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Where the factory floor hits the fast lane

System-wide process control in real time

Leverage smart-hardware sensors (e.g., IoT) to automatically regulate and manage processes to optimal efficiency.

Automated in-line optical inspection

Replace end-product manual inspections with high-resolution images captured in the production line to detect and flag defects using AI/ML.

Condition-based monitoring

Detect process aberrations and plan intervention remotely.

Predictive maintenance

Deploy AI/ML to intelligently detect when equipment is likely to fail, enabling proactive intervention.

Guided workflows using augmented or virtual reality

Build virtualized learning experiences and enable remote field intervention from a central site.

System-wide process control in real time

Leverage smart-hardware sensors (e.g., IoT) to automatically regulate and manage processes to optimal efficiency.

Automated in-line optical inspection

Replace end-product manual inspections with high-resolution images captured in the production line to detect and flag defects using AI/ML.

Condition-based monitoring

Detect process aberrations and plan intervention remotely.

Predictive maintenance

Deploy AI/ML to intelligently detect when equipment is likely to fail, enabling proactive intervention.

Guided workflows using augmented or virtual reality

Build virtualized learning experiences and enable remote field intervention from a central site.

System-wide process control in real time

Leverage smart-hardware sensors (e.g., IoT) to automatically regulate and manage processes to optimal efficiency.

Automated in-line optical inspection

Replace end-product manual inspections with high-resolution images captured in the production line to detect and flag defects using AI/ML.

Condition-based monitoring

Detect process aberrations and plan intervention remotely.

Predictive maintenance

Deploy AI/ML to intelligently detect when equipment is likely to fail, enabling proactive intervention.

Guided workflows using augmented or virtual reality

Build virtualized learning experiences and enable remote field intervention from a central site.

Choose a solution above to explore further – including a detailed use case, reference architecture and solution stack.

Real-time process control

Equipment sensor data is analyzed to adjust process inefficiencies in real time.

VIEW USE CASE
Closeup on lens connected to factory scanner.

Mechanical and electrical signals continuously streamed from high-precision IoT sensors, communicating process data, environmental data, and other data sources.

Finger pointing to graph on monitor screen.

Data sent to edge solution to perform advanced analytics and keep optimal values for process control variables.

Closeup of machines on a factory production line.

Operational system receives optimized process control variables, adjusting parameters in real time to maximize yield and product quality.

Closeup of a server stack.

Portion of sensor data and results of analyses sent to public cloud to enable continuous learning of AI/ML algorithms.

Potential benefits

3-5%

yield improvement1

15-25%

product quality improvement1

The solution stack for real‑time control

Lumen, supplemented by service and technology leaders like Cognizant and Lantech, provides the edge infrastructure you need to improve production yield and quality. See how it all comes together in the full solution stack.

VIEW SOLUTIONS

Reference architecture for real‑time process control

Based on edge best practices in the manufacturing industry, Lumen maintains reference architecture outlining specific technologies to deliver your edge infrastructure needs and help you drive production to the edge of efficiency.

VIEW ARCHITECTURE
Reference architecture for cloud computing in manufacturing.

1McKinsey expert manufacturing interviews, January 2022.

How automated in-line optical inspection works

High-resolution photos captured during production are utilized by AI/ML to detect and flag defects.

VIEW USE CASE

Cameras continuously take images of in-process inventory. 

Looking down hallway lined on both sides with server stacks.

Images sent to edge servers for parametrization and AI/ML analysis to identify quality defects.

Person in hardhat viewing monitor.

Results of analysis displayed on-site, where operator can remove defectives or stop production.

Multicolored points of light.

Quality data periodically transmitted to public cloud for model training

Potential benefits

5-10%

increase in throughput based on reduced cycle time1

20-30%

reduction of process rework1

The solution stack for optimized inspection

Lumen, supplemented by service and technology leaders like DXC and Cognex, provides the edge infrastructure you need to increase throughput and reduce rework. See how it all comes together in the full solution stack.

VIEW SOLUTIONS

Reference architecture for in-line optical inspection

Based on edge best practices in the manufacturing industry, Lumen maintains reference architecture outlining specific technologies to deliver your edge infrastructure needs, reduce rework and help you drive production to the edge of quality.

VIEW ARCHITECTURE

1McKinsey expert manufacturing interviews, January 2022.

How condition-based monitoring works

Equipment sensor data is analyzed in real time to monitor conditions and plan interventions remotely.

VIEW USE CASE
Hand adjusting sensor.

Sensors (e.g., temperature, pressure, vibration) on equipment continuously stream measurement samples.

Screenshot of graph and chart.

Sensor data analyzed in real time for anomalous conditions that could lead to equipment failure.

Person in viewing an industrial machine.

Equipment status continuously updated and made available to local and remote maintenance staff.

Person using tablet in front of industrial machine.

Conditions requiring intervention immediately detected and appropriate staff notified.

Potential benefits

75-90%

reduction in unplanned downtime1

60-80%

improvement in % of orders fulfilled1

The solution stack for maintaining ideal conditions

Lumen, supplemented by service and technology leaders like IBM and Nvidia, provides the edge infrastructure you need to reduce unplanned downtime and improve fulfillment. See how it all comes together in the full solution stack.

VIEW SOLUTIONS

Reference architecture for condition-based monitoring

Based on edge best practices in the manufacturing industry, Lumen maintains reference architecture outlining specific technologies to deliver your edge infrastructure needs, keep orders on track and help you drive production to the edge of efficiency.

VIEW ARCHITECTURE
Reference architecture for cloud computing in manufacturing.

1McKinsey expert manufacturing interviews, January 2022.

How predictive maintenance works

Sensor data is analyzed in the cloud to update maintenance schedules and prevent equipment failure.

VIEW USE CASE
Products on a production line.

Plant equipment such as motors and pumps with external or OEM sensors (e.g., heat, vibration) transmit data to on-premises edge cloud solution. 

Person holding phone receiver next to two computer terminals.

On-premises edge cloud solution collects, normalizes and analyzes data from connected assets.

Person on the factory floor next to monitory displaying graphs.

Factory employees are sent an updated maintenance schedule optimized to prevent machine failures.

Open server bay in a server room hallway.

Plant equipment data is periodically sent to the public cloud to improve predictive ML models and analytics.

Potential benefits

10-30%

reduction in repair costs1

8-10%

reduction in MRO parts kept in inventory1

The solution stack for proactive prevention

Lumen, supplemented by service and technology leaders like Accenture and Keyence, provides the edge infrastructure you need to reduce repair costs and parts kept in inventory. See how it all comes together in the full solution stack.

VIEW SOLUTIONS

Reference architecture for predictive maintenance

Based on edge best practices in the manufacturing industry, Lumen maintains reference architecture outlining specific technologies to deliver your edge infrastructure needs, maintain efficient equipment and help you drive production to the edge of performance.

VIEW ARCHITECTURE
Reference architecture for cloud computing in manufacturing.

1McKinsey expert manufacturing interviews, January 2022.

Guided operator workflows

AR/VR allows an off-site expert operator to see what an on-site operator sees and manage accordingly.

VIEW USE CASE
Person with eye and ear protection toughing an industrial machine.

Handsfree headset captures and streams video showing what operator sees in real time.

Closeup of 3D-rendered image of machine part.

Headset view may be supplemented with text instructions, CAD images or IoT sensor data using AR technology.

Bottles traveling on a production line.

Video streamed through edge infrastructure to remotely located equipment expert or senior operator.

Person wearing eye and ear protection touching industrial machine.

Remote expert provides instructions and support to on-site operator.

Potential benefits

60-80%

savings in annual operator FTE budget1

50-80%

improvement in new worker onboarding time1

The solution stack for enhanced operator control

Lumen, supplemented by service and technology leaders like IBM and HTC, provides the edge infrastructure you need to save on your operator budget and decrease onboarding time. See how it all comes together in the full solution stack.

VIEW SOLUTIONS

Reference architecture for guided operator workflows

Based on edge best practices in the manufacturing industry, Lumen maintains reference architecture outlining specific technologies to deliver your edge infrastructure needs, maximize your operators’ skills and help you drive production to the edge of precision.

VIEW ARCHITECTURE
Reference architecture for cloud computing in manufacturing.

1McKinsey expert manufacturing interviews, January 2022.

Try Lumen® Edge Bare Metal free for 90 days.* Contact an expert now at 855‑259‑5105.

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*For new service in eligible U.S. locations. Maximum $10,000 service value. Limitations apply. See below for details.

Explore Lumen® Edge Computing Solutions

Deployed on our high-capacity global fiber network with 60+ planned edge node metro locations designed for 5ms of latency or better—see how edge computing with Lumen can transform your production.

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*Offer limited to configurations, systems and server use requirements including maximum data volumes set out by Lumen and maximum service value of $10,000. Offer available to qualifying business customers for new service in eligible U.S. locations. Lumen may change, cancel, or substitute offers and services, or vary them by service area at its sole discretion without notice. Credit approval and deposit may be required. Offer may not be combined with other offers. Additional restrictions, terms and conditions apply.