Industrial networks have transformed automation. They allow machines and devices to talk to each other, boosting production speed, volume, and efficiency. But with this progress comes a hidden cost: complexity. One network glitch can bring the entire line to a halt, causing hours of lost output.
Figure 1. Industrial networks improve efficiency but increase troubleshooting challenges.
Globally, downtime already costs industries an estimated $50 billion per year—and rising [1]. Just one hour of downtime now costs at least 50% more than it did two years ago. Without strong troubleshooting practices, downtime drags on, compounding losses. The good news? There are proven ways to prevent it.
Table 2. Downtime costs increase as troubleshooting complexity grows.
References
¹ IndustryWeek, “Unlocking performance,” Emerson, accessed September 26, 2022.
² Senseye Industry Insights: The true cost of downtime
Five Strategies to Cut Downtime
Downtime isn't inevitable. With the right mix of proactive maintenance, smart tools, and skilled people, companies can prevent problems before they happen—or resolve them quickly when they do. Here are five proven strategies that significantly reduce downtime and keep production running smoothly.
1. Monitor continuously—spot issues before they hit
Real-time monitoring tools give you constant visibility into your network. With customizable dashboards and alarms, you'll know about problems before they stop production. Engineers can act fast, either preventing downtime entirely or cutting its duration to a minimum.
2. Segment your network—don't let one fault crash the system
Legacy fieldbus networks often expand with a daisy-chain setup. The problem? If one device fails, the whole chain can go down. Segmenting the network isolates faults, protects uptime, and makes troubleshooting faster and easier.
3. Keep critical spares on hand
Hardware failures happen and they're the number one cause of network communication issues. Stock essential spares like connectors, cables, and hubs. Skimping on quality parts may save upfront, but failures cost far more when the line is down.
4. Use AI to troubleshoot faster
Traditional troubleshooting demands years of expertise across multiple protocols. AI tools trained on industrial data can pinpoint root causes instantly. This reduces reliance on a handful of veteran field engineers and cuts both repair time and costs.
5. Train your people—close the knowledge gap
Even the best hardware and software fall short without skilled staff. Certified training gives engineers hands-on experience to design, install, maintain, and troubleshoot networks effectively. A trained team boosts uptime and ensures long-term resilience.
Why reducing downtime matters
Cutting downtime isn't just about saving hours. It also:
- Boosts performance: less wasted production time.
- Supports sustainability: lower energy use, less spoilage, fewer rejects.
- Protects workers: remote monitoring reduces exposure to hazardous areas.
On average, companies that adopt proactive maintenance reduce downtime to around 2 hours per month—a major improvement compared to the figures presented in Table 1.
Efficiency in Troubleshooting: Reactive vs. Proactive Approaches
When it comes to troubleshooting, the difference between a reactive and a proactive approach is dramatic.
With a reactive approach, problems are only addressed once production stops. Engineers must travel to the site, collect data, diagnose the issue, and implement a fix before operations can resume. If the fault is intermittent, it may not even appear during the inspection—forcing teams to wait for the problem to reoccur before it can be resolved. This not only prolongs downtime but also frustrates both staff and customers.
By contrast, a proactive approach with permanent monitoring removes blind spots. Real-time tools provide alerts for both critical and non-critical issues, giving companies the chance to plan maintenance activities in advance. This enables engineers to pinpoint and fix root causes quickly, avoiding unexpected shutdowns and keeping production on track.
Improving Performance and Sustainability
Minimizing downtime improves more than just productivity. Reduced interruptions also translate into:
- Lower energy consumption by avoiding wasteful stop-and-start cycles.
- Less spoilage and rejects, since production doesn't need lengthy restarts.
- Reduced CO₂ emissions and costs, especially in energy-intensive industries like steel or glass, where large furnaces require days to regain optimal operating conditions after a shutdown.
In short, less downtime means not only greater efficiency but also a leaner, more sustainable operation.
Enhanced Worker Safety with Remote Monitoring
Permanent monitoring also boosts workplace safety. With remote access to network data, engineers no longer need to enter unpleasant or hazardous environments just to check system status. This reduces risk, speeds up diagnostics, and frees teams to focus on higher-value tasks. The result: safer employees, smoother operations, and higher overall efficiency.
How Anybus Atlas2 Plus can help
Meet Anybus Atlas2 Plus: the next-gen OT network monitoring solution that keeps downtime from disrupting your business.
Designed for multi-protocol environments, Anybus Atlas2 Plus delivers 24/7 visibility, predictive diagnostics, and intuitive visualizations that make even the most complex industrial networks easy to understand and manage.
By simplifying troubleshooting and empowering teams of all skill levels, it enables proactive maintenance and ensures reliable uptime across PROFINET, EtherNet/IP, and beyond.
The key assets of Anybus Atlas2 Plus:
- Permanent monitoring tools: real-time insights for Fieldbus and Industrial Ethernet networks.
- Network segmentation solutions: isolate faults before they spread.
- SNAP AI software: analyze your network instantly, find root causes fast.
- Diagnostic Academy Training: build in-house expertise with certified programs.
With the right mix of tools, spares, and trained staff, you can turn downtime into uptime—and keep production moving.