Manufacturing is becoming more connected and automated, generating huge amounts of operational data across the factory floor. But having more data does not always lead to better decisions. Digital twins help bridge this gap by creating virtual representations of physical assets or processes that continuously reflect real-world conditions. This gives manufacturers a better understanding of their operations and helps them identify issues earlier while finding opportunities to improve performance. In this article, we’ll explore five common manufacturing challenges that digital twins can help address and how the right edge computing technologies can support digital twin deployments.
5 Manufacturing Challenges Digital Twins Can Help Address
1. Limited Visibility Into Manufacturing Operations
Modern manufacturing environments often include equipment, sensors, controllers, cameras, and software systems from different vendors and generations. Each may generate valuable data, but that information can remain distributed across separate systems, making it difficult for operators to see the complete picture.
By bringing operational data into a virtual representation of an asset or process, manufacturers can gain greater visibility into what is happening on the factory floor. As real-world conditions change, the virtual model updates accordingly, helping teams better understand equipment status and production performance. This provides more context than looking at individual data points in isolation.
2. Unplanned Downtime and Reactive Maintenance
Unexpected equipment failures can interrupt production, increase maintenance costs, and affect overall productivity. Traditional maintenance strategies often rely on fixed service schedules or respond to problems only after equipment begins to fail.
By combining real-time and historical equipment data, digital twins can help manufacturers monitor asset health and identify changes in operating behavior. Temperature, vibration, power consumption, and other equipment data can be analyzed over time to detect abnormal patterns or early signs of degradation. This enables a shift toward more predictive and condition-based maintenance, allowing teams to address potential problems before they result in unexpected downtime.
3. Production and Process Inefficiencies
Optimizing a manufacturing process can be difficult when changes need to be tested directly on operating equipment. Adjusting machine settings, workflows, production sequences, or other parameters in a live environment may interrupt production or introduce additional risk.
Digital twins provide a virtual environment where manufacturers can analyze operating conditions and evaluate potential changes before applying them to the physical process. Teams can compare different scenarios, identify bottlenecks, and determine how adjustments may affect performance. This allows manufacturers to make process improvements with greater insight before making changes on the factory floor.
4. Quality Issues and Production Variability
Product quality can be influenced by many interconnected factors, including machine settings, equipment condition, environmental conditions, materials, and production parameters. When defects occur, identifying the underlying cause can be difficult, especially when information is distributed across multiple systems.
Connecting production conditions with operational and quality data gives manufacturers a clearer picture of how different factors affect production outcomes. Teams can uncover patterns behind defects or inconsistencies, helping them make more informed adjustments to improve product quality.
5. Growing Complexity Across Connected Manufacturing Systems
Factories are integrating more connected technologies, from industrial sensors and machine vision cameras to robotics, AI systems, and automated equipment. While these technologies create new opportunities for automation and intelligence, they also increase the complexity of managing and understanding the overall manufacturing environment.
Digital twins provide a common digital representation where information from different physical systems can be contextualized and analyzed together. This helps manufacturers better understand how individual assets and processes interact, making it easier to monitor complex operations and coordinate decisions across increasingly connected production environments.
How Premio Powers Digital Twins at the Edge
With over 35 years of experience in rugged edge computing, Premio develops solutions designed to meet the performance and reliability demands of real-world digital twin deployments. These solutions bring together the essential capabilities needed to connect, process, accelerate, and operate throughout the digital twin feedback loop.
CONNECT: Connect Physical Assets and Data Sources
Comprehensive I/O
Premio’s industrial edge computers and LLM edge AI servers provide comprehensive onboard I/O for connecting physical equipment to the digital twin environment. With support for COM, CAN, USB, LAN, and digital I/O, these systems can connect to a wide range of sensors and industrial devices while supporting the continuous flow of operational data.
For deployments with specific installation requirements, Premio also offers one-sided I/O edge computers, including select VCO and KCO Series systems. By placing key connections on one side, these designs simplify cable routing and system integration, particularly in space-constrained industrial environments.
Modular EDGEBoost I/O
When additional connectivity is required beyond onboard I/O, Premio EDGEBoost I/O (EBIO) provides a modular way to expand industrial computers according to deployment requirements. Users can mix and match EDGEBoost I/O modules alongside fixed onboard interfaces to add the connectivity, storage, acceleration, or management capabilities their digital twin applications require.
- LAN & PoE: Add RJ45 or M12 LAN/PoE ports for cameras, sensors, and networked devices, with 10GbE options for higher-bandwidth applications.
- USB & Serial: Add USB or COM ports to support additional industrial devices and peripherals.
- M.2 Expansion: Add 5G connectivity, NVMe storage, or AI acceleration based on application requirements.
EDGEBoost I/O can also add out-of-band (OOB) management to supported Premio industrial computers, providing a dedicated interface for remote monitoring and recovery.
Explore Premio EDGEBoost I/O modules >>
PROCESS: Process Operational Data at the Edge
Multiple Processor Architectures
Digital twin workloads can vary significantly in processing requirements, making it important to match computing performance and power consumption to the application. Premio offers computing solutions powered by Intel, AMD, and NVIDIA Jetson processors, providing options for a wide range of industrial edge workloads.
- Intel: From power-efficient Intel Atom processors to Intel Core, Core Ultra, and Xeon processors for more demanding edge workloads.
- AMD: Select Premio solutions support AMD Ryzen processors for high-performance multi-core computing.
- NVIDIA Jetson: Integrated CPU and GPU computing supports edge AI inference, computer vision, and other accelerated workloads.
Premio works closely with leading processor technology providers as an Intel Prestige Partner, NVIDIA Elite Partner, and AMD Embedded Partner. These partnerships support Premio’s ability to integrate current computing technologies across its industrial edge computing portfolio.
ACCELERATE: GPU-Accelerated Computing at the Edge
As digital twin workloads become more demanding, some applications require additional computing performance beyond CPU processing alone. Discrete GPUs provide parallel processing capabilities for workloads such as 3D visualization, simulation, AI inference, and computer vision, bringing high-performance acceleration directly to the edge.
Discrete GPU Acceleration
Premio offers industrial GPU computers and rugged edge AI workstations designed to support NVIDIA professional GPUs for demanding digital twin workloads.
- Latest NVIDIA GPU Architectures: Support for NVIDIA professional GPUs, including the latest RTX PRO Blackwell architecture.
- Flexible GPU Configurations: Options range from low-profile GPUs to full-height, full-length (FHFL) dual-slot GPUs for different performance requirements.
- Dual-GPU Support: Select Premio computers support up to two FHFL dual-slot GPUs for compute-intensive workloads.
- High GPU Power Budget: Select Premio GPU computers, including VCO-6000 and KCO-6000 Series systems, support up to a 600W GPU power budget for high-performance configurations.
These GPU options provide the acceleration needed for compute-intensive digital twin applications while keeping processing close to where operational data is generated.
OPERATE: Maintain Reliable Edge Operations
Keeping a digital twin running requires the edge computer supporting it to remain reliable in the physical environment where it is deployed. Premio combines rugged computing design with remote-management technologies to help maintain continuous operation across demanding and distributed edge environments.
Rugged Design
Premio industrial computers are designed to withstand the environmental and power conditions commonly encountered at the industrial edge. Rugged features help systems remain operational despite temperature changes, power fluctuations, shock, and vibration.
- Wide Operating Temperature: Operating temperature ranges reaching -20°C to 70°C for deployments exposed to extreme temperature conditions.
- Wide Power Input: 9–48VDC wide-range power input accommodates varying industrial power requirements.
- Shock & Vibration Resistance: Designed and tested to MIL-STD-810H standards for shock and vibration resistance in demanding industrial environments.
- Industrial Certifications: UL, CE, and FCC certifications support safety and compliance requirements for industrial deployments.
Explore Premio rugged edge computing solutions >>
Remote Management
For digital twin deployments across distributed or difficult-to-access locations, remote management helps keep edge computers connected, monitored, and recoverable while reducing the need for on-site service. Premio offers two remote-management approaches designed to support different operational requirements.
- Premio EDGEBoost OOB: Provides hardware-level out-of-band management that operates independently from the operating system. Through a web-based GUI, users can access remote power control, scheduled power ON/OFF, Device Always ON, power-status detection, and serial-console access, with critical recovery functions remaining accessible even when the operating system becomes unresponsive
- Allxon Remote Management: Combines in-band monitoring with out-of-band recovery for distributed edge deployments. Capabilities include device alerts, log collection, OTA updates, GPU monitoring, remote commands, screenshots, fleet provisioning, and OOB access for hardware-level recovery.
Together, these solutions support both hardware-level recovery and broader remote device management, helping maintain uptime across digital twin deployments.
Explore Premio remote management solutions >>
Building Smarter Manufacturing with Digital Twins
As manufacturing becomes more connected, digital twins can help turn operational data into meaningful insights. These insights give manufacturers a better understanding of their operations and help them improve performance. Bringing digital twins into real-world environments also requires a reliable computing foundation. Premio’s rugged edge computing solutions provide the performance and flexibility needed to support digital twin applications from concept to deployment. To learn more about Premio’s digital twin solutions, contact us at sales@premioinc.com.