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What is hopit Manufacturing?

Hopit Manufacturing provides cutting-edge software solutions designed to help small and medium-sized manufacturing businesses track Overall Equipment Effectiveness (OEE), monitor downtime, and manage production processes in real-time. This innovative software offers instant visibility into the operational status of machinery, current production orders, and essential metrics such as availability, performance, quality, and OEE. It automatically logs instances of downtime, allowing users to add specific reason codes which aid in identifying ongoing losses and potential areas for improvement. Furthermore, hopit Edge facilitates the seamless collection of machine and production data from diverse sources, including PLCs, CNC controllers, and various industrial devices, leveraging protocols like Siemens SINUMERIK, Siemens S7, Beckhoff ADS/TwinCAT, OPC UA, Modbus, and MQTT. By establishing a reliable data foundation, the platform enhances various functions such as reporting, analytics, and AI-driven applications, ultimately driving improved manufacturing efficiency and informed decision-making. Moreover, this comprehensive system empowers manufacturers to take a proactive approach in resolving issues and optimizing their processes, leading to increased productivity and operational excellence. As a result, Hopit Manufacturing stands out as a vital partner for manufacturers seeking to thrive in a competitive landscape.

What is Senseye PdM?

Senseye PdM utilizes cutting-edge proprietary machine learning approaches to predict asset failures before they happen. By continuously assessing the operational performance of machinery, Senseye is able to provide precise forecasts on when maintenance should be conducted. This capability enables maintenance teams to focus their resources on the most critical assets needing immediate attention. With a straightforward implementation process, organizations can lower their maintenance costs while improving the accuracy of their downtime forecasts. Built with scalability in mind, Senseye PdM can support any number of connected devices, regardless of size. The automated condition monitoring delivers insights that spotlight only the most crucial data. Users are informed about the expected operational lifespan of their machinery prior to the need for maintenance. Moreover, the platform facilitates the analysis of thousands of assets, offering clear and continuous updates on which machines require intervention. In addition to minimizing machine downtime, Senseye empowers industrial companies to enhance their operational efficiency and overall productivity. Thus, through its innovative approach, Senseye PdM not only optimizes maintenance strategies but also supports long-term asset management goals.

Media

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Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

HEAP Engineering GmbH

Date Founded

2019

Company Location

Austria

Company Website

hopit.at/en/manufacturing.html

Company Facts

Organization Name

Senseye

Date Founded

2014

Company Location

United Kingdom

Company Website

senseye.io

Categories and Features

OEE

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

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

OEE

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

Preventive Maintenance

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

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