Food processing involves ensuring equipment maintenance meets safety standards while keeping up with growth. New approaches like predictive maintenance can evolve your factory maintenance processes along with the changing needs of your business.
If you have anything to do with the food industry, you know today’s evolving consumer demands have fueled production faster than ever before. As food manufacturers attempt to meet that demand, standards such as the FDA’s Current Good Manufacturing Practices (cGMP) regulations have made food safety, product quality and food processing plant maintenance into stringent efforts. These aren’t the only food quality maintenance pressures in place. Studies show that equipment age at most food processing plants exceeds 20 years. With aging machinery and strict food safety standards, it’s clear that food processing equipment maintenance is more important than ever—the question is how to embrace it to compete in today’s competitive marketplace.
There’s more to maintenance in the food processing industry than just keeping the machines running. It also touches other critical areas such as food safety, product consistency, sanitation readiness, temperature control, and regulatory compliance documentation. With predictive maintenance, food processors can spot equipment issues sooner, reduce unplanned downtime, protect the flow of production and support safety and quality-critical processes. Â
Why food processing equipment requires specialized maintenance
Food processing equipment operates under different conditions and expectations than most other kinds of industrial machinery. Much of this is due to the sanitary concerns that come with producing food and beverages and the risks they represent. The following table outlines some of the biggest challenges that come with food processing equipment and how they impact maintenance operations: Â
Food processing challenge | Maintenance impact |
Frequent sanitation cycles | Components, seals and sensors may wear faster |
Washdown environments | Electrical systems and bearings need protection |
Temperature-sensitive products | Refrigeration and heating systems must remain reliable |
Packaging line complexity | Sensors, motors and conveyors must stay aligned |
Food safety requirements | Equipment condition and documentation matter |
High-volume production | Unplanned downtime can create major output loss |
Aging equipment | Parts availability and failure risk become harder to manage |
Preventive maintenance built for today
Unfortunately, many food processing equipment programs fall short of the desired prevention-based approach to food processing maintenance, instead focusing on reacting when equipment fails. And while reactive maintenance has its place in some instances, this run-to-failure strategy is ultimately costly and short-sighted in pursuit of keeping your food processing plant and machinery running efficiently and effectively.
Preventative Maintenance (PM), on the other hand, requires inspection, diagnostics, service and parts replacement according to timely and well-planned schedules. This works especially well in food manufacturing, where multiple processing lines are coupled with intermittent packaging/filling lines. As such, natural opportunities arise for effective PM on freed-up lines. There can be some drawbacks, however. For example, your staff may wind up servicing equipment that isn’t worn out or is in idle use. Meanwhile, technicians can become too distracted with preventative efforts to address urgent equipment failures.
As important as preventive maintenance is for food processing operations, it cannot be the only proactive maintenance strategy employed for critical equipment. For example, the condition-based insights provided by predictive maintenance sensors can help teams make better decisions. This is especially important for assets for which failure would affect food production, safety, or sanitation schedules. Â
Predictive maintenance planning for tomorrow
The latest evolution that improves on the drawbacks of preventative maintenance is Predictive Maintenance (PdM). PdM is a condition-based approach to machine reliability that identifies, measures, and earmarks factory equipment for maintenance before a failure occurs. This is accomplished through a range of innovative diagnostic and sensing technologies including ultrasound detectors, thermography and vibration analysis, among others.
Predictive maintenance is extremely effective at anticipating failures and minimizing downtime—essential in today’s fast-paced and strictly-regulated food processing environment. The digital nature of PdM means problems are addressed in various ways. Bluetooth connectivity, for example, allows technicians to monitor equipment in real-time, in order to head off issues before they impact either production or adherence to food manufacturing standards. Best of all, in addition to the positive impact on food quality and safety, food processing facilities that implement a predictive maintenance program for food processing equipment repair quickly experience other valuable efficiencies—and even better reliability engineering—as a result.
Here are some of the most common types of predictive maintenance methods and how they fit into a food processing environment:Â
Predictive maintenance method | What it can detect | Food processing use case |
Vibration analysis | Bearing wear, imbalance, misalignment | Motors, conveyors, pumps, fans, and gearboxes |
Thermal imaging | Overheating and electrical issues | Motors, panels, refrigeration, and heating systems |
Ultrasound | Air leaks, friction and lubrication issues | Compressed air systems, bearings and valves |
Motor current monitoring | Overload or abnormal resistance | Conveyors, mixers, pumps, and packaging equipment |
Oil analysis | Lubricant contamination or wear particles | Gearboxes, compressors and pumps |
Pressure / flow monitoring | Process instability or restrictions | Pumps, valves, CIP systems, and process lines |
Machine health monitoring | Asset condition trends | Critical production and packaging equipment |
Food processing equipment that benefits from predictive maintenance
Predictive maintenance can be highly effective for improving food processing equipment availability, so long as it’s properly applied. Food processors should prioritize predictive maintenance for assets where failure would create the greatest production, safety, sanitation, spoilage or quality risk, as illustrated here:Â
Equipment type | Why PdM helps |
Conveyors | Prevents line stoppages from motors, belts, bearings, and rollers |
Mixers and agitators | Detects motor, gearbox, bearing or alignment issues |
Pumps and valves | Helps detect process flow issues, leaks, pressure changes, and wear |
Filling and capping equipment | Reduces jams, misalignment and packaging interruptions |
Packaging machines | Protects throughput and shipment schedules |
Refrigeration systems | Helps reduce product temperature and spoilage risk |
Compressors | Supports plant utilities and pneumatic equipment |
Ovens and cookers | Helps maintain process consistency and uptime |
Freezers and chillers | Supports temperature-sensitive production |
Gearboxes and motors | Detects wear before failure affects production |
Metal detection or inspection systems | Supports quality and food safety-critical controls |
Joining the maintenance revolution
Shifting your food processing equipment maintenance approach to predictive maintenance is not as daunting as it may seem. If you’ve already implemented some kind of preventative maintenance program, many of the same disciplines apply; in fact, if your plant is currently following a PM regimen, combining PM and PdM can often achieve the best results. It’s just a matter of determining the right mix of disciplines for your unique manufacturing situation.
For reference, here’s what a typical implementation process should look like when undertaking a maintenance improvement program in a food processing facility:
1. Identify critical equipment.Â
2. Review downtime, quality and failure history.Â
3. Determine which failure modes can be monitored.Â
4. Choose monitoring methods.Â
5. Establish baselines and alert thresholds.Â
6. Define alert ownership and response workflows.Â
7. Align spare parts with critical assets.Â
8. Coordinate maintenance with sanitation and production schedules.Â
9. Track KPIs and refine the program.Â
To learn more about how you might begin to adopt a PdM program for food processing plant maintenance at your food processing company, download our whitepaper here or contact us today to speak to one of our factory maintenance consultants.
