In our blog, we share ideas about simulation, modeling, software delivery, systems analysis, and systems design. For information specific to the Software Delivery Simulator, consider taking a look at the video tutorials and white papers.

Historical foundations for computer-based simulations

Today, simulation is widely used in various commercial and non-commercial settings, largely thanks to the accessibility of computer hardware.

Introduction to cloud computing for research

Cloud computing is a double-edged sword – it has both promising perks and worrying drawbacks.

When and why to simulate business processes

The premise of simulation is simple, but many businesses are not sure how simulation can and should help them.

Selecting the optimal statistical programming language for a data science application

Researchers and practitioners should carefully, but quickly, assess the needs of their projects before selecting a statistical programming language.

Relevance of AI in computer-aided design

Today, computer-aided design is on the verge of another revolution.

The most important probability distributions for business process simulation

A crucial step in business process simulation is selecting probability distributions to represent simulation inputs.

Closing the loop - simulation validation in software delivery

Before a simulation is permitted to direct organizational decision-making, a validation phase must be performed to “close the loop.”

The complementary nature of probability and statistics in simulation engineering

Simulation professionals need to be fully aware of the nuances of both probability and statistics throughout the simulation project lifecycle.

The best programming languages for stochastic modeling and analysis

Stochastic methods have become a vital part of both scientific research and practice, across a wide variety of industries and domains.

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