AI for Parts & BOM Management
Obsolescence management keeps EOL parts from stalling production. Learn lifecycle tracking, redesign risk control, and proactive mitigation tactics.
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7 min read
Michelle Ben-David
Michelle Ben-David is a mechanical engineer and Technion graduate. She served in an IDF elite technology and intelligence unit, where she developed multidisciplinary systems integrating mechanics, electronics, and advanced algorithms. Her engineering background spans robotics, medical devices, and automotive systems.
BOTTOM LINE
Obsolescence is not a rare accident. It is a predictable consequence of long lived products built from shorter lived parts, and the gap is widening across mechanical and electronic content alike. The teams that stay out of trouble are the ones that track lifecycle status continuously, rank parts by criticality, and treat redesign as the last option on a ladder rather than the first reflex.
The most effective move is to shift work upstream. Clean bills of materials, disciplined part reuse, multi sourced components, and design margin all shrink the obsolescence surface before a single notice arrives. When the data already in your PDM and PLM is easy to search at the point of decision, an end of life part becomes a managed event rather than a stalled production line.
A purchase order bounces back with a single line: this part is no longer available. The bracket, the connector, the cast housing, or the bearing that your assembly has depended on for years is gone, and so is the supplier who made it. Now a release that was ready to ship is frozen while someone scrambles to find a substitute, requalify it, and update the drawings.
This is the daily reality of component obsolescence. The international standard IEC 62402:2019 describes obsolescence as the transition of a required item, still in use, from available to unavailable from its manufacturer. It is not only a semiconductor problem. Machined parts, fasteners, seals, motors, and purchased subassemblies all reach end of life when a vendor exits a market, a material is restricted, or a tool wears out and is never replaced.
Obsolescence management is the discipline of seeing these events coming and resolving them before they stop a line. Done well, it is quiet and unglamorous work that almost no one notices, precisely because nothing breaks. Done poorly, it shows up as expedited freight charges, idle assembly stations, and frantic last minute searches for a substitute that may or may not fit. This article covers why the problem is growing, how to track part lifecycles, how to weigh redesign risk, and how to mitigate proactively rather than reactively across both mechanical and electronic content.
Why Obsolescence Is Getting Harder to Outrun
Product lifecycles are shrinking faster than the equipment they go into. Sourceability lifecycle data shows that average lifespans for advanced electronic components have fallen toward a two to five year range, while many legacy parts once stayed in production for ten to thirty years. A machine, vehicle, or medical device designed to serve for a decade or more will therefore outlive several generations of the components inside it.
Mechanical content faces its own pressures. Foundries consolidate, specialty alloys get reclassified under environmental rules, and a low volume custom casting can quietly disappear when its only supplier retires the pattern. Because mechanical parts are often single sourced and tied to a specific tool or fixture, the loss of one vendor can be as disruptive as a chip going end of life. A bearing or a gasket with no second source is just as capable of stopping a build as any microcontroller.
The cost of ignoring the trend is well documented. The United States Department of Defense maintains the SD-22 guidebook for managing Diminishing Manufacturing Sources and Material Shortages, the program area that formalizes obsolescence response. Its case records include situations where a single obsolete part triggered a redesign quoted in the millions of dollars. Treating obsolescence as a surprise, rather than a forecast, is what makes it expensive. The first step is simply knowing what you have and how exposed each part is, a problem that often starts with finding the parts you already own.
IN PRACTICE
The connection to our PDM and using that as a data source is legit the best thing ever. I found three viable bracket options fitting my exact envelope constraints, in minutes, not days.
Eytan S., R&D Engineer
Lifecycle and EOL Tracking That Actually Holds Up
You cannot manage obsolescence you cannot see. IEC 62402 frames obsolescence management as a continuous activity across an item's full life cycle, not a one time audit. In practice that means assigning every part a lifecycle status and monitoring for change. A workable tracking program rests on a few foundations.
A clean, deduplicated bill of materials so that the same physical part is not hiding under three different numbers, each tracked separately or not at all.
A lifecycle status field for every component, from active to not recommended for new designs to last time buy to obsolete.
A defined trigger for product change notices and product discontinuance notices, so a supplier alert reaches the responsible engineer rather than dying in an inbox.
A criticality ranking that flags single sourced, long lead, or safety relevant parts for closer watch.
A periodic health check that revisits status on a fixed cadence instead of waiting for a failed order.
The hard part is keeping this current at scale. A program with thousands of active part numbers cannot rely on memory, and a status field that no one updates is worse than none because it breeds false confidence. Disciplined bill of materials management turns a static spreadsheet into a living record that reflects what is actually buildable today.
Weighing Redesign Risk Before You Commit
When a part goes end of life, the response is not automatic. The DoD SD-22 guidebook organizes resolutions into a ladder of options that runs roughly from least disruptive to most. Reusing existing stock or making an extended buy, sometimes called a bridge buy, keeps production running on the original design. Finding an approved alternate or a new source avoids touching the design at all. Only when those fail do you move to design refreshment or a full redesign of the item.
Redesign sits at the costly end of that ladder for good reason. Changing a mechanical part can shift its envelope, mass, fit, fastening, or load path, and each change can ripple into mating parts, fixtures, and inspection plans. In regulated fields the change may force requalification, retest, or a new first article inspection under a standard such as AS9102. The right question is not only whether a replacement exists, but how far its effects propagate through the rest of the assembly.
This is where an AI design review that catches errors before manufacturing earns its place. Surfacing interface mismatches, tolerance conflicts, and downstream dependencies early keeps a forced substitution from becoming a quiet source of field failures. The goal is to choose the cheapest resolution that genuinely fits, not the one that looks cheapest on the purchase order.
Proactive Mitigation Beats Reactive Firefighting
The most effective obsolescence work happens before a part is ever in trouble, much of it during design. IEC 62402 explicitly calls for strategies that minimize obsolescence at the design stage, and the field practices that follow are well established.
Prefer parts that are multi sourced or have documented cross references, so the loss of one vendor does not halt a build.
Favor standard, widely available components over bespoke ones whenever the application allows it.
Reuse already qualified parts instead of introducing new numbers that each carry their own lifecycle risk.
Build supplier relationships that deliver early end of life notice, giving you time for a last time buy or an orderly alternate search.
Design with margin and modularity so a future substitution can drop in without a cascade of changes.
Part reuse deserves special emphasis because it attacks two problems at once. Every duplicate part number that creeps into your catalog is another item to track, another candidate to go obsolete, and another chance to qualify something you already had. As the analysis of the real cost of duplicate parts shows, controlling proliferation shrinks the obsolescence surface you have to defend in the first place.
How Leo Surfaces Obsolete Parts and Qualified Replacements
Most of the data needed to manage obsolescence already lives in your PDM and PLM systems. The problem is that it is hard to reach at the moment of decision, when an engineer is selecting a part for a new design or hunting a replacement for one that just went end of life. Leo is an intelligence layer that sits on top of those systems and makes that buried history searchable.
When an engineer runs a geometry aware reuse search, Leo looks across the parts you have already designed and qualified and returns candidates that fit the envelope and intent. In doing so it can surface where a duplicate or a known obsolete part is about to be reused, and point toward an active, qualified alternative instead. That turns part selection into an obsolescence check, catching exposure before it enters a new assembly rather than after a purchase order fails. Because Leo reads from your existing records, integrations are available for SolidWorks PDM, Autodesk Vault, PTC Windchill, Siemens Teamcenter, and Arena PLM, and it adds search and review on top without replacing the system of record. For teams comparing options, our look at AI for part search in PDM covers how this works in practice.
FAQ
Catch obsolete parts before they ship
See how Leo turns part selection into an obsolescence check
Leo connects to your PDM and PLM and surfaces obsolete or duplicate parts during reuse search, suggesting qualified replacements before they reach a new design.
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