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What is Honeywell Forge?

Honeywell Forge stands out as a sophisticated analytics software solution that provides users with immediate insights and visual intelligence. Its architecture is adaptable, allowing deployment across diverse cloud or data center settings. This tool offers a holistic view of the organization, illustrating the current status of processes, assets, human resources, and safety protocols. Moreover, Honeywell Forge is tailored to meet the unique needs of different roles within a company, emphasizing a persona-based approach. By employing digital twins, the software leverages real-time data to evaluate performance against leading industry standards, revealing areas ripe for enhancement. Users have the capability to drill down from a broad organizational overview to specific locations and units, enabling them to gain a more detailed understanding of identified opportunities, including the intricacies of the processes and assets involved. With such insights at their disposal, organizations can implement targeted recommendations to tackle challenges and capitalize on identified potential benefits. This functionality not only boosts operational efficiency but also equips organizations with the data needed to make strategic decisions based on solid evidence. Ultimately, Honeywell Forge serves as a valuable ally in driving business transformation and fostering a culture of continuous improvement.

What is Digital Twin Studio?

The Data-Driven Digital Twin toolkit enables real-time visualization, monitoring, and optimization of operations through the use of machine learning and artificial intelligence, effectively managing costs associated with SKUs, resources, automation, equipment, and more. Featuring Digital Twin Shadow Technology, this system provides real-time visibility and traceability via its Open Architecture, allowing seamless interaction with various RTLS and data systems, including RFID, barcode, GPS, and various management software like WMS, EMR, ERP, and MRP. With the integration of AI and machine learning, users benefit from predictive analytics and dynamic scheduling, as the technology offers timely insights and alerts about potential issues before they escalate. Additionally, the Digital Twin Replay feature allows users to revisit past events and configure active alerts, while the Digital Twin Studio supports the playback and animation of these events in virtual reality, 3D, and 2D formats. Furthermore, the tool provides dynamic dashboards with a user-friendly drag-and-drop builder, offering limitless customization options for data presentation and analysis. This comprehensive digital twin solution empowers organizations to enhance efficiency and gain deeper insights into their operational processes.

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Media

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Integrations Supported

APERIO DataWise
Akoonu
AppVisionâ„¢
AutoGrid
Buildings IOT
Cisco Prime Network
Digimarc Discover
DriveHCM
Flosum
Glassdome
Homebase
Innovapptive Connected Worker Platform
Itron Enterprise Meter Data Management
Logistics Vision Suite
Sine
Switch Automation
exacqVision

Integrations Supported

SQL

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Honeywell International

Date Founded

1906

Company Location

United States

Company Website

www.honeywellprocess.com

Company Facts

Organization Name

CreateASoft

Date Founded

1992

Company Location

United States

Company Website

www.createasoft.com

Categories and Features

Digital Twin

Not specified

Industrial Automation

Not specified

MRP

Inventory Management
Order Management
Production Scheduling
Quality Management
Reporting/Analytics
Safety Management

Smart Building

Not specified

Categories and Features

AI Manufacturing

Not specified

Digital Twin

Not specified

Machine Learning

Deep Learning
Model Training
Predictive Modeling
Statistical / Mathematical Tools
Visualization

Manufacturing Intelligence

Aggregation
Analysis
KPIs
Propagation
Visualization

RFID

Not specified

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