Spare parts management: time for change at UR

A spare parts warehouse is a key safeguard for a plant. However, it’s worth considering how this area is managed. The “more parts, the greater the safety” model is no longer working. Rising costs, pressure on machine availability, and increased process complexity all require a more conscious approach to spare parts management. How does this impact response times, failure rates, production, and plant performance?

Why is the old parts management model no longer working?

For years, the prevailing approach in this context was based on excess inventory. This strategy involves purchasing parts “just in case,” with their value assessed primarily in terms of availability. However, this generates costs. Moreover, these costs remain invisible for a long time. Capital tied up in inventory, the risk of obsolete components, and the challenges of inventory accounting can significantly burden an organization. This necessitates a different approach today.

In addition, the maintenance environment itself is changing. Machines are becoming increasingly automated, and a single component can determine the efficiency of an entire line. A sensor, inverter, or control module failure is no longer a minor issue. What does this mean? In practice, this translates into the need for faster diagnostics, better planning, and more precise adjustment of inventory to actual risk. A large parts warehouse alone doesn’t solve the problem—these parts must be properly selected and managed.

Spare parts as part of the strategy

In modern plants, spare parts warehouses are no longer just passive collections of resources. A shift in approach to maintenance means this area functions more as a risk management tool. Equipment selection should be based on determining the function of individual parts in maintaining process continuity. What’s this all about? For example, a bearing for a high-speed device is treated differently than specialized components designed for a specific machine – both inventory requirements and delivery lead times differ.

Criticality classification is crucial in this approach. Not every part needs to be readily available. However, all parts should have a defined role in the maintenance plan. From a business perspective, three questions become crucial:

• What is the cost of downtime?
• What is the probability of failure?
• How long does it take to obtain a given component?

Only by combining this data can a reasonable level of safety be established. Such a strategy requires discipline, but it offers a real advantage. What is it? Primarily, fewer haphazard decisions, fewer stressful purchases, and greater predictability. All of this, in turn, provides greater certainty in the execution of maintenance tasks.

Data-driven parts management

Reliable spare parts management shouldn’t rely on intuition and gut feeling. Data-driven analysis is far more valuable. What information should you consider? This includes failure history, metrics like MTBF, delivery times, production seasonality, and actual component wear and tear.

Only then can you determine which items are critical, what should be ordered in advance, and what can only be purchased after a need is reported. This also means additional requirements, including the need to organize indexes, standardize naming, and eliminate duplicates. In many warehouses, the same item is listed under multiple names or in different locations. The result? While some items exist and are in stock, it’s sometimes difficult to determine their exact location and availability—which in turn leads to further disruptions and delays.

This is where digitalization plays a crucial role. When it comes to parts management, one of the most useful solutions is a CMMS. This type of software not only supports the recording of faults and orders but also helps organize knowledge about parts, their location, wear, and connection to specific machines. A well-implemented CMMS allows for shorter search times, fewer errors, and better purchasing planning. We invite you to explore the functionality of QRmaint’s CMMS – our platform allows maintenance and warehouse management to operate as a single, cohesive process.

Clutter-free parts warehouse

Inventory inventory itself is only one part of the organization. Determining exactly what’s in stock, how many parts are needed, and whether a given part is still usable is also crucial. A spare parts warehouse should operate according to clear rules, assigning locations, catalog numbers, issue history, minimum thresholds, and responsibility for replenishment. It’s also worth remembering that not every part should be placed in a single, shared pool. Fast-moving items are managed differently, infrequently used parts differently, and components with long delivery times and high unit prices are managed differently still. What else? Best practices also include inventory reviews, analysis of overdue items, and verification of decommissioned parts. This ensures the warehouse can consistently fulfill its function, without haphazard decisions.

Document flow is also crucial from a financial and organizational perspective. If parts release is not linked to a work order, it’s difficult to later assess what’s actually causing wear and tear and which failures are most costly. Without this knowledge, however, it’s impossible to effectively improve maintenance.

From reaction to prevention

Often, the biggest changes in spare parts management aren’t just about purchasing more or less inventory. Purchasing intentionality is more important here. As with maintenance itself, a preventative approach offers greater value than a reactive approach. In reactive management, parts are ordered only when a machine stops working. In preventive inventory management, inventory, maintenance schedules, and technical diagnostics are closely intertwined. This means that spare parts aren’t just a temporary solution for breakdowns, but are instead a component of a planned maintenance strategy.

This is crucial in plants where production line availability is directly linked to on-time customer deliveries. Why? Every unplanned downtime triggers a domino effect – delays, overtime, logistical pressures, and ultimately, a loss of customer trust. Therefore, maintenance should be combined with a total cost analysis, rather than focusing solely on the purchase price of a single component.

An effective approach to spare parts management in UR

Modern spare parts management requires collaboration between maintenance, purchasing, warehousing, and finance. Therefore, transparent processes, up-to-date data, and clear decision-making principles are essential. Companies seeking to reduce downtime while simultaneously better controlling costs are increasingly investing in digital maintenance support. CMMS platforms address this real problem by providing real data that facilitates parts availability management.