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What is io.Performance?

io.Performance enhances the efficiency of gathering Overall Equipment Effectiveness (OEE) data across various production environments, encompassing batch operations, continuous manufacturing, and discrete production settings. It offers real-time insights into losses associated with availability, speed, and quality, enabling prompt analysis. Users can create customized reports to address even the most complex operational requirements. The web-based io.Performance platform ensures seamless access to role-specific functionalities throughout different departments and organizational tiers. It also produces standardized OEE reports that cater to both the entire organization and specific plants. Furthermore, production data is compiled and displayed to management in real-time, supporting informed decision-making and boosting operational efficiency. This holistic strategy not only aids organizations in optimizing their production capabilities but also fosters a culture of continuous improvement within their operations. By leveraging such tools, companies can adapt more quickly to changing market demands.

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.

Media

Media

Integrations Supported

AWS IoT Core
Azure IoT Hub
HiveMQ
SAP Business One
Thingsboard

Integrations Supported

AWS IoT Core
Azure IoT Hub
HiveMQ
SAP Business One
Thingsboard

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

eschbach

Date Founded

2005

Company Location

United States

Company Website

www.eschbachit.com

Company Facts

Organization Name

HEAP Engineering GmbH

Date Founded

2019

Company Location

Austria

Company Website

hopit.at/en/manufacturing.html

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

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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