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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Improve your service to customers by providing better visibility and predictability for container vessel ETAs, ETBs, and ETDs. Inventory levels, production schedules and transportation can be better planned. Cost reduction by reducing uncertainty and optimizing operation. Improved customer service through reliable information about shipment arrivals. Data in real-time allows for agile decision-making. Predictive analytics that incorporate data on port congestion, and other factors that affect cargo movements. Using advanced statistical models, we can analyze decades of data on actual sailing plans. Total visibility and predictability for monitoring and controlling your shipments. All global services will be rotated in one rotation. Plan your logistics more efficiently to save time and resources. Predict arrival and departure times using insights from historical data. Address any potential delays in the supply chain.

Description

A closed-loop universal multivariable optimizer is designed to enhance both the performance and quality of Model Predictive Control (MPC) systems. This optimizer utilizes data from Excel files sourced from Dynamic Matrix Control (DMC) by Aspen Tech, Robust Model Predictive Control Technology (RMPCT) from Honeywell, or Predict Pro from Emerson to develop and refine accurate models for various multivariable-controller variable (MV-CV) pairs. This innovative optimization technology eliminates the need for step tests typically required by Aspen Tech and Honeywell, operating entirely within the time domain while remaining user-friendly, compact, and efficient. Given that Model Predictive Controls (MPC) can encompass tens or even hundreds of dynamic models, the possibility of incorrect models is a significant concern. The presence of inaccurate dynamic models in MPCs leads to bias, which is identified as model prediction error, manifesting as discrepancies between predicted signals and actual measurements from sensors. COLUMBO serves as a powerful tool to enhance the accuracy of Model Predictive Control (MPC) models, effectively utilizing either open-loop or fully closed-loop data to ensure optimal performance. By addressing the potential for errors in dynamic models, COLUMBO aims to significantly improve overall control system effectiveness.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AXSMarine API Hub
Alphaliner
Aspen DMC3
Microsoft Excel

Integrations

AXSMarine API Hub
Alphaliner
Aspen DMC3
Microsoft Excel

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

AXSMarine

Founded

2000

Country

France

Website

public.axsmarine.com/alphaliner-predict

Vendor Details

Company Name

PiControl Solutions

Country

United States

Website

www.picontrolsolutions.com/products/columbo/

Product Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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