You open the CMMS. Critical breakdown on a packaging line. The system says a spare module is available in the storeroom. You send the technician. He comes back twenty minutes later, holding the box.
The module is there. Mechanically, it fits. But the firmware version is incompatible with the current PLC configuration. The original module was replaced during a controls upgrade three years ago. Nobody updated the spare parts list.
The line is down. The part on the shelf is useless. And the one you actually need was discontinued eighteen months ago.
This is not a rare event. In most industrial plants, spare parts management and obsolescence management are two separate processes, run by different people, using different data, reporting to different managers. The storeroom reflects what the machine looked like at commissioning, not what it looks like today. And nobody is responsible for closing the gap.
Spare parts lists are created during commissioning or as part of the initial maintenance setup. They are based on the OEM's recommended spare parts list, sometimes supplemented by the experience of the maintenance team. At that moment, the list is accurate. Every part on it matches the installed configuration and is available on the market.
Then time passes.
The machine undergoes modifications. A drive is replaced with a newer model during a planned upgrade. An HMI panel is swapped because the original developed screen defects and the exact replacement was no longer available. A sensor is substituted with a compatible alternative because the lead time on the original exceeded the shutdown window.
Each of these changes is handled individually, often under time pressure, often documented in the work order but not propagated back to the spare parts list. After five years, the gap between the list and the installed base is significant. After ten years, it can be critical.
At the same time, the market moves. OEMs discontinue product lines, issue product change notifications, announce last-time-buy windows. Distributors adjust their catalogues. New firmware versions make older hardware incompatible. None of this information flows automatically into the spare parts management process. It lands in procurement inboxes, in distributor newsletters, in OEM portals that nobody in maintenance checks regularly.
The result: the storeroom holds parts that may no longer match the machine, may no longer be available on the market, and may no longer function after years of storage. But the CMMS still shows them as "available."
The part is on the shelf. The CMMS confirms availability. But nobody has verified whether the part still matches the current machine configuration. After a controls upgrade, a software migration, or even a firmware update on a networked device, the spare may be physically identical but functionally incompatible. This is particularly common with PLC modules, communication cards, and HMI panels where hardware and software versioning are tightly coupled.
Some organisations respond to end-of-life announcements by purchasing large quantities of the affected component. This is a valid strategy, but only if the quantity is based on a realistic consumption model. How many failures are expected over the remaining life of the machine? What is the planned decommissioning date? What is the failure rate trend? Without this analysis, the organisation either buys too few (and faces the same problem later) or too many (and ties up capital in parts it will never use, some of which may degrade before they are needed).
The OEM or distributor offers an alternative. It is listed as "compatible." But compatible in what sense? Does it have the same mounting dimensions? The same electrical interface? The same communication protocol? Does it require a firmware update on the controller? Does it need a new configuration file? Does the substitution affect the safety function of the system?
In practice, "compatible replacement" often means "will work after additional engineering effort." That effort is rarely quantified in advance. When the failure occurs at 2 AM on a Saturday, the maintenance team discovers that the replacement requires a laptop with specific software, a configuration file that nobody can locate, and a commissioning procedure that takes four hours.
Some do. Many do not. And even when they do, the notification may arrive as a PDF attachment to a procurement contact who does not know which machines use that component. The information has to travel from the OEM, through procurement or the distributor, to the person who manages the spare parts list, to the person who decides what action to take. In most organisations, that chain does not exist as a defined process. The notification gets filed or forwarded without action.
Product Change Notifications (PCNs) and End-of-Life (EOL) announcements are the OEM's way of transferring risk. Once the notice is issued, the responsibility shifts to the customer. If the customer's organisation is not structured to receive, interpret, and act on that information, the notice is meaningless.
This was true when the part was in active production and available from multiple distributors with a two-week lead time. It stops being true when the manufacturer reduces production volumes, consolidates distribution, or exits the product line entirely. Lead times that were two weeks become eight weeks, then sixteen, then "call for availability." By the time the maintenance team discovers this, they are already in a reactive situation.
Low-cost components with long lead times are particularly dangerous because they fly under the radar of any capital expenditure review. Nobody builds a business case for a 50-euro relay module. But when that module is the only thing standing between production and a six-week wait for a discontinued part, the cost of the downtime dwarfs the cost of proactive management.
A spare parts review that accounts for obsolescence is not a stock count. It is a structured comparison of three data sets: the installed base (what is actually in the machine today), the storeroom inventory (what is on the shelf), and the market status (what is still available, under what conditions).
The review should cover, at minimum, the following for each critical spare:
The frequency of this review depends on the criticality of the equipment. For business-critical production lines, an annual review is the minimum. For less critical assets, a biennial cycle may be sufficient, provided that any OEM notifications received in the interim are actioned immediately.
The last-time-buy (LTB) is the single most consequential decision in spare parts management for ageing equipment. It is the point at which the organisation commits to a quantity that must last for the remaining operational life of the machine, or accepts the risk that it will run out.
Getting this right requires four inputs: the expected remaining life of the machine (not the depreciation schedule, the actual planned operational horizon), the historical failure rate and trend for the component, the number of installed units across the plant, and the availability (or lack) of a qualified alternative.
The calculation is straightforward. The difficulty is organisational. The maintenance team knows the failure rate. The asset management or operations team knows the planned machine life. Finance controls the budget. Engineering can assess alternatives. The LTB decision requires input from all four, and in most plants there is no forum where these four perspectives meet for a spare parts decision.
This is why LTB decisions are often made too late (after the buy window closes), with insufficient data (based on gut feeling rather than consumption analysis), or not at all (because nobody owned the decision).
When a last-time-buy budget is not approved, the decision must still be documented. The organisation is choosing to accept the risk that the part will become unavailable before the machine is decommissioned.
That risk acceptance should be explicit, signed, and visible in the asset risk register. Not as a punishment mechanism, but as a management tool that makes the cost of inaction visible for future planning cycles.
Industrial spare parts are not inert objects. Electronic assemblies contain components that degrade over time regardless of whether they are in service or in storage.
Electrolytic capacitors lose capacitance and develop increased equivalent series resistance (ESR) as the electrolyte dries out. The rate depends on temperature, but even in a controlled environment, a ten-year-old capacitor may be out of specification. Lithium backup batteries for PLC memory and real-time clocks have a finite shelf life, typically five to ten years. If the battery is dead when the module is installed, the PLC may lose its programme on first power cycle. Rubber seals, O-rings, and gaskets in pneumatic and hydraulic components harden, crack, or lose elasticity over time. Thermal paste and interface pads dry out, reducing heat dissipation performance.
None of this is exotic knowledge. It is basic materials science. Yet very few spare parts management systems track shelf life for electronic and electromechanical components. The assumption is that a new, boxed part is a good part, regardless of how long it has been boxed.
For critical spares with long storage periods, a periodic functional verification or at minimum a visual and electrical inspection should be part of the storeroom management process. For components with known shelf life limitations (batteries, capacitors, seals), replacement on a calendar basis is more cost-effective than discovering the failure at the moment of installation.
Your spare parts strategy is your obsolescence strategy. Not in theory, in practice. The decisions you make about what to stock, how much to stock, when to review, and who acts on lifecycle information determine whether an obsolescence event becomes a managed transition or an emergency.
Most plants do not need a new system or a major programme to improve this. They need three things: a defined process that connects OEM lifecycle information to the spare parts review cycle, a periodic review of critical spares against installed configuration and market availability, and an organisational path for the last-time-buy decision that brings maintenance, engineering, asset management, and finance to the same table.
The storeroom is already telling you something about your obsolescence exposure. The question is whether anyone is listening.
Operivo supports industrial organisations in building practical obsolescence management capabilities, from spare parts lifecycle reviews and criticality-based audits to training programmes for maintenance and engineering teams. If your organisation is managing ageing equipment and wants to move from reactive to structured obsolescence management, contact us at europe@operivo.com.
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