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What is Libra?

Libra serves as a comprehensive solution designed to enhance the efficiency of asphalt plant operations by seamlessly integrating production, loadout, and ticketing into a fully automated workflow. With its flexible plant controls, it accommodates both batch and drum mix automation, allowing for customized adjustments that cater to specific operational requirements. The platform is made up of highly configurable modules that improve plant throughput, thereby enabling quicker truck loading and dispatch processes. Enhanced automation is also supported through various features, including self-service kiosks, remote printing capabilities, camera identification technology, and silo loadout systems, which allow drivers to remain in their vehicles and ensure a continuous flow of trucks at the plant. Implementing Libra can lead to significant improvements, such as a reduction of 35% in time spent on-site, an increase of over 25% in loading efficiency, and a 30% decrease in the time needed for drum plant calibration. Moreover, it facilitates the digitization of all tickets for incoming loads, both at the plant and on job sites, as well as in administrative offices, further streamlining the operational process. This not only enhances overall management efficiency but also promotes environmentally sustainable practices within the industry. Ultimately, Libra represents a transformative approach to asphalt plant operations, ensuring a more agile and productive work environment.

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

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

Command Alkon

Date Founded

1976

Company Location

United States

Company Website

commandalkon.com/products/libra/

Company Facts

Organization Name

Inca Tools

Company Location

Netherlands

Company Website

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

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