Operations Research
Structural and behavioral equivalence of simulation models
ACM Transactions on Modeling and Computer Simulation (TOMACS)
The interface between simulation output analysis research and practice
WSC '95 Proceedings of the 27th conference on Winter simulation
Simulation optimization using simultaneous replications and event time dilation
Proceedings of the 29th conference on Winter simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Simulation modeling with event graphs
Communications of the ACM
Improved decision processes through simultaneous simulation and time dilation
Proceedings of the 32nd conference on Winter simulation
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Data Structures and Algorithms
Data Structures and Algorithms
Ranking and Selection for Steady-State Simulation: Procedures and Perspectives
INFORMS Journal on Computing
Simulation optimization: simulation-based optimization
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Analysis methodology: are we done?
WSC '05 Proceedings of the 37th conference on Winter simulation
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
On the Generality of Event-Graph Models
INFORMS Journal on Computing
Design and Analysis of Simulation Experiments
Design and Analysis of Simulation Experiments
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Simulation modeling methodology research and simulation analysis methodology research have evolved into two nearly separate fields. In this paper, ways are shown how simulation might benefit from modeling and analysis becoming more closely integrated. The thesis of this paper is that simulation analysis and simulation modeling methodologies, considered together, will result in important advancements in both. Some examples demonstrate how dramatically more efficient discrete event simulation models can be designed for specific analytical purposes, which in turn enable more powerful analytical procedures that can exploit the special structures of these models. A series of increasingly difficult analytical problems, and models designed to solve them, are considered: starting with simple performance estimation, and progressing to dynamic multiple moment response surface meta-modeling.