Agent-Based Simulation Fusion for Improved Decision Making for Service Operations

• We use agent-based modeling and simulation to fuse data from multiple sources to estimate the state of some system properties. This implies that the real system of interest is modeled and simulated using agent principles. Using Monte-Carlo simulation, we estimate the values of some decision-relevant numerical properties, such as utilization of resources and service levels, as a decision support for a Maintenance Service Provider. Our initial results indicate that this kind of fusion of information sources can improve the understanding of the problem domain (e.g. to what degree some critical properties influence service operations) and also generate a basis for decision-making.

Nyckelord

Agent-based simulation fusion

Service operation

Agent-based modeling and simulation

Decision support

Technology

Teknik

Publikations- och innehållstyp

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