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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 DataLyzer OEE Coach?

In 1995, DataLyzer pioneered the introduction of a real-time Statistical Process Control (SPC) solution, while Arno Koch was the first to provide a real-time Overall Equipment Effectiveness (OEE) solution. Drawing on 25 years of expertise in OEE software, Arno Koch has developed an innovative version of OEE Coach. The collaboration between DataLyzer and Arno Koch has resulted in a robust, integrated solution that combines their respective technologies. This partnership offers an unparalleled integrated system for real-time SPC and OEE capabilities. The OEE Coach software serves as a dynamic real-time module for OEE monitoring, enabling users to log downtime either manually or automatically through sensors. Additionally, it supports OPC for seamless information retrieval from machinery. Users can also enhance their analyses by integrating a management information system with Inmation for more complex tasks. Notably, Inmation ensures that 100% of the data is retained and readily accessible at all times, providing users with a reliable foundation for decision-making. This collaboration not only enhances operational efficiency but also empowers businesses to harness data effectively for continuous improvement.

Media

Media

Integrations Supported

AWS IoT Core
Azure IoT Hub
HiveMQ
Thingsboard

Integrations Supported

AWS IoT Core
Azure IoT Hub
HiveMQ
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

HEAP Engineering GmbH

Date Founded

2019

Company Location

Austria

Company Website

hopit.at/en/manufacturing.html

Company Facts

Organization Name

DataLyzer International

Date Founded

1979

Company Location

United States

Company Website

oee.coach/

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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