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Ratings and Reviews 0 Ratings
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AlisQIAlisQI is a quality management platform for process and batch manufacturers who want to bring more structure, visibility, and control to their operations, without turning quality into a separate administrative burden. Many quality systems focus on documents and events after the fact. AlisQI takes a different approach by connecting quality, lab, and production data into a shared operational context. This makes it easier for teams to understand what is happening in real time, identify emerging issues, and respond before problems escalate. The platform consists of a set of modular quality capabilities, covering areas such as document control, training management, deviations, CAPA, audits, risk management, supplier quality, statistical process control, and EHS. These modules are combined into ready-to-use solutions, called Solvers, that address specific quality and operational challenges in day-to-day manufacturing. Solvers are designed to work from the start and adapt as products, processes, or sites evolve. Changes can be made without custom development, external consultants, or disruptive IT projects, allowing manufacturers to improve continuously while staying compliant by default. AlisQI is used by manufacturing companies across multiple industries to reduce firefighting, improve consistency across sites, and support stable, predictable operations.
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What is Simcenter MAGNET?
Simcenter MAGNET is a sophisticated simulation platform designed for the analysis of electromagnetic fields, allowing users to forecast the performance of various devices, including motors, generators, sensors, transformers, actuators, and solenoids that utilize permanent magnets or coils. By enabling simulations of low-frequency electromagnetic fields, this tool provides extensive modeling functionalities that faithfully capture the fundamental physics involved in electromagnetic devices. Key features include modeling of manufacturing processes, consideration of temperature-dependent material properties, and detailed analysis of the magnetization and de-magnetization processes, complemented by vector hysteresis models. Additionally, the software incorporates a built-in motion solver with six degrees of freedom, facilitating the precise modeling and examination of complex scenarios like magnetic levitation and intricate motion dynamics. This capability is further enhanced by cutting-edge smart re-meshing technology, which ensures that even the most challenging electromagnetic issues can be effectively tackled. As a result, Simcenter MAGNET has become an indispensable resource for engineers and designers aiming to enhance the performance of electromagnetic systems across various applications, ultimately leading to more efficient and innovative designs. The continuous advancements in simulation accuracy and efficiency make it a standout choice in the field.
What is MAK ONE?
Presenting a powerful and adaptable Computer Generated Forces (CGF) platform that enriches synthetic environments with interactive urban, battlefield, maritime, and aerial elements. VR-Engage allows users to assume various roles, including that of a first-person human character, ground vehicle operator, gunner, commander, or pilot of both fixed-wing aircraft and helicopters. It provides an impressive game-like visual quality through a high-performance image generator, ensuring an engaging experience for users. Crafted by specialists in modeling and simulation, this tool is designed to support a wide range of training and simulation activities. Equipped with sensors that realistically emulate the physics of light across diverse wavelengths, it effectively represents electro-optical, night-vision, and infrared capabilities. Moreover, it supports applications that empower users to model, visualize, and actively participate in extensive whole-earth multi-domain simulations. This advanced platform not only offers multi-domain computer-generated forces but also acts as a versatile virtual simulator. With its state-of-the-art imaging technologies, including EO, IR, and NVG sensors, it enhances synthetic aperture radar simulations, proving to be an essential resource for contemporary training environments. By seamlessly integrating advanced technology with realistic simulations, VR-Engage is set to revolutionize the realms of virtual training and operational preparedness, ultimately leading to more effective training outcomes for users.
Integrations Supported
Simcenter Amesim
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
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
Siemens
Company Location
United States
Company Website
plm.sw.siemens.com/en-US/simcenter/electromagnetics-simulation/magnet/
Company Facts
Organization Name
MAK Technologies
Company Location
United States
Company Website
www.mak.com/mak-one/applications
Categories and Features
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
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