Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Eyelit MES is a manufacturing execution system built to digitize production, improve factory visibility, and support complex manufacturing operations. The platform helps manufacturers plan, execute, and optimize operations across the factory while supporting Industry 4.0 initiatives. Eyelit MES connects production workflows, data capture, quality processes, labor, equipment, inventory, materials, and compliance into one scalable execution platform. Its process definition tools allow teams to configure complex manufacturing flows with parallel and conditional logic through a graphical interface without coding. Advanced Planning and Scheduling helps create realistic production schedules using constraints such as labor, machines, materials, logistics, business priorities, and soft constraints. Paperless production capabilities include electronic work lists, digital work instructions, live dashboards, alerts, and real-time production status visibility. Asset performance management supports OEE tracking, downtime analysis, machine data acquisition, tool management, maintenance activities, and bottleneck identification. Quality and compliance features include SPC, non-conformance management, CAPA, document management, track-and-trace, validated change control, electronic signatures, electronic records, and blockchain-supported electronic controlled history records. By combining MES, MOM, APS, paperless production, compliance management, labor tracking, inventory traceability, asset performance, and analytics, Eyelit MES helps manufacturers improve productivity, quality, visibility, and operational control.
Description
Modern manufacturing firms understand that merely gathering data from the factory floor is insufficient for maintaining a competitive edge. In addition to tracking labor hours, there is an increasing demand for immediate insights and solutions. User-friendly information "tools" empower management to enhance scheduling, eliminate production bottlenecks, reduce waste, decrease downtime, and optimize both machine efficiency (OEE) and labor resources. This innovative functionality is encapsulated in the FACTIVITY MES MODULES, a suite of software "tools" designed to refine production processes, cut costs, and boost on-time delivery rates. FACTIVITY’s Shop Floor Data Collection Software (SFDC) stands out as one of the most user-friendly MES Manufacturing Execution System software options available, being both easy to install and intuitive to operate. From the outset, it has been crafted specifically for touch screens, featuring a proprietary operator push button user interface (UI) that ensures an exceptional user experience on the factory floor. Ultimately, this blend of technology and usability allows manufacturers to gain a significant advantage in today's fast-paced market.
API Access
Has API
API Access
Has API
Integrations
Eyelit
Eyelit SIOP
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Eyelit Technologies
Founded
1997
Country
United States
Website
www.mestec.net
Vendor Details
Company Name
Factivity
Country
United States
Website
www.factivity.com
Product Features
Manufacturing Execution
Document Management
Forecasting
Quality Control
Quote Management
Resource Management
Supplier Management
Supply Chain Management
Traceability
Product Features
Manufacturing Execution
Document Management
Forecasting
Quality Control
Quote Management
Resource Management
Supplier Management
Supply Chain Management
Traceability