Ratings and Reviews 0 Ratings
Ratings and Reviews 0 Ratings
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What is VT-APS?
Introducing the VT-APS intelligent scheduling system, which leverages a state-of-the-art multi-objective optimization engine powered by advanced artificial intelligence algorithms, addressing the gap in domestic APS technology that has previously relied on imported solutions. This proprietary technology positions our products at the forefront of the industry, ensuring they maintain a competitive edge. VT-APS serves as a vital asset for manufacturing firms, enabling them to achieve optimized production planning. This innovation signifies a transformation in enterprise APS, making it more applicable than ever before. The system encompasses 40 distinct scheduling objectives across 13 categories, allowing customers to tailor their scheduling goals to align perfectly with their specific requirements. By providing such flexibility, VT-APS empowers businesses to enhance their operational efficiency and adaptability in a rapidly changing market.
What is Ailytic Advanced Scheduler?
The Ailytic AI Scheduler simplifies the complex tasks involved in creating, adjusting, and sharing production schedules. It effectively models and manages a variety of operational constraints to ensure that the generated schedules are in sync with actual conditions. Users have the ability to consider factors such as shift patterns, resource availability, machine efficiency, scheduled maintenance, seasonal fluctuations, and other essential elements for precise capacity assessments throughout the facility. The system supports the import, validation, error checking, and analysis of production orders, dry goods, inventory levels, machinery statuses, maintenance plans, and outages from various sources, including ERP, MES, SCADA, Historian, Sensors, and Custom Data. Additionally, it provides dynamic visualization tools that can be adjusted for different time frames, enabling users to identify conflicts and uncover potential opportunities within the schedule while facilitating workload balancing for Master Production Scheduling. This all-encompassing methodology not only boosts operational efficiency but also significantly enhances overall productivity by providing a clearer view of the production landscape. By leveraging these advanced features, organizations can make more informed decisions that drive better outcomes.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Negotiable
Negotiable
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour 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
Shanghai Qingkun Intelligent Technology Co., Ltd.
Date Founded
2020
Company Location
China
Company Website
www.qingkunai.com
Company Facts
Organization Name
Ailytic
Date Founded
2016
Company Location
Australia
Company Website
www.ailytic.com/advanced-scheduler
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
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