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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Actively oversee the health of machines and plants to maintain maximum uptime, productivity, and address maintenance requirements effectively. Utilize the advantages of analytics along with Industrial IoT technologies to achieve a more comprehensive understanding of equipment on the plant floor, facilitating predictive maintenance capabilities. Keeping an eye on machine health is essential to minimize production interruptions that stem from unexpected failures and outages. By promoting predictive maintenance, the time required to assess machine health issues can be significantly reduced, while also enhancing the traceability of historical data. Integrate IT and OT data into a unified viewpoint to bridge the gap between plant floor information and MES data, thereby enabling more informed decision-making processes. Employ real-time data gathering and integrated analytics to monitor live data concerning machine health and performance, assess machines against optimal conditions, and issue early warnings about potential disruptions, which in turn helps in lowering overtime labor costs, scrap rates, emergency maintenance expenses, and adverse impacts on profit and loss. This comprehensive approach not only enhances operational efficiency but also fosters a culture of proactive management across the manufacturing process.

Description

Ensure the upkeep and efficiency of physical assets by leveraging real-time data, the Internet of Things (IoT), machine learning, mobile solutions, and advanced predictive analytics. Enhance the planning, scheduling, and execution of maintenance tasks through the integration of smart technologies that offer fresh value and streamline your operations. Disseminate exemplary methods for the effective deployment, oversight, and maintenance of machinery. Improve the management of assets and customer service workflows with a centralized database for all asset and equipment details. Minimize equipment downtime and boost asset productivity through an automated system for monitoring equipment utilization. This comprehensive approach not only enhances operational efficiency but also fosters a culture of continuous improvement in asset management practices.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AS-TEG
Nisoft Eclipse Suite
Plex Manufacturing Execution System (MES)
Plex Production Monitoring
Plex Quality Management System (QMS)
Plex Smart Manufacturing Platform
SAP Joule
SAP Store
Sigga EAM Empower
Sigga Planning & Scheduling
Sockeye
UptimeAI

Integrations

AS-TEG
Nisoft Eclipse Suite
Plex Manufacturing Execution System (MES)
Plex Production Monitoring
Plex Quality Management System (QMS)
Plex Smart Manufacturing Platform
SAP Joule
SAP Store
Sigga EAM Empower
Sigga Planning & Scheduling
Sockeye
UptimeAI

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

Rockwell Automation

Founded

1903

Country

United States

Website

www.plex.com/products/asset-performance-management

Vendor Details

Company Name

SAP

Founded

1972

Country

Germany

Website

www.sap.com/products/supply-chain-management/asset-management-eam.html

Product Features

Product Features

EAM

CMMS
Energy Management
Equipment Management
Facility Management
IT Asset Management
Inventory Management
Maintenance Management
Parts Management
Preventive Maintenance Scheduling
Software License Management
Warranty Management
Work Order Management

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