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What is FactoryWiz?

FactoryWiz Machine Monitoring is a comprehensive intranet solution designed to enhance manufacturing productivity by providing real-time data on machine functionality. It collects and timestamps information from a range of equipment such as CNC machines, robots, and assembly lines, presenting this data through intuitive dashboards accessible via any internet-connected device. This system equips management with the tools needed to make prompt, informed decisions and plan future strategies based on past performance metrics. One of its standout features, FactoryWizTV, displays the live operational statuses of machines—showing whether they are operational, paused, idle, or facing alarms—and supports various operational modes, including setup and maintenance. The platform also boasts customizable dashboards that emphasize key performance indicators such as machine uptime, Overall Equipment Effectiveness (OEE), active jobs, part counts, and reasons for downtime. In addition, FactoryWiz provides a selection of pre-built reports for tracking productivity, which can be customized using applications like Crystal Reports and Power BI, thereby facilitating more thorough analysis and reporting options. This adaptability ensures that users can tailor the system according to their unique operational requirements and goals, ultimately leading to a more efficient manufacturing environment. The ability to personalize the interface further enhances user engagement and promotes a culture of continuous improvement within the organization.

What is APM Health?

APM Health, which is part of GE Digital's asset performance management suite, manages data from a variety of assets and systems to create a comprehensive and validated data repository that provides a unified view of expected performance at the asset, plant, and enterprise levels. By tackling challenges related to data inconsistency and latency that typically hinder the management of industrial assets, APM Health delivers real-time insights into asset health, issues timely warnings for possible failures, and spots areas with elevated risks. The health manager leverages the collected data to evaluate and convey the current status of the asset in its operational context. It employs techniques for anomaly detection by scrutinizing metrics and implementing rule-based exceptions. Furthermore, the health manager ensures continuous monitoring of asset health through regular data surveillance, along with specific checks or scheduled assessments via rounds and calibration oversight. This comprehensive system ultimately enhances decision-making capabilities, bolstering operational efficiency, while also fostering a proactive approach to asset management that can lead to significant cost savings and improved reliability over time.

Media

Media

Integrations Supported

.NET
C#
MariaDB
Microsoft Excel
Microsoft Power BI
SAP Crystal Reports

Integrations Supported

.NET
C#
MariaDB
Microsoft Excel
Microsoft Power BI
SAP Crystal Reports

API Availability

Has API

API Availability

Has API

Pricing Information

$1,995 per machine
Free Trial Offered?
Free Version

Pricing Information

Free
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

FactoryWiz

Date Founded

1983

Company Location

United States

Company Website

www.factorywiz.com/monitoring/machine-monitoring-overview/

Company Facts

Organization Name

GE Digital

Company Location

United States

Company Website

www.ge.com/digital/applications/asset-performance-management/apm-health

Categories and Features

Categories and Features

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