An overview of data warehousing and OLAP technology
ACM SIGMOD Record
A methodological framework for data warehouse design
Proceedings of the 1st ACM international workshop on Data warehousing and OLAP
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Fundamentals of Data Warehouses
Fundamentals of Data Warehouses
Building the Data Warehouse,3rd Edition
Building the Data Warehouse,3rd Edition
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
Extending the E/R Model for the Multidimensional Paradigm
ER '98 Proceedings of the Workshops on Data Warehousing and Data Mining: Advances in Database Technologies
ANNIVERSARY ARTICLE: Stochastic Simulation Research in Management Science
Management Science
A data warehouse environment for storing and analyzing simulation output data
WSC '04 Proceedings of the 36th conference on Winter simulation
Review of advanced methods for simulation output analysis
WSC '05 Proceedings of the 37th conference on Winter simulation
The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming and Delivering Data
Statistical analysis of simulation output
Proceedings of the 40th Conference on Winter Simulation
Information models for queueing system simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Analytical Modeling for the Strategic Design of Service Systems
International Journal of Strategic Information Technology and Applications
An implementation of framework of business intelligence for agent-based simulation
Proceedings of the Fourth Symposium on Information and Communication Technology
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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.