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What is Simulation Modeling?

Simulation modeling, commonly known as predictive modeling, is an effective approach for developing experimental computer models that closely mimic an existing system. These models can integrate designs from AutoCAD and are further enhanced with animations, allowing the simulation to accurately depict the workings of the real system. In addition, the model can replicate actual schedules for patients or products, facilitating performance evaluations that can be benchmarked against the real system when accessible. After the simulation model is created, it offers the opportunity to conduct extensive experiments on the digital representation, optimizing performance without disrupting real-world functions. This technique is also vital for conceptualizing and building entirely new systems from scratch, enabling meticulous design of facilities like hospitals or clinics that cater to specific organizational needs. Moreover, it serves as a crucial resource for refining existing systems that may not meet their performance goals, promoting operational improvements and greater efficiency. This comprehensive approach not only aids in the formulation of innovative designs but also fosters ongoing enhancement and evolution of established systems, ensuring they remain competitive and effective over time. As a result, organizations can confidently navigate changes and adapt to new challenges in their operational landscapes.

What is Simulation Master?

Simulation Master functions entirely within the familiar environment of Excel, allowing users to easily navigate its features. Its integration with Excel empowers you to adjust reports and visualizations to facilitate better communication with your colleagues. Users can enter simulation functions directly into the Excel worksheet, and if assistance is needed, Simulation Master offers useful resources to help with the input of random variables, time series, decision variables, and copulas. Moreover, if you've utilized DTace to create a decision tree, Simulation Master enables you to simulate outcomes at chance nodes, going beyond simple discrete results. Additionally, for those who have built a machine learning model using Vaimal, Simulation Master can execute simulations based on that model, providing a robust analytical framework. This dynamic interplay between data models and simulation analytics significantly enhances your analytical potential. In conclusion, the integration of these tools not only streamlines your data analysis process but also enriches your insights, ultimately leading to more informed decision-making.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$3,500 one-time payment
Free Trial Offered?
Free Version

Pricing Information

$199 one-time payment
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Rapid Modeling Corporation

Date Founded

1994

Company Location

United States

Company Website

www.rapidmodeling.com

Company Facts

Organization Name

Vortarus Technologies

Date Founded

2017

Company Location

United States

Company Website

vortarus.com

Categories and Features

Decision Support

Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

Categories and Features

Decision Support

Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control

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