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Description
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 Rather than relying on static spreadsheets that fall out of date the moment conditions change, Eyelit APS uses AI and patented optimization algorithms to generate real-time schedules that reflect what's actually happening on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, so schedules are built on current, accurate information about orders, materials, labor, and equipment.
Eyelit APS supports complex constraint handling, so schedules account for real limitations — machine capacity, tooling changeovers, labor availability, material lead times — without requiring planners to manually work around them. Dynamic resource allocation adjusts assignments as conditions shift, and built-in scenario analysis lets teams model the impact of a rush order, supply delay, or downed machine before committing to a plan.
This combination allows manufacturers to respond swiftly when demand or supply conditions change, rather than scrambling to manually rebuild schedules under pressure, keeping the planning process aligned with the realities of modern production.
By optimizing how production is sequenced and resourced, Eyelit APS enhances throughput, reduces lead times, and improves on-time delivery for manufacturers looking to get more from existing capacity.
Description
Acquire the exact capacity you require precisely when it’s needed. By leveraging on-demand labor, you minimize unnecessary expenditures and can swiftly adjust to changes in demand. Our approach prioritizes responsiveness and adaptability in a changing environment. Through our Labor Intelligence tool and on-demand labor framework, you can create a dynamic extension of your workforce to effectively manage daily demand variations. This strategy transcends merely filling vacancies; it focuses on maximizing operational efficiency regardless of challenges that arise. Our process begins with onboarding you to the platform, coupled with ongoing support as you implement on-demand labor solutions. You'll receive regular updates highlighting the value generated and identifying opportunities to optimize your use of our tool. If you seek more tailored advice, our consulting team, equipped with decades of hands-on operational expertise, is ready to further enhance your success. Ultimately, we aim to empower your organization to thrive in any situation that may come its way.
API Access
Has API
Yes
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
Contact us for additional details.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Eyelit Technologies
Founded
1997
Country
United States
Website
eyelit.com/advanced-planning-and-scheduling/
Vendor Details
Company Name
Veryable
Founded
2016
Country
United States
Website
www.veryableops.com/on-demand-labor
Product Features
APS
Automated Scheduling
Yes
Capacity Planning
Yes
Change Management
Yes
Constraint Management
Yes
Demand Planning
Yes
KPIs
Yes
MRP
Yes
Order Management
Yes
Production Scheduling
Yes
Quality Management
Yes
What-if Analysis
Yes
Production Scheduling
"What If" Scenarios
Yes
Automated Scheduling
Yes
Bottleneck Optimization
Yes
Capacity Planning
Yes
Constraint Scheduling
Yes
Job Scheduling
Yes
Material Planning
Yes
Priority-Based Scheduling
Yes
Quality Control
Yes
