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What is MangoGem APS Optimizer?

MangoGem developed the MangoGem APS Optimizer to enhance planning and scheduling processes. This innovative tool aims to surpass existing APS systems, making optimization easier and more accessible for businesses of any scale. By utilizing a distinctive blend of mathematical optimization techniques, heuristics, and cutting-edge technologies such as artificial intelligence, it stands out in the market. With the MangoGem APS Optimizer, organizations can achieve significant improvements in performance, boost efficiency, and lower operational costs. It offers advanced scheduling optimization that exceeds the capabilities of traditional APS systems. Additionally, this robust Advanced Planning and Scheduling System features a versatile scheduling optimizer that can adapt to various organizational needs.

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

Media

Media

Integrations Supported

Microsoft Dynamics 365
SAP ERP
SQL Server

Integrations Supported

API Availability

API Availability

Has API

Pricing Information

€1000 per month
Free Trial Offered?

Pricing Information

Contact us for additional details.

Supported Platforms

Windows
Mac
On-Prem
Linux

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

MangoGem S.A.

Date Founded

2002

Company Location

Belgium

Company Website

www.mangogem.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

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

Construction Scheduling

Gantt Charts
Job Scheduling
Project Scheduling
Rescheduling
Task Management

Production Scheduling

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

Scheduling

Alerts/Notifications
Automated Scheduling
Employee Scheduling
Multi-Location
Real-time Scheduling
Resource Scheduling

Supply Chain Planning

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

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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