Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Introducing the inaugural OEE reporting system that utilizes a dollar-based framework, enabling instantaneous computation and documentation of all OEE metrics. This innovative approach transforms all manufacturing losses into monetary values, allowing for effective integration and prioritization of losses, ensuring that plant teams consistently concentrate on the most valuable opportunities. Additionally, it offers real-time product costing insights, categorized by both process and product. This solution can be deployed independently or enhance current plant applications. It is versatile enough to be implemented at a single plant or throughout an entire enterprise, with capabilities for replication and aggregation across various sites to a central enterprise server, fostering a comprehensive understanding of operational efficiency. Such a system not only streamlines reporting but also empowers decision-makers with actionable insights to drive continuous improvement.
Description
Hopit Manufacturing offers real-time software solutions for tracking Overall Equipment Effectiveness (OEE), monitoring downtime, and overseeing production specifically designed for small to medium-sized manufacturing enterprises. This software delivers immediate insights into the operational status of machines, current orders, and critical production metrics including availability, performance, quality, and OEE. Downtime occurrences are automatically recorded and can be supplemented with specific reason codes to help pinpoint persistent losses and areas for enhancement. Additionally, machine and production data can be seamlessly gathered through hopit Edge from various sources such as PLCs, CNC controllers, and other industrial devices utilizing protocols like Siemens SINUMERIK, Siemens S7, Beckhoff ADS/TwinCAT, OPC UA, Modbus, and MQTT. By establishing a dependable foundation of production data, the platform supports a range of functions including reporting, analytics, and applications powered by artificial intelligence, ultimately enhancing manufacturing efficiency and decision-making. Furthermore, this robust system enables manufacturers to proactively address issues and optimize their operations for greater productivity.
API Access
Has API
No
API Access
Has API
Yes
Integrations
AWS IoT Core
No
Azure IoT Hub
No
HiveMQ
No
Thingsboard
No
Integrations
AWS IoT Core
Yes
Azure IoT Hub
Yes
HiveMQ
Yes
Thingsboard
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
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
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
HAGEN & Company
Founded
1990
Country
United Kingdom
Website
www.hagenco.com/true-opportunity.html
Vendor Details
Company Name
HEAP Engineering GmbH
Founded
2019
Country
Austria
Website
hopit.at/en/manufacturing.html
Product Features
Manufacturing Execution
Document Management
No
Forecasting
No
Quality Control
No
Quote Management
No
Resource Management
No
Supplier Management
No
Supply Chain Management
No
Traceability
No
OEE
Benchmarking
No
Cost Tracking
No
Downtime Tracking
No
Historical Reporting
No
Performance Metrics
No
Quality Control
No
Real Time Reporting
No
Root Cause Analysis
No
Trend Analysis
No
Work Order Management
No
Product Features
OEE
Benchmarking
No
Cost Tracking
No
Downtime Tracking
Yes
Historical Reporting
Yes
Performance Metrics
Yes
Quality Control
No
Real Time Reporting
Yes
Root Cause Analysis
Yes
Trend Analysis
Yes
Work Order Management
No