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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 Rather than relying on static spreadsheets that fall out of date the moment conditions change, Eyelit APS uses AI and patented optimization algorithms to generate real-time schedules that reflect what's actually happening on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
A simulation module provides a comprehensive perspective on planning and scheduling, focusing on finite capacity to effectively manage both material and human resources while also identifying and eliminating bottlenecks. This sophisticated planning and scheduling software allows users to visualize, assess, and enhance production processes, thereby accelerating decision-making and fostering collaboration among teams. It serves as a distinctive tool for finite capacity planning and detailed scheduling within constraints, promoting simulated growth in a controlled manner. Designed for user-friendliness, it encourages team participation, enabling users to start with global data and progressively refine their focus to microdata. Users can create initial scenarios with minimal data and gradually increase complexity, achieving a reduction in lead time by up to 75%. The accompanying video illustrates the methodology for designing the factory within the tool and optimizing the layout for maximum efficiency. For those seeking further insights or wishing to learn how to effectively tackle cases using SIMOGGA, we highly recommend viewing our video tutorials, which provide a wealth of information and guidance. By engaging with these resources, users can unlock the full potential of the software and enhance their operational strategies.
API Access
Has API
API Access
Has API
Integrations
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Integrations
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Pricing Details
Contact us for additional details.
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
eyelit.com/advanced-planning-and-scheduling/
Vendor Details
Company Name
AMIA Systems
Founded
2014
Country
Belgium
Website
www.amia-systems.com/solutions/simogga-planner/
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
Manufacturing
Accounting Integration
ERP
MES
MRP
Maintenance Management
Purchase Order Management
Quality Management
Quotes/Estimates
Reporting/Analytics
Safety Management
Shipping Management
