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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AS-TEG No 
Innovapptive Connected Worker Platform No 
Nisoft Eclipse Suite No 
Plex Manufacturing Execution System (MES) Yes 
Plex Production Monitoring Yes 
Plex Quality Management System (QMS) Yes 
Plex Smart Manufacturing Platform Yes 
Redlist No 
SAP Joule No 
SAP Store No 
Sigga EAM Empower No 
Sigga Planning & Scheduling No 
Sockeye No 
UptimeAI No 

Integrations

AS-TEG Yes 
Innovapptive Connected Worker Platform Yes 
Nisoft Eclipse Suite Yes 
Plex Manufacturing Execution System (MES) No 
Plex Production Monitoring No 
Plex Quality Management System (QMS) No 
Plex Smart Manufacturing Platform No 
Redlist Yes 
SAP Joule Yes 
SAP Store Yes 
Sigga EAM Empower Yes 
Sigga Planning & Scheduling Yes 
Sockeye Yes 
UptimeAI Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

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 No 
Energy Management No 
Equipment Management No 
Facility Management No 
IT Asset Management No 
Inventory Management No 
Maintenance Management No 
Parts Management No 
Preventive Maintenance Scheduling No 
Software License Management No 
Warranty Management No 
Work Order Management No 

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