# Component Obsolescence Risk Assessment: Score Your EOL Exposure > Source: https://netray.co/tools/component-obsolescence-risk-assessment > Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems. > Section: Free Tools ## Short answer Answer 10 questions to score how exposed your BOMs are to component EOL, DMSMS, and lifecycle blind spots, with graded recommendations. ## Category electronics ## Tool **Kind:** assessment **Questions:** #### How much visibility do you have into component lifecycle status across your active BOMs? **Options:** ##### Automated lifecycle monitoring across all active BOMs **Score:** 3 ##### Critical or long-lead components are tracked systematically **Score:** 2 ##### Checked ad hoc when someone thinks to look **Score:** 1 ##### No lifecycle visibility at all **Score:** 0 #### How do you typically learn that a component has gone end-of-life? **Options:** ##### Proactively via PCN/PDN feeds or a lifecycle data service **Score:** 3 ##### From distributor or rep notifications **Score:** 2 ##### When a purchase order is rejected or quoted with broker pricing **Score:** 1 ##### When production stops because the part cannot be sourced **Score:** 0 #### What share of your active BOMs contain at least one EOL or NRND part? **Help:** NRND means Not Recommended for New Designs. If you cannot answer, that itself is a risk signal. **Options:** ##### Under 5%, and we know exactly which ones **Score:** 3 ##### 5-15%, tracked with mitigation plans **Score:** 2 ##### 15-30%, partially tracked **Score:** 1 ##### Unknown, or over 30% **Score:** 0 #### Do you maintain qualified alternates or second sources for critical components? **Options:** ##### Qualified alternates on the AVL for most critical parts **Score:** 3 ##### Alternates identified for some critical parts **Score:** 2 ##### A few informal substitutions known to engineering **Score:** 1 ##### Single-sourced with no documented alternates **Score:** 0 #### How mature is your last-time-buy (LTB) process? **Help:** A good LTB decision models remaining demand, storage cost, and redesign cost against bridge-buy quantity. **Options:** ##### Formal LTB process with demand modeling and financial analysis **Score:** 3 ##### LTBs happen but sizing is judgment-based **Score:** 2 ##### Reactive buys after EOL notices, often rushed **Score:** 1 ##### No LTB process; we deal with shortages when they hit **Score:** 0 #### Is component lifecycle data integrated with your ERP item master? **Options:** ##### Lifecycle status syncs into ERP and drives MRP flags **Score:** 3 ##### Lifecycle data exists in a tool but is manually reconciled with ERP **Score:** 2 ##### Tracked in spreadsheets outside the ERP **Score:** 1 ##### Not tracked in any system **Score:** 0 #### Does your NPI process block or flag at-risk parts in new designs? **Options:** ##### NRND and EOL parts are blocked at design rule check **Score:** 3 ##### Flagged during design review, usually caught **Score:** 2 ##### Occasionally caught by a purchasing veteran **Score:** 1 ##### New designs regularly reuse at-risk parts **Score:** 0 #### How long must you support your products in the field? **Help:** Longer support horizons multiply obsolescence exposure, especially in aerospace and defense. **Options:** ##### Under 5 years **Score:** 3 ##### 5-10 years **Score:** 2 ##### 10-20 years **Score:** 1 ##### Over 20 years (defense, aerospace, infrastructure) **Score:** 0 #### What controls do you apply when buying from brokers or the gray market? **Options:** ##### Authorized sources only, or AS6081-compliant counterfeit controls **Score:** 3 ##### Approved broker list with inspection and testing on receipt **Score:** 2 ##### Brokers used under pressure with basic visual inspection **Score:** 1 ##### Anyone who has stock when the line is down **Score:** 0 #### Who owns obsolescence management in your organization? **Options:** ##### Named owner with budget, cadence, and executive reporting **Score:** 3 ##### Component engineering or purchasing owns it informally **Score:** 2 ##### Whoever hits the problem handles it **Score:** 1 ##### Nobody owns it **Score:** 0 **Bands:** #### High obsolescence exposure **Min:** 0 **Max:** 39 **Verdict:** Your organization is discovering EOL events after they become supply emergencies, which means broker premiums, line-down risk, and rushed redesigns are baked into your cost structure. In long-lifecycle markets this posture eventually produces a program-stopping event. **Recommendations:** - Run a one-time lifecycle scrub of every active BOM using a lifecycle data service and quantify EOL/NRND exposure - Assign a named obsolescence owner with a monthly review cadence and executive visibility - Stand up a minimum last-time-buy process: remaining demand estimate, bridge quantity, and sign-off - Stop new designs from adding risk: flag NRND parts in the approved parts list immediately - Establish an approved broker list with incoming inspection before the next emergency buy #### Partially managed risk **Min:** 40 **Max:** 69 **Verdict:** You catch many EOL events but through effort and tribal knowledge rather than systems, and coverage is uneven across BOMs. The gap between your tracked parts and your untracked parts is where the next line-down event is hiding. **Recommendations:** - Extend lifecycle monitoring from critical parts to all active BOMs, prioritized by revenue at risk - Integrate lifecycle status into the ERP item master so MRP and buyers see risk flags natively - Formalize LTB sizing with demand modeling instead of judgment buys - Qualify and document alternates for your top 50 single-sourced components - Add an obsolescence gate to NPI design reviews so new products launch clean #### Managed and proactive **Min:** 70 **Max:** 100 **Verdict:** You have systematic lifecycle visibility, ownership, and processes that catch most events before they become emergencies. Your remaining opportunity is optimization: better LTB economics, tighter ERP integration, and predictive rather than reactive monitoring. **Recommendations:** - Use AI-assisted forecasting to optimize LTB quantities against storage cost and redesign timing - Automate the sync between lifecycle data services and your ERP so no manual reconciliation remains - Track obsolescence cost avoidance as a KPI to protect the program's budget - Extend monitoring to sub-tier risk: your CM's alternates and your suppliers' suppliers - Review the alternates library annually; qualified alternates go EOL too ## Content **Intro:** This free component obsolescence risk assessment scores how exposed your electronics BOMs are to end-of-life parts, DMSMS events, and lifecycle blind spots. It is built for component engineers, supply chain leaders, and program managers in electronics, aerospace, and defense manufacturing, where products often outlive the semiconductors inside them by a decade or more. Answer ten questions about your visibility, processes, and ownership, and receive a graded score with specific recommendations. The assessment reflects DMSMS management practice from long-lifecycle industries, where proactive monitoring routinely costs a fraction of a single reactive redesign. **Sections:** #### Why obsolescence risk compounds silently **Body:** The average semiconductor stays in production for well under a decade, while defense and aerospace electronics commonly require 15-30 years of support. That mismatch guarantees obsolescence events; the only question is whether you meet them proactively or reactively. Reactive responses are expensive in a predictable pattern: broker stock at 3-10x authorized pricing, counterfeit exposure when provenance is weak, emergency requalification, and in the worst case a forced redesign on a program timeline you do not control. Industry DMSMS data consistently shows proactive resolution costs running an order of magnitude below reactive redesigns, which is the economic case for the monitoring and ownership questions in this assessment. #### How the scoring works **Body:** Each of the ten questions probes one layer of a mature obsolescence management system, scored 0-3 from fully reactive to fully proactive. Your total converts to a percentage of the maximum possible score and lands in one of three bands, each with recommendations sequenced for that maturity level. No single question is decisive on its own; the pattern matters more than any individual answer, because strong monitoring cannot compensate for absent ownership, and a good LTB process cannot compensate for designs that keep adding at-risk parts. The questions weight four themes roughly equally: **Bullets:** - Visibility: lifecycle monitoring coverage and how early you learn about EOL events - Mitigation: qualified alternates, last-time-buy discipline, and counterfeit controls - Integration: whether lifecycle data lives in your ERP where buyers and MRP can act on it - Ownership: a named owner and an NPI gate that stops new risk from entering designs #### What to do with your score **Body:** A score below 40 means the priority is a baseline lifecycle scrub and assigning ownership before optimizing anything, because you cannot manage exposure you have not measured. Scores in the middle band usually indicate strong practice on critical parts and weak coverage everywhere else; the fix is extending systematic monitoring to the full BOM set and pushing lifecycle flags into the ERP item master so risk is visible at the point of purchase. High scorers should focus on economics: LTB quantity optimization, cost-avoidance tracking, and sub-tier visibility. Re-run the assessment annually or after any acquisition, since integrating a new product line typically drags the score down. #### How Netray helps you close the gaps **Body:** Netray integrates component lifecycle data services directly into Infor SyteLine, Infor LN, and Baan item masters, so EOL and NRND flags appear where planners and buyers actually work instead of in a separate portal nobody checks. We build automated BOM health dashboards, AI agents that draft LTB analyses from demand history, and NPI workflow gates that block at-risk parts at part-number creation. For defense and aerospace clients, we deploy these workflows on-prem to keep BOM and program data inside your firewall. The result is obsolescence management that runs on systems rather than heroics. **Cta:** Get a Netray specialist to map your obsolescence gaps to a concrete ERP integration and monitoring plan. **Faq:** #### What is DMSMS and does it apply outside defense? **Answer:** DMSMS stands for Diminishing Manufacturing Sources and Material Shortages, the discipline of managing parts that become unavailable during a product's support life. The term comes from defense, but the problem applies to any product supported longer than about five years: industrial equipment, medical devices, rail, energy, and telecom infrastructure all face identical dynamics of semiconductors going EOL long before the product does. #### How do I size a last-time buy correctly? **Answer:** Model remaining lifetime demand including spares and repair consumption, apply a growth or decay factor per product forecast, then add attrition and yield loss. Compare the carrying cost of that inventory against the cost and timing of a redesign; the LTB is justified when it bridges you to a planned redesign or end of support at lower total cost. Judgment-only buys are typically 30-50% wrong in either direction. #### Can our ERP really track lifecycle status? **Answer:** Yes. SyteLine, LN, and Baan all support custom item attributes or user-defined fields for lifecycle state, and modern integrations can sync those fields from services like SiliconExpert or Z2Data on a schedule. The value is not the field itself but wiring it into behavior: MRP messages, PO warnings, and NPI checks that fire automatically when a part's status changes. ## Search terms component obsolescence risk assessment, dmsms risk management, eol component management, last time buy strategy, component lifecycle management erp, obsolescence management electronics --- Talk to an engineer: https://netray.co/contact?intent=erp_ai | Machine catalog: https://netray.co/agent/catalog.json