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What is Proficy Smart Factory MES?

Elevate lean manufacturing methodologies for Food & Beverage and Consumer Packaged Goods producers by utilizing insights and intelligence from the Industrial Internet of Things (IIoT). Proficy Manufacturing Execution Systems (Proficy MES) provides a robust array of solutions aimed at transforming your F&B and CPG manufacturing processes through the unification of data, IIoT innovations, machine learning features, and predictive analytics. By seamlessly blending the digital realm with the physical facets of manufacturing, Proficy MES enables thorough performance management specifically designed for today's interconnected enterprises. This integration enhances the alignment of resources, optimizes energy consumption, and improves overall operational efficiency, resulting in lower inventory levels, the detection of expensive production flaws, reduced energy and utility waste, and enriched insights into throughput and critical operations. Additionally, feedback collected from Gartner Peer Insights offers genuine, unbiased evaluations from our clientele, showcasing their firsthand experiences with our Manufacturing Execution System (MES) product and its influence on their operations. These customer narratives not only reveal the transformative advantages brought by Proficy MES but also emphasize its crucial role in maximizing manufacturing productivity and driving business growth. Ultimately, investing in Proficy MES can lead to a significant competitive edge in the market.

What is Oracle IoT Intelligent Applications Cloud?

Oracle’s IoT Intelligent Applications Cloud provides improved visibility, actionable insights, and enhanced operational efficiencies by utilizing data from interconnected devices, specifically targeting areas such as smart manufacturing, connected assets, logistics, workplace safety, and customer experiences. By implementing IoT applications, organizations can increase their revenue by optimizing efficiency, enhancing supply chain transparency, and developing new business models. Moreover, the real-time data collected from sensors allows businesses to avert potential downtimes through proactive maintenance of their machinery, vehicles, and other assets. Cost savings can be realized through effective monitoring of vehicle routes and tracking products in transit, ensuring that resources are managed effectively. In addition, the platform assists in maintaining regulatory compliance and quickly diagnosing incident causes by providing immediate insights into workplace conditions, leading to a safer work environment. Embracing these cutting-edge IoT solutions can fundamentally reshape operational approaches and promote enduring growth while also fostering innovation across various sectors. Overall, organizations that invest in such technologies are likely to experience a competitive advantage in their respective industries.

Media

Media

Integrations Supported

BarTender
CLEAN_Data
Freight Tiger
Oracle NoSQL Database
PARCview
Seeq
TrendMiner
dataPARC Historian

Integrations Supported

BarTender
CLEAN_Data
Freight Tiger
Oracle NoSQL Database
PARCview
Seeq
TrendMiner
dataPARC Historian

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

GE Vernova

Date Founded

2011

Company Location

United States

Company Website

www.ge.com/digital/applications/manufacturing-execution-systems

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/internet-of-things/

Categories and Features

Manufacturing Execution

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

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

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

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