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What is MIM.365?

Effective connectivity plays a vital role in the success of any initiative, which is why we are streamlining the process for your convenience. All production data points, such as cycle times, faults, measured values, and vibrations, are smoothly incorporated into the production dashboard. When a message is identified, it is instantly transmitted to the database, where the relevant data point is established and linked within the dashboard. By employing industrial protocols like Profinet, Profibus, OPC UA, and various databases, we can directly retrieve data from the machine's PLC. This information is then quickly processed through the master data management system, eliminating the need for extra engineering work. It is crucial for information to be displayed in an easily understandable format, and our dashboards are meticulously crafted to provide this clarity. Whether you're looking for insights on an individual machine, a collection of machines, an entire facility, or your whole organization, the information is uniformly processed using the same calculation algorithms to ensure consistency. This methodology guarantees that decision-makers are equipped with real-time data, significantly improving the overall efficiency and effectiveness of operations. Additionally, this proactive approach allows teams to identify areas for improvement and adapt strategies accordingly.

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.

Media

Media

No images available

Integrations Supported

SQL

Integrations Supported

SQL

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

Quick Manufacturing Intelligence

Company Website

www.mim-365.com

Company Facts

Organization Name

CreateASoft

Date Founded

1992

Company Location

United States

Company Website

www.createasoft.com

Categories and Features

Manufacturing Execution

Document Management
Forecasting
Quality Control
Quote Management
Resource Management
Supplier Management
Supply Chain Management
Traceability

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

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