formal model of information systems and mathematical optimization models of system robustness. The proposed methodology captures how structural and functional characteristics of tasks affect system robustness and finds the optimal control policies, which facilitates the robustness-based design and management of information systems respectively. The methodology is illustrated in the case study.
목차
1. Introduction
2. Literature Review
2.1. Data Quality and Data Errors
2.2. Business Process Modeling
2.3. Robustness
3. Formal Model for Information Systems
3.1. Business Process Modeling
3.2. Error Propagation
4. Robustness Optimization of Information Systems
4.1. Control Effectiveness
4.2. Robustness Measures
4.3. Robustness Optimization Models
5. Case Study
5.1. Parameter Estimation
5.2. Numerical Results and Analyses
6. Conclusions
Appendix
Acknowledgements
References