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What is MapleSim?

MapleSim is an advanced modeling platform that facilitates everything from the implementation of digital twins for virtual commissioning to the development of comprehensive system models for complex engineering projects, thereby achieving considerable reductions in both time and cost associated with development while effectively tackling real-world performance issues. By focusing on enhancing control code instead of making hardware changes, users can eliminate unwanted vibrations and identify the root causes of performance challenges through detailed simulation analysis. This robust tool enables the assessment of design performance before progressing to the creation of physical prototypes. Utilizing the latest methodologies, MapleSim significantly accelerates the process of model development and deepens the understanding of system dynamics, allowing for swift, high-fidelity simulations. As your simulation needs grow, the platform provides the flexibility to scale and interconnect your models seamlessly. Its versatile modeling language allows for the expansion of designs by integrating components from various domains within a virtual prototype, confidently addressing even the most complex machine performance issues. Furthermore, the iterative nature of the tool encourages continuous refinement and improvement, ultimately empowering engineers to pursue innovation with both efficiency and precision, ensuring their designs fulfill the high standards required for contemporary engineering challenges. In essence, MapleSim is a vital asset for any engineer aiming to navigate the complexities of modern design and simulation effectively.

What is HAULSIM?

HAULSIM integrates fleet resources, mining operation strategies, and personnel to develop a digital representation of any mining site—be it underground or open pit—that provides a precise depiction of haulage activities. At its core, HAULSIM features a 3-D Discrete Event Simulation engine (DES), making it the sole mining simulation software capable of measuring the effects of changes since it encompasses every facet of a mining operation, including its variability, interactions, and interdependencies. By utilizing actual data, users can make informed decisions regarding their haulage systems, enabling them to explore various 'whys' and 'what if' scenarios aimed at minimizing costs, enhancing performance, and bolstering safety and efficiency in operations. This capability not only supports operational improvements but also fosters a proactive approach to addressing potential challenges within the mining sector.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Perpetual and subscription available

Supported Platforms

Windows
Mac

Supported Platforms

Windows

Customer Service / Support

Standard Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Waterloo Maple

Date Founded

1988

Company Location

Canada

Company Website

www.maplesoft.com/products/maplesim/

Company Facts

Organization Name

RPMGlobal

Date Founded

1968

Company Location

Australia

Company Website

rpmglobal.com/product/haulsim/

Categories and Features

Digital Twin

Not specified

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Dynamic Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Turbulence Modeling

Categories and Features

Digital Twin

Not specified

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
Stochastic Modeling

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