Prescriptive Maintenance in Industry

If your industrial assets could anticipate failures before they occur and also suggest how to avoid them, wouldn’t it make sense to stop waiting for them to break down? That is exactly what prescriptive maintenance enables: transforming data into decisions and avoiding unplanned downtime with surgical precision. In this article we explain what prescriptive maintenance is, how it works in robotic environments, and why it makes a real difference compared to other traditional approaches.

What is prescriptive maintenance?

Prescriptive maintenance is an intelligent approach based on artificial intelligence, advanced data analytics, and IIoT technologies. It does not simply predict when a failure will occur (like predictive maintenance), but prescribes exactly what actions to take to prevent it.

It draws on data generated in real time by sensors connected to industrial assets—temperature, vibration, pressure, torque—which are analyzed using machine learning algorithms. These algorithms not only identify anomalous patterns, but directly suggest the necessary actions: from a minor adjustment to the planned replacement of a component.

In summary, prescriptive maintenance is the logical step in industrial evolution: detect, diagnose, and act before failure, based on evidence.

How does it work in robotic and automated environments?

Automated and robotic systems require operational continuity. An unplanned failure in a robotic arm, an AGV, or a PLC can trigger significant losses.

In these environments, prescriptive maintenance operates through:

• Smart sensors: installed in motors, gearboxes, actuators, or control systems.
• Analytics platforms: capable of interpreting data in real time.
• Digital twins: virtual representations of assets that simulate different operational scenarios.

A common example: a cobot that begins to show abnormal vibration in one of its axes. The system detects the pattern, identifies wear in a bearing, and prescribes its scheduled replacement during the next micro-stoppage, thus avoiding an unexpected process shutdown.

Comparison: prescriptive maintenance vs other types of maintenance

Choosing a maintenance strategy is not just a technical matter, but a decision that directly impacts the availability, costs, and performance of industrial assets. A comparison between the different types of maintenance, focusing on how prescriptive maintenance offers a differential advantage by anticipating failure and recommending specific actions, versus other more reactive or routine approaches.

Corrective maintenance

• Reaction to failure: only acts after it occurs.
• High cost: greater consumption of time and resources.
• Negative impact: unexpected interruptions and production loss.

Preventive maintenance

• Based on calendars or usage cycles.
• Blind interventions: there may be unnecessary inspections.
• Does not use condition data.

Predictive maintenance

• Uses condition monitoring: anticipates failures through trend analysis.
• Limited: predicts what and when, but does not prescribe what to do.

Prescriptive maintenance

• Diagnosis + recommendation: acts based on analysis of why.
• High efficiency: acts before the failure materializes.
• Optimized interventions: less unnecessary maintenance, greater availability.

Type of maintenance	When does it act?	Does it use data?	Does it prescribe actions?	Cost impact
Corrective	After failure	Up to 300	Up to 300	High
Preventive	According to calendar	Up to 300	Up to 300	50-100 kg
Predictive	Before failure	Up to 600	Up to 300	10-20 kg
Prescriptive	Well before failure	Up to 600	Up to 600	Minimal

P-F curve and its interpretation in prescriptive maintenance

The P-F curve (Point of Potential Failure – Point of Functional Failure) represents the interval between detecting a potential problem and its functional failure.

In predictive maintenance, action is taken upon detecting point P, but often with short time margins. Prescriptive maintenance extends that margin through cause-and-effect analysis, allowing intervention even before the problem progresses.

Example: a PLC detects a temperature increase in a frequency drive. The prescriptive system, instead of just alerting, analyzes the context: it identifies dust accumulation in the ventilation filter and suggests scheduled cleaning. This eliminates the root cause and prevents future overheating.

Technical requirements and challenges of prescriptive maintenance

Implementing prescriptive maintenance requires:

• Technological infrastructure: connected sensors, robust networks, analytics platforms.
• Systems integration: GMAO/CMMS with AI and machine learning platforms.
• Specialized training: technical personnel with skills in data analysis and digitalization.
• Operational culture change: from reaction to intelligent prevention.

Challenges:

• Initial investment in technology.
• Process adaptation.
• Organizational change management.

But the benefits—reduction of breakdowns, greater availability, data-driven decisions—more than compensate for this initial effort.

Prescriptive maintenance for your plant? Recommended steps

1. 1. Analyze your critical assets: identify machines whose failure means costly downtime.
2. 2. Assess technological maturity: do you have sensors? Can you capture data?
3. 3. Implement controlled pilots: on key automated lines.
4. 4. Choose a scalable platform: that allows predictive and prescriptive analysis.
5. 5. Train the technical team: transform maintenance personnel into operational analysts.
6. 6. Measure results: reduction of incidents, cost savings, increased availability.

Why consider prescriptive maintenance for your company?

Prescriptive maintenance is not just an incremental improvement. It is a profound transformation in how industrial asset health is managed. Leave guesswork behind and start making informed and precise decisions.

If your lines are robotic, automated, or depend on critical PLCs, now is the time to consider a prescriptive strategy. The first step? Listen to your assets. They are already speaking. Are you ready to listen?

Frequently asked questions about prescriptive maintenance

1. How do I know if my company needs to implement prescriptive maintenance?

If you have critical industrial equipment, costly downtime, or want to optimize your maintenance with data-driven decisions, prescriptive maintenance may be the ideal solution. It allows you to anticipate failures and act with precision.

2. How does prescriptive maintenance differ from preventive or predictive maintenance?

Preventive maintenance acts according to calendars, predictive maintenance detects possible failures before they occur, but prescriptive maintenance goes one step further: it not only anticipates failures, but also recommends exactly what to do to avoid them.

3. What technologies are needed to apply prescriptive maintenance?

Connected smart sensors (IoT), real-time data analytics platforms, artificial intelligence algorithms, and maintenance management systems (GMAO/CMMS) are needed to coordinate actions.

4. What advantages does prescriptive maintenance provide in industrial environments?

It improves equipment availability, reduces breakdowns and downtime, optimizes maintenance costs, and extends machinery lifespan. All with more efficient and planned intervention.

5. What type of machinery or processes can benefit most from this maintenance strategy?

Automated systems, complex production lines, industrial robots, conveyors, and all types of critical machinery that operates continuously or is exposed to high operational wear.

6. Is it essential to have maintenance management software (GMAO)?

Yes, to make the most of prescriptive maintenance it is essential to have a GMAO. This allows you to automate work orders, record interventions, and control the entire maintenance strategy centrally.

7. How can Bama Sistemas help me implement prescriptive maintenance?

At Bama Sistemas we accompany you from the analysis of your facilities to the installation of sensors, platform integration, personnel training, and commissioning. We design customized solutions to get the maximum performance from your equipment.