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Description
The Internet of Things (IoT) technology firm harnesses data derived from the physical environment to reduce risks and enhance operational excellence. By integrating a Manufacturing Execution System, businesses can elevate visibility in both discrete and process manufacturing through a cloud-native, on-premise deployable Industry 4.0 solution that incorporates IIoT elements. With WorkFlow Studio(TM), users can effortlessly design workflows and processes without writing any code, while Facility Studio allows for the visual creation of these processes in a no-code environment, enabling the monitoring of assets, inventory, teams, and their interactions. Users can analyze the execution of these processes and workflows against plans to identify and quantify any deviations effectively. The connection between the shop floor and top management is facilitated through easily interpretable KPIs that operate autonomously. Additionally, ASSET-Rx provides tools for designing, planning, and monitoring operations in real-time, ensuring efficiency by autonomously collecting crucial data from global operations and delivering valuable operational insights. This comprehensive approach not only streamlines processes but also empowers organizations to make informed decisions based on real-time information.
Description
For over three decades, the modular process control system known as Plant iT has been effectively utilized in production facilities within the process industry, focusing on automation, information, and control technology. It encompasses a wide range of capabilities, including the acquisition of operating data, process control technologies, liquid handling, and batch systems, alongside comprehensive functions for managing production remotely (MES) and integrating with ERP, LIMS, and maintenance systems, all of which can be continuously monitored and controlled through Plant iT. Each fundamental Plant iT system is equipped with a centralized engineering environment featuring a unified database and an integrated interface for parameterization. The various modules can be combined with the base systems as needed, allowing for flexible implementation and scalability tailored to specific industry requirements and production methods. Developed by ProLeiT GmbH, Plant iT is characterized as an object-oriented and PLC-based process control system that integrates MES functionalities, making it a robust solution for modern manufacturing challenges. Such versatility ensures that users can adapt their systems as technological advancements occur and as their operational needs evolve.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$2200 one-time payment
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Cratus Technology
Founded
2013
Country
United States
Website
www.cratustech.com
Vendor Details
Company Name
ProLeiT
Founded
1986
Country
Germany
Website
www.proleit.com/plant-it/
Product Features
Industrial IoT
Condition Monitoring
No
Data Visualization
No
Factory Data Analytics
No
Machine Learning
No
Machine Workflow Creation
No
Predictive Maintenance
No
Production Line / Factory Insights
No
Real-Time Monitoring
No
Reporting / Analytics
No
Smart Alerts / Notifications
No
IoT
Application Development
No
Big Data Analytics
Yes
Configuration Management
No
Connectivity Management
Yes
Data Collection
Yes
Data Management
Yes
Device Management
Yes
Performance Management
Yes
Prototyping
No
Visualization
No
Manufacturing Execution
Document Management
No
Forecasting
No
Quality Control
No
Quote Management
No
Resource Management
No
Supplier Management
No
Supply Chain Management
No
Traceability
No
Product Features
Manufacturing Execution
Document Management
No
Forecasting
No
Quality Control
No
Quote Management
No
Resource Management
Yes
Supplier Management
No
Supply Chain Management
Yes
Traceability
Yes
