Abstract
More and more asset management organizations are relying on trusted data to drive their decision making process. Yet little systematic research has been performed regarding the generation of trusted data. Trusted data has a clear, defined and consistent quality which meets the expectations of the user. The aim of the research presented in this paper is to develop a conceptual model to support asset management organizations with regards to their development of data infrastructures which produce trusted data and provide organizations with the capability to make the right decisions at the right time. The autonomous characteristics of agent-based systems and process orientation of discrete-event simulation are combined in our conceptual model. In this way both the autonomous social behavior of organizations and their business processes can be modelled. Several predefined components containing the behavior of agents through various coordination mechanisms have been developed. These components can be further customized to model an empirical situation more closely. The approach is illustrated with a case study in the asset management domain.
| Original language | English |
|---|---|
| Pages (from-to) | 274–280 |
| Journal | Procedia Computer Science |
| Volume | 61 |
| DOIs | |
| Publication status | Published - 2015 |
Keywords
- complex adaptive systems; CAS
- data infrastructure
- asset management
- data quality