Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Layered Process Audits (LPA) serve as a specialized form of internal audits that emphasize the essential manufacturing processes. Various personnel within the organization, including senior management, can carry out these audits. Participants have the ability to establish different layers, determine the frequency and duration of audits, specify the number of auditors involved, decide if an approver is needed, and develop checklists outlining specific machines and production lines. Implementing LPA represents a significant cultural shift that highlights the importance of quality from executive offices down to the factory floor, with each layer reinforcing the significance of the activities occurring in each production area. The four fundamental components that make up LPA play a crucial role in this process. Through LPA, organizations can gain valuable insights by verifying compliance with established manufacturing and assembly protocols. Leadership engagement is assured as various management levels participate in quality audits carried out by operators. The frequency of these audits can vary depending on the management level involved, allowing for tailored oversight. Ultimately, LPA not only fosters ongoing improvements in quality but also contributes to a significant reduction in defect rates over time, enhancing the overall efficiency of manufacturing operations.
Description
Siemens Industrial Edge is a multi-purpose edge computing platform that helps manufacturers process industrial data closer to where production happens. It is designed to optimize factory operations by combining Siemens and partner technologies across hardware, software, apps, connectivity, and central device management. The platform makes it easier to connect shop floor assets, standardize data, and turn operational information into real-time insights. Industrial Edge supports scalable app and device management, allowing companies to roll out software across distributed factory environments with IT-like simplicity. It connects OT systems with cloud platforms, IIoT SaaS solutions, ERP, MES, SCADA, and MQTT environments to support stronger IT and OT convergence. Manufacturers can use it for OEE monitoring, production analytics, intelligent maintenance, predictive insights, and resource planning. The platform also supports software-defined automation through virtual PLC and HMI capabilities, helping companies move toward more flexible manufacturing systems. AI models can be deployed on the shop floor for defect detection, monitoring, process optimization, and throughput improvement. With secure infrastructure, ecosystem offerings, and centralized management, Siemens Industrial Edge helps industrial organizations reduce complexity while making faster and smarter operational decisions.
API Access
Has API
No
API Access
Has API
No
Integrations
MSIGHTS
No
Pricing Details
$8000
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Omnex Systems
Founded
1987
Country
United States
Website
www.omnexsystems.com/products/layered-process-audits-software
Vendor Details
Company Name
Siemens
Founded
1847
Country
Germany
Website
www.siemens.com/en-us/products/industrial-edge/
Product Features
Audit
Alerts / Notifications
No
Audit Planning
No
Compliance Management
No
Dashboard
No
Exceptions Management
No
Forms Management
No
Issue Management
No
Mobile Access
No
Multi-Year Planning
No
Risk Assessment
No
Workflow Management
No
Product Features
Industrial IoT
Condition Monitoring
No
Data Visualization
No
Factory Data Analytics
No
Machine Learning
No
Machine Workflow Creation
No
Predictive Maintenance
No
Production Line / Factory Insights
No
Real-Time Monitoring
No
Reporting / Analytics
No
Smart Alerts / Notifications
No
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No