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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 Rather than relying on static spreadsheets that fall out of date the moment conditions change, Eyelit APS uses AI and patented optimization algorithms to generate real-time schedules that reflect what's actually happening on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
Today's manufacturing landscape is fiercely competitive and requires a strong focus on cost efficiency. Achieving both efficiency and cost-effectiveness hinges on the ability to be both lean and agile. To this end, organizations are increasingly turning to extended enterprise applications such as real-time production monitoring and finite capacity planning and scheduling, which have become essential. By integrating real-time monitoring of shop floor activities with a flexible production planning and scheduling tool, companies can enhance capacity utilization by 15% while simultaneously cutting work in progress inventories by 22%. These types of technological implementations can free up one-third of the total cash tied up in production and inventory. For instance, one of India's prominent leather goods exporters to the USA and Europe has adopted PlanIT for their production planning needs. With the capability to efficiently plan and organize work orders, the client is on track to establish 18 new factories and increase subcontracting facilities by 40%. Additionally, they have explored various potential scenarios using PlanIT, further enhancing their strategic planning capabilities. This comprehensive approach not only streamlines operations but also positions them favorably in the competitive market.
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Integrations
Experts IN CLP
Pricing Details
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Free Trial
Free Version
Pricing Details
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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
eyelit.com/advanced-planning-and-scheduling/
Vendor Details
Company Name
Peritus Solutions
Founded
2011
Country
India
Website
www.peritusglobal.com/inventix-planit.php
Product 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
Product Features
Production Scheduling
"What If" Scenarios
Automated Scheduling
Bottleneck Optimization
Capacity Planning
Constraint Scheduling
Job Scheduling
Material Planning
Priority-Based Scheduling
Quality Control