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Ratings and Reviews 0 Ratings
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What is COLUMBO?
A universal multivariable optimizer, designed for closed-loop systems, aims to improve the performance and quality of Model Predictive Control (MPC) systems. This optimizer harnesses data from Excel files derived from Dynamic Matrix Control (DMC) by Aspen Tech, Robust Model Predictive Control Technology (RMPCT) from Honeywell, or Predict Pro from Emerson, facilitating the development and fine-tuning of precise models for various multivariable-controller variable (MV-CV) pairs. This cutting-edge optimization solution does away with the need for step tests that are usually required by Aspen Tech and Honeywell, functioning entirely in the time domain to maintain user-friendliness, compactness, and efficiency. As Model Predictive Controls (MPC) often involve numerous dynamic models—sometimes tens or even hundreds—there is a significant risk of utilizing incorrect models. Inaccurate dynamic models in MPCs can introduce bias, which appears as model prediction errors, leading to inconsistencies between expected signals and actual sensor measurements. COLUMBO emerges as a robust tool to bolster the precision of Model Predictive Control (MPC) models, effectively leveraging either open-loop or fully closed-loop data to guarantee peak performance. By tackling the risks associated with errors in dynamic models, COLUMBO not only enhances the reliability of the control system but also contributes to a more efficient operational framework. Ultimately, its implementation is expected to yield substantial advancements in control system effectiveness across various applications.
What is Alphaliner Predict?
Enhance customer service by increasing the transparency and predictability of container vessel ETAs, ETBs, and ETDs. This improvement enables better planning for inventory levels, production schedules, and transportation logistics. By minimizing uncertainty and streamlining operations, you can achieve significant cost reductions. Furthermore, providing reliable information about shipment arrivals fosters improved customer satisfaction. Access to real-time data facilitates agile decision-making, allowing businesses to respond swiftly to changing conditions. Implementing predictive analytics that take into account factors such as port congestion can further optimize cargo movements. Utilizing advanced statistical models, we are capable of analyzing years of historical sailing data to improve accuracy. This approach ensures comprehensive visibility and predictability for managing and overseeing your shipments effectively. Additionally, coordinating all global services in a single rotation can enhance operational efficiency. Streamlining logistics planning can lead to substantial time and resource savings. By leveraging historical data, you can accurately forecast arrival and departure times while proactively addressing potential supply chain delays. This integrated strategy ultimately leads to a more resilient and responsive supply chain.
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
PiControl Solutions
Company Location
United States
Company Website
www.picontrolsolutions.com/products/columbo/
Company Facts
Organization Name
AXSMarine
Date Founded
2000
Company Location
France
Company Website
public.axsmarine.com/alphaliner-predict
Categories and Features
Categories and Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis