Preventive and predictive maintenance in warehouses: the technical guide

Discover the impact of preventive and predictive maintenance in warehouses to ensure efficiency and compliance in the pharma and chemical supply chains.

The conceptual union of maintenance (manu tenere, “to take care of with your hand”) and prevention (praevenire, “to arrive first”) defines the mission of modern logistics: to anticipate critical issues before they impact operations.

In very critical supply chains (pharmaceuticals, APIs, pharmaceutical Starting Materials, cosmetics, food supplements, nutraceuticals and chemicals) the adoption of a structured preventive maintenance plan represents a fundamental guarantee of business continuity and product protection.

To optimize warehouse management, it is necessary to distinguish and integrate two very specific technological approaches.

There are some common elements and profound differences between preventive maintenance and predictive maintenance: their goal is to keep companies’ production plants in perfect efficiency, trying to anticipate failures (so they both differ from classic “corrective” maintenance, which aims to repair machinery after a breakdown).   

The two maintenance strategies are developed on different operational levels, while sharing the same final goal of avoiding malfunctions and sudden breakdowns of the plants, which could cause considerable damage to companies, such as prolonged production stoppages, slowdowns in deliveries, loss of customers and related turnover.

Preventive and predictive maintenance are distinguished by different operating modes: inspecting and checking systems at regular intervals in the first case, predicting the time remaining before a failure in the second.

Another difference between preventive and predictive maintenance is that the former takes place with a series of checks at fixed intervals and according to a calendar of maintenance and interventions, also taking into account the indications provided by the manufacturers of the various machines in order to prevent possible breakdowns.

On the contrary, predictive maintenance is not limited to prevention but aims to predict the future probability of a failure thanks to the use of 4.0 technologies.

The definition of 4.0 technologies embraces a large number of innovative devices and systems developed to support the digital transformation of corporate production activities.

1. Preventive maintenance in warehouses

Preventive maintenance is essentially based on machine inspections.

It involves scheduled inspections and interventions at fixed intervals to replace worn parts before a failure occurs.

Planning proper preventive maintenance in warehouses protects plants, handling systems and storage facilities by keeping the structure aligned with the best industry methodologies defined by reference bodies such as the Italian Maintenance Association (A.I.MAN).

2. Predictive maintenance in warehouses

It constitutes the most advanced level of plant digitalization.

Thanks to the integration of IoT sensors and data analysis algorithms, predictive maintenance in warehouses detects key parameters (such as abnormal vibrations or temperature changes) in real time, allowing just-in-time assistance to be scheduled before the failure occurs.

In high-value, highly regulated industries, a sudden shutdown of handling lines or storage systems risks damaging sensitive goods and disrupting the supply chain.

At Logistic Company, we integrate these maintenance standards into our GMP storage and GDP transport services to ensure maximum operational safety and eliminate unexpected plant downtime.