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What is Opmed.ai?

Maximize the potential of your operating room by effectively utilizing resources and building resilience through the application of network science and artificial intelligence. Implement advanced optimization algorithms to improve operational efficiency, lower costs, and discover new revenue opportunities. Gain insight into the intricate dynamics within your operating room to enable more strategic resource distribution, reduce downtime, and enhance overall performance. Establish a dynamic scheduling system capable of adapting to unforeseen changes and interruptions, guaranteeing the consistent delivery of high-quality patient care. Integrate Opmed seamlessly into your existing operating room schedule, preserving your current workflows and systems for a smooth optimization process. Notably, there is no requirement for personal health or identification information, allowing you to tailor your operating room schedule to meet your unique needs. You have the flexibility to define your parameters and preferences, such as staff availability and equipment accessibility, creating a customized solution that aligns with your operational goals. This high degree of customization ensures optimal efficiency in your operating room, ultimately resulting in improved patient outcomes and satisfaction. Such advancements not only streamline processes but also empower healthcare teams to focus on delivering exceptional care.

What is Eyelit APS?

Eyelit APS is an advanced planning and scheduling solution that helps regulated discrete manufacturers turn plans into efficient, achievable production schedules. Rather than relying on static spreadsheets or planning tools that fall out of date the moment conditions change, Eyelit APS uses AI and patented optimization algorithms to generate real-time schedules that reflect what's actually happening on the shop floor. The platform integrates seamlessly with existing ERP and MES systems, giving planners and schedulers a single, unified view of operations instead of reconciling data across disconnected systems. This integration means schedules are built on current, accurate information about orders, materials, labor, and equipment availability. Eyelit APS supports complex constraint handling, so schedules account for the real limitations manufacturers face, machine capacity, tooling changeovers, labor availability, material lead times, and more, without requiring planners to manually work around them. Dynamic resource allocation lets the system adjust assignments as conditions shift, and built-in scenario analysis lets teams model the impact of a rush order, a supply delay, or a machine going down before committing to a plan.

Media

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

Contact us for additional details.
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

Opmed.ai

Company Location

United States

Company Website

www.opmed.ai/

Company Facts

Organization Name

Eyelit Technologies

Date Founded

1997

Company Location

United States

Company Website

eyelit.com/advanced-planning-and-scheduling/

Categories and Features

Categories and Features

APS

Automated Scheduling
Capacity Planning
Change Management
Constraint Management
Demand Planning
KPIs
MRP
Order Management
Production Scheduling
Quality Management
What-if Analysis

Production Scheduling

"What If" Scenarios
Automated Scheduling
Bottleneck Optimization
Capacity Planning
Constraint Scheduling
Job Scheduling
Material Planning
Priority-Based Scheduling
Quality Control

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