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What is Plant IT?

For more than thirty years, Plant iT, a modular process control system, has been successfully employed in production settings across the process industry, emphasizing automation, information management, and control technologies. This system offers an extensive array of features, such as the collection and analysis of operational data, advanced process control technologies, liquid handling systems, and batch processing capabilities, while also providing comprehensive tools for remote production management (MES) and seamless integration with ERP, LIMS, and maintenance systems, all of which can be monitored and managed in real-time through Plant iT. Each core Plant iT system comes with a centralized engineering environment that includes a unified database and an intuitive interface for parameter adjustments. Users can mix and match various modules with the base systems as required, ensuring flexible implementation and scalability that cater to unique industry demands and production techniques. Created by ProLeiT GmbH, Plant iT stands out as an object-oriented, PLC-driven process control system that incorporates MES features, thus presenting a solid solution for contemporary manufacturing challenges. The adaptability of Plant iT also guarantees that users can modify their systems in response to technological innovations and evolving operational requirements, making it a forward-thinking choice for future-ready production facilities.

What is INCA MPC?

Advanced Process Control (APC) serves as an effective means to boost your plant's operational efficiency without necessitating any changes to hardware. By deploying an APC application, you can achieve stable operations while optimizing either production output or energy consumption, which in turn grants valuable insights into your manufacturing workflows. This concept includes a diverse set of methodologies and technologies that enhance basic process control systems, which are mainly built upon PID controllers. For instance, technologies associated with APC feature LQR, LQC, H_infinity, neural networks, fuzzy logic, and Model-Based Predictive Control (MPC). An APC application works tirelessly to optimize plant performance every minute of every day, ensuring that operational efficiency remains consistent. Among these different techniques, MPC is particularly prominent in the industry because it employs a process model to anticipate the plant's performance in the near term, usually from a few minutes to several hours ahead, thereby offering a tactical edge in operational management. By continuously refining processes, APC not only enhances immediate efficiency but also plays a crucial role in achieving long-term sustainability objectives, making it an essential component of modern industrial practices. The integration of these advanced strategies can lead to significant improvements in both productivity and environmental impact.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$2200 one-time payment
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

ProLeiT

Date Founded

1986

Company Location

Germany

Company Website

www.proleit.com/plant-it/

Company Facts

Organization Name

Inca Tools

Company Location

Netherlands

Company Website

www.incatools.com/advanced-process-control/

Categories and Features

Manufacturing Execution

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

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