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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Utilize data gathered from current sensors to develop machine learning models tailored to your machinery. Ensure swift and accurate automatic monitoring of equipment that identifies problematic sensors. Speed up the resolution of issues with instant alerts and automatic responses when anomalies are identified. Enhance the effectiveness and precision of alerts by integrating trends in anomalies and user feedback. Amazon Lookout for Equipment serves as a machine learning monitoring solution for industrial machinery, identifying unusual operational behavior so you can respond proactively and prevent unexpected downtime. By automatically recognizing atypical equipment behavior, you can effectively avert unplanned interruptions. Lookout for Equipment systematically evaluates sensor data from your industrial systems to uncover abnormal machine activity. This capability enables you to swiftly identify equipment irregularities, diagnose concerns promptly, and take action to prevent unexpected downtime—all without needing prior machine learning expertise. Furthermore, consistent monitoring ensures that your models remain relevant and effective over time.

Description

FactoryTalk® Metrics serves as a comprehensive solution for monitoring efficiency, collecting data, and analyzing the performance of manufacturing machinery. It provides essential insights into equipment performance, offering opportunities to enhance production, cut costs, and improve quality. By delivering precise reports on actual activities occurring on the production floor, this software enables manufacturers to utilize their existing resources and workforce more efficiently. Although it tracks Overall Equipment Effectiveness (OEE), FactoryTalk Metrics extends beyond mere reporting, facilitating deeper inquiries to uncover the root causes of downtime and inefficiencies, thus enabling tangible enhancements in operational performance. Many manufacturers allocate considerable investment towards their equipment but often face challenges such as limited visibility into performance metrics, unanticipated downtimes, and losses stemming from inadequate production quality. This lack of clarity hinders their ability to effectively boost OEE and ultimately achieve their operational goals. By leveraging the insights offered by FactoryTalk Metrics, businesses can finally gain the visibility they need to drive meaningful performance improvements.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
FactoryTalk
Micromerce

Integrations

Amazon S3
FactoryTalk
Micromerce

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

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/lookout-for-equipment/

Vendor Details

Company Name

Rockwell Automation

Founded

1903

Country

United States

Website

www.rockwellautomation.com/en-us/products/software/factorytalk/operationsuite/metrics.html

Product Features

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

Product Features

OEE

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

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