Eyelit APS
4.5 out of 5 starsRatings and Reviews 0 Ratings
Ratings and Reviews 2 Ratings
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What is Eyelit APS?
The Eyelit Technologies solution suite, Eyelit SIOP, Eyelit APS, Eyelit MES, and Agent EyeQ, are delivered on a single data platform. Eyelit APS is advanced planning and scheduling software that runs on the same data model as Eyelit MES, so real-time WIP, downtime, and shop-floor changes feed updated schedules back to execution.
Eyelit APS performs multi-zone production sequencing — for example Body, Paint, and Trim — optimized holistically in a single run, and models re-entrant flows, merges, splits, buffers, and differing line speeds across zones. Eyelit APS replans with memory: when demand or supply changes, it minimizes disruption to the existing schedule, with the degree of allowed change configurable at any level or attribute.
Eyelit APS provides a wide range of constraint types to model any company's business rules, including feature-combination limits, dynamic spacing, run-lengths on sub-
sequences, sequence-dependent setup times, and inventory simulation during sequencing. Eyelit APS delivers Available-to-Promise and Capable-to-Promise in both batch and real-time modes, with the real-time module connecting to the order management system.
Features
● Eyelit APS performs multi-zone production sequencing — for example Body, Paint, and Trim — optimized holistically in a single run, and models re-entrant flows, merges, splits, buffers, and differing line speeds across zones.
● Eyelit APS provides a wide range of constraint types to model any company's business rules, including feature-combination limits, dynamic spacing, run-lengths on sub-sequences, sequence-dependent setup times, and inventory simulation during sequencing.
● Eyelit APS uses attribute-based changeover matrices with additive or maximum setup policies and per-resource setup times.
● Eyelit APS schedules complex batch resources — ovens, autoclaves, furnaces, stamping, and injection molding — with capacity in one, two, or three dimensions, temperature-profile and material grouping rule
Integrations Supported
Acumatica Cloud ERP
DELMIAworks
Epicor Eagle
Infor CloudSuite ERP
Infor M3
JobBOSS²
M1
Microsoft Dynamics 365
NetSuite
Oracle Fusion Cloud ERP
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
Contact us for additional details.
Supported Platforms
SaaS
Supported Platforms
SaaS
Windows
Mac
Chromebook
Linux
Customer Service / Support
Standard 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
LillyWorks
Date Founded
2014
Company Location
United States
Company Website
www.lillyworks.com
Company Facts
Organization Name
Eyelit Technologies
Date Founded
1997
Company Location
United States
Company Website
eyelit.com/advanced-planning-and-scheduling/
Categories and Features
APS
Not specified
Capacity Planning
Not specified
Manufacturing
Accounting Integration
ERP
MES
MRP
Maintenance Management
Purchase Order Management
Quotes/Estimates
Reporting/Analytics
Shipping Management
Manufacturing Execution
Document Management
Forecasting
Quality Control
Quote Management
Resource Management
Supplier Management
Supply Chain Management
Traceability
Production Scheduling
"What If" Scenarios
Automated Scheduling
Bottleneck Optimization
Capacity Planning
Constraint Scheduling
Job Scheduling
Material Planning
Priority-Based Scheduling
Shop Floor Management
Not specified
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
Manufacturing Inventory Management
Not specified
Production Scheduling
"What If" Scenarios
Automated Scheduling
Bottleneck Optimization
Capacity Planning
Constraint Scheduling
Job Scheduling
Material Planning
Priority-Based Scheduling
Quality Control