Noninverse correlation induction: guidelines for algorithm development
Journal of Computational and Applied Mathematics - Random numbers and simulation
The interface between simulation output analysis research and practice
WSC '95 Proceedings of the 27th conference on Winter simulation
Methods for selecting the best system
WSC '91 Proceedings of the 23rd conference on Winter simulation
SERVO: simulation experiments with random-vector output
WSC '91 Proceedings of the 23rd conference on Winter simulation
Correlation induction without the inverse transformation
WSC '86 Proceedings of the 18th conference on Winter simulation
Simulation environment of the 1990's (panel)
WSC '87 Proceedings of the 19th conference on Winter simulation
Advanced input modeling for simulation experimentation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Alternative approaches for specifying input distributions and processes (panel session)
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Practice: guidelines for designing simulation building blocks
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
A framework for configurable hierarchical simulation in a multiple-user decision support environment
WSC '05 Proceedings of the 37th conference on Winter simulation
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In the late 80's, a session was organized on "Simulation Environment of the 1990's". Fourteen years have passed. Where are we now with respect to the predictions made the last time? Can we make new predictions, now that new hardware and software are ever more powerful? Are we any closer to where we wanted to be with methodologies, tools, etc.?Looking back at the paper for the session "Simulation Environment of the 1990's" in the Proceedings of the 1987 Winter Simulation Conference, many of the questions posted then are still valid since many of the issues are still unresolved. Figure 1 below is taken from Kachitvichyanukul et.al.(1987) as a reference point. Some of the questions for the panelists to addressed are listed as follows:• The concept of what constitutes a simulation environment is growing faster than the ability of any one company to keep up.• The addition of gee-whiz features has taken precedence over addressing architectural shortcomings.• There's a disproportionate degree of interest in web-based simulation technology in academia and the military/government. It is rare to find anyone in the real world who is interested in web-based simulation.• A simulation environment also should support the model analysis. In addition, modeling can be partitioned into the logical model and the input model. Most simulation software focuses on the logical model.• Not enough efforts are spent on development of tools to support model analysis. Many such tools are published and known for quite sometime but no commercial firm seems to be interested in including them in the software.• Most of the new features added in new software tools are "gee whiz" items that do not improve basic simulation methodology.• Not everybody needs an integrated system, a toolbox approach is more appropriate.