| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 509256 | Computers in Industry | 2011 | 9 Pages |
Abstract
We propose an interactive approach for the flexible analysis of detailed state-transition data collected from discrete-event simulation models of logistics systems. To this end, we focus on multidimensional modeling in order to reveal the drivers of time-variant system performance. Online Analytical Processing functionality provides fast and flexible organization, aggregation and visualization of information. We illustrate the advantages of such an approach with data from simulation studies of the Upper Mississippi River waterway system.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Jan Fabian Ehmke, Daniel Großhans, Dirk Christian Mattfeld, L. Douglas Smith,