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What is Siemens Opcenter APS?

The manufacturing sector is experiencing a remarkable evolution driven by digital advancements, pushing businesses to quickly and intelligently respond to unexpected changes while also managing shorter lead times and meeting customer demands effectively. This challenge is not limited to large enterprises; smaller and medium-sized businesses are similarly impacted. In response to these issues, Siemens has introduced Opcenter APS (formerly recognized as Preactor APS), utilizing advanced algorithms to synchronize demand with production capacity, thereby creating realistic production schedules. These solutions are adaptable for various planning horizons, encompassing long-term strategic planning that may last months or years, as well as medium-term tactical planning that covers several weeks, in addition to managing complex sequencing and scheduling requirements. Notably, Siemens Opcenter APS is ready for prompt deployment and can be customized according to specific needs, operating independently for planning and scheduling purposes while being able to integrate seamlessly with other software systems to boost overall operational effectiveness. This flexibility ensures that manufacturers can maintain competitiveness in an increasingly digital marketplace.

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.

Media

Media

Integrations Supported

3DViewStation
Advantech WebAccess/CNC
Arterys
Braincube
COMSOL Multiphysics
Check Point Infinity
FSG Smart Buildings
HPE Industrial IoT
IBM Cloud Mass Data Migration
IBM Cloud Pak for Integration
ICONICS IoT
Imperva WAF
K-Display View
Omnio
Oracle Big Data Discovery
PowerTerm InterConnect
Siemens Opcenter
Telit secureWISE

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Siemens

Date Founded

1847

Company Location

Germany

Company Website

www.plm.automation.siemens.com/global/en/products/manufacturing-operations-center/preactor-aps.html

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

Production Scheduling

Constraint Scheduling

Categories and Features

APS

Automated Scheduling
Constraint Management

Production Scheduling

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

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