From lights-out to always on

Manufacturers today are under intense pressure to increase productivity while managing rising operational costs and persistent labour shortages. Automation and robotics are increasingly seen as the solution, enabling facilities to operate continuously with minimal human intervention.

However, the shift toward automated production also increases the consequences of equipment failure. Research across the manufacturing sector suggests that downtime can cost organisations up to £1.36 million per hour in some industries, highlighting just how expensive unexpected interruptions can be.

When production lines operate continuously, even a brief mechanical failure can disrupt supply chains, delay deliveries and reduce overall operational efficiency. For companies investing heavily in automation technologies, maintaining uptime is essential to protecting both productivity and return on investment.

Predictive maintenance in manufacturing

To address these risks, many organisations are adopting predictive maintenance strategies. Unlike reactive maintenance, which addresses failures after they occur, predictive maintenance uses data and monitoring technologies to identify potential problems before they lead to downtime.

By monitoring equipment performance through sensors and condition monitoring tools, engineers can detect subtle changes that indicate wear or malfunction. This allows maintenance teams to intervene before a component fails, helping organisations avoid costly production stoppages.

Key benefits of predictive maintenance include:

• Reduced unplanned downtime
• Lower long-term maintenance costs
• Extended equipment lifespan
• Improved production reliability
• More efficient use of maintenance resources.

As manufacturers push towards fully autonomous operations, predictive maintenance is becoming an essential part of industrial reliability strategies.

Motion control systems: the backbone of automated production
While predictive maintenance often focuses on software analytics and monitoring platforms, the physical reliability of machine components remains equally important.

At the centre of most automated manufacturing systems are motion control components such as motors, actuators and drive systems. These components enable robotic movement, conveyor operation, precision assembly and many other automated processes.

In lights-out manufacturing environments, these systems may operate continuously for extended periods with little or no human supervision. As a result, motion components must be capable of handling:

• Continuous duty cycles
• Frequent start-stop operations
• Variable loads and operating speeds
• Harsh industrial environments

If a critical motion component fails, the entire automated process can grind to a halt.

Designing motion systems for longevity and reliability

For predictive maintenance to work effectively, motion control systems must be designed with durability and reliability in mind from the outset.

High-quality motors and drive systems offer consistent performance over long operational lifetimes, making it easier for monitoring systems to detect genuine anomalies before failures occur.

Key factors that influence motion system reliability include:

Robust engineering design - Components built for demanding industrial environments can withstand heavy workloads and prolonged operation.

Stable performance characteristics - Consistent torque, speed and thermal behaviour enable predictive maintenance systems to accurately identify abnormal conditions.

Integration with monitoring technologies - Modern motion components that work seamlessly with sensors and condition monitoring systems support more effective predictive maintenance strategies.

By prioritising these factors during the design stage, manufacturers can significantly reduce the likelihood of unexpected machine failures.

Automation is increasing the pressure on maintenance strategies

Several industry trends are accelerating the adoption of predictive maintenance.

Manufacturers are dealing with ongoing labour shortages, making it more difficult to rely on traditional inspection-based maintenance routines. At the same time, rising energy and operational costs are forcing organisations to maximise production efficiency and minimise downtime.

Automation and lights-out manufacturing offer a path toward higher productivity, but they also require machines to operate reliably for longer periods with minimal oversight.

This makes proactive maintenance strategies essential. Predictive maintenance allows organisations to anticipate equipment failures and schedule maintenance at the most convenient time, avoiding unexpected disruptions to production.

Building reliable automated systems

Ultimately, the success of predictive maintenance strategies depends on the reliability of the equipment being monitored.

Advanced analytics platforms can detect anomalies and predict potential failures, but they cannot compensate for poorly designed mechanical components. Durable and high-quality motion systems provide the stable performance foundation needed for predictive monitoring technologies to work effectively.

Working with experienced suppliers that understand the demands of industrial automation can help manufacturers choose motion control components designed for long operational lifetimes and consistent performance.

Reliability remains the foundation of lights-out manufacturing

As manufacturers continue their shift toward autonomous production, predictive maintenance will play a growing role in protecting productivity and profitability.

However, achieving reliable lights-out manufacturing requires more than sophisticated software and analytics. It also depends on robust, dependable motion control systems capable of supporting continuous automated operation.

By combining predictive maintenance strategies with high-quality motion components, manufacturers can significantly reduce downtime risks and ensure their automated production systems deliver long-term value.

Dave Walsha is sales and marketing director at Electro Mechanical Systems (EMS)

www.ems-limited.co.uk