Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Yes
API Access
Has API
No
Integrations
AXSMarine API Hub
Yes
Alphaliner
Yes
Aspen DMC3
No
Microsoft Excel
No
Integrations
AXSMarine API Hub
No
Alphaliner
No
Aspen DMC3
Yes
Microsoft Excel
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
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
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No