Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • SMS Storetraffic Reviews & Ratings
    90 Ratings
    Company Website
  • SAP S/4HANA Cloud Public Edition Reviews & Ratings
    2,881 Ratings
    Company Website
  • Epicor BisTrack Reviews & Ratings
    456 Ratings
    Company Website
  • Epicor Vision Reviews & Ratings
    7 Ratings
    Company Website
  • Inspired Portal Reviews & Ratings
    5 Ratings
    Company Website
  • PackageX OCR Scanning Reviews & Ratings
    43 Ratings
    Company Website
  • Building Logistics Reviews & Ratings
    161 Ratings
    Company Website
  • Bidtracer Reviews & Ratings
    39 Ratings
    Company Website
  • ZiftONE Reviews & Ratings
    487 Ratings
    Company Website
  • CompUp Reviews & Ratings
    65 Ratings
    Company Website

What is MPCPy?

MPCPy is a Python-based library specifically created to facilitate the testing and implementation of occupant-integrated model predictive control (MPC) in building systems. This innovative tool focuses on utilizing data-driven, simplified physical or statistical models to predict the performance of buildings and improve control methodologies. It consists of four key modules that offer object classes for tasks such as data importation, engagement with either real or simulated systems, estimation and validation of data-driven models, and optimization of control inputs. While MPCPy acts as a comprehensive integration platform, it relies on a variety of free, open-source third-party software for executing models, conducting simulations, implementing parameter estimation techniques, and optimizing solvers. This includes Python libraries for scripting and data manipulation, as well as specialized software solutions designed for specific functions. Importantly, the tasks involving modeling and optimization of physical systems are currently based on the requirements of the Modelica language, which significantly enhances the package's flexibility and capabilities. Overall, MPCPy empowers users to harness sophisticated modeling methods within a dynamic and cooperative environment, ultimately fostering improved building system performance. Furthermore, it opens up opportunities for researchers and practitioners alike to experiment with cutting-edge control strategies tailored to real-world scenarios.

What is Epicor Connected Process Control?

Epicor Connected Process Control offers an intuitive software solution designed to create and manage digital work instructions while maintaining strict process control, effectively minimizing the chances of errors in operations. By integrating IoT devices, it captures comprehensive time studies and detailed process data, including images, at the task level, providing unprecedented real-time visibility and quality oversight. The eFlex system is versatile enough to accommodate countless product variations and thousands of components, catering to both component-based and model-based manufacturers alike. Furthermore, work instructions seamlessly connect to the Bill of Materials, guaranteeing that products are assembled correctly every time, even when modifications occur during production. This advanced system intelligently adapts to variations in models and components, ensuring that only the relevant work instructions for the current build at the station are presented, enhancing efficiency and accuracy throughout the manufacturing process. In this way, Epicor empowers manufacturers to maintain high standards of quality control while adapting to the dynamic nature of production demands.

Media

Media

Integrations Supported

Azumuta
Epicor Kinetic
LabVIEW
Node-RED
Python
Ubuntu

Integrations Supported

Azumuta
Epicor Kinetic
LabVIEW
Node-RED
Python
Ubuntu

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

MPCPy

Company Location

United States

Company Website

github.com/lbl-srg/MPCPy

Company Facts

Organization Name

Epicor Software

Date Founded

1972

Company Location

United States

Company Website

www.epicor.com/en-us/products/manufacturing-execution-software-mes/epicor-connected-process-control/

Categories and Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Manufacturing Execution

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

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

OEE

Benchmarking
Cost Tracking
Downtime Tracking
Historical Reporting
Performance Metrics
Quality Control
Real Time Reporting
Root Cause Analysis
Trend Analysis
Work Order Management

Quality Management

Audit Management
Complaint Management
Compliance Management
Corrective and Preventive Actions (CAPA)
Defect Tracking
Document Control
Equipment Management
ISO Standards Management
Maintenance Management
Risk Management
Supplier Quality Control
Training Management

Work Instructions

Branding & Style Sheets
Content Management System
Drag and Drop
Dynamic Tags
Employee Feedback
Guide Approval Workflows
Media Editor
Multi-Brand Publishing
Rich Text Editor
SSO (SAML)
Translations
User Management
Version Control

Popular Alternatives

Cybernetica CENIT Reviews & Ratings

Cybernetica CENIT

Cybernetica

Popular Alternatives

MV2 Reviews & Ratings

MV2

Information Systems Engineering
COLUMBO Reviews & Ratings

COLUMBO

PiControl Solutions
PINpoint V5 MES Reviews & Ratings

PINpoint V5 MES

PINpoint Information Systems
INCA MPC Reviews & Ratings

INCA MPC

Inca Tools