Automotive supply networks
Automotive supplier risk is dominated by dependencies you have no contract with. Your tier 1 is visible and contractually bound; the tier 2 and tier 3 that actually constrain the programme are neither. This sets out how to map that layer, what to record per part, and why ranking suppliers by spend hides the ones that stop a line.
Automotive supply networks can hide dependencies below the contracted supplier. Teams need a reviewable way to relate tiered supplier evidence, component and plant exposure, capacity constraints, quality issues, logistics paths, and customer-program impact.
Qeluntra connects authorized supplier, contract, procurement, finance, logistics, inventory, and operating context. AI-assisted recommendations remain explainable and consequential actions remain subject to human approval.
Almost every supplier risk programme sorts by spend. In automotive that ranking is close to inverted, because the parts that stop a line are rarely the parts you spend most on.
A vehicle does not ship without a connector costing under a pound. The supplier of that connector may sit well below the spend threshold at which anyone reviews anything.
The semiconductor shortage made this visible at industry scale: the constraining components were low-value, deep in the tier structure, and shared across programmes that nobody had modelled together. The lesson was not "hold more inventory". It was that exposure follows the bill of materials, not the ledger.
Rank by production value at risk instead: the value of vehicles that cannot be built if this part stops. A connector on every unit of a high-volume programme carries more exposure than a seat supplier on a low-volume variant, whatever the invoices say.
You cannot audit a supplier you have no relationship with, so mapping has to work through your tier 1. Four levels of knowledge, in ascending cost and descending frequency:
| Level | What you know | How you get it |
|---|---|---|
| 1. Declared | Sub-tier names your tier 1 volunteers | A contractual disclosure obligation. Cheap, incomplete, and better than nothing |
| 2. Located | Manufacturing site per part, not head office | Ask per part number. A company address tells you nothing about a flood or a fire |
| 3. Concentrated | Where several of your tier 1s converge on one sub-tier | Only visible once levels 1 and 2 are aggregated across suppliers |
| 4. Constrained | Capacity and allocation at that sub-tier, including other customers | Expensive, often refused, worth pursuing only for the top exposures |
Level 3 is where the finding is. Three tier 1 suppliers, three separate contracts, three risk assessments that each look acceptable — and one tier 2 plant behind all of them. Nothing in a per-supplier assessment can surface that; it only appears when sub-tier data is aggregated across your whole tier 1 base. Most organisations have the data to do this and have never joined it up.
Make disclosure contractual at sourcing, when you have leverage. Asking an incumbent to name their sub-tiers after award is a conversation you usually lose.
The unit of record is the part, not the supplier. A supplier is fine on one part and in trouble on another, and only the part view supports the question programme teams actually ask.
| Field | Why |
|---|---|
| Programmes and plants consuming it | Converts a part problem into a production number |
| Annual volume and production value at risk | The ranking that replaces spend |
| Manufacturing site, not head office | Geographic and weather exposure is per site |
| Declared sub-tier for the constraining component | Level 1 above; the entry point to everything else |
| Tooling ownership and location | Decides whether re-sourcing is weeks or a year |
| Qualification state, with PPAP status | An alternative that is not through PPAP is not an alternative yet |
| Open corrective actions | The best available leading indicator of delivery trouble |
| Inventory cover, in days | The only figure that converts a disruption into time to respond |
Tooling ownership is the field that most changes the answer. If you own the tool and it is transferable, a supplier failure is a logistics problem measured in weeks. If the supplier owns it, or it is bonded into their line, you are looking at requalification and a new PPAP — which is a different order of magnitude and a different conversation with the programme director.
IATF 16949 governs the quality management system and, through the core tools, how a part is qualified and how problems are worked. It is the right backbone and it is not a supply-risk framework.
| Covered by the quality system | Not covered |
|---|---|
| Part approval and qualification evidence (PPAP) | Whether the supplier is financially able to keep running |
| Advance planning and risk at process level (APQP, PFMEA) | Concentration across your supplier base |
| Problem solving and corrective action | Sub-tier dependency you have no contract with |
| Measurement and capability | Allocation decisions made at a constrained sub-tier for another customer |
The distinction matters because a supplier can be fully compliant, audited and green on every quality metric, and still be a single point of failure for four programmes. Quality conformance and supply continuity are different questions, and the second one has no equivalent audit.
The financial dimension deserves its own watch. Filed accounts, payment behaviour to their suppliers, and sudden changes in responsiveness are the earliest signals available, and they arrive long before a quality metric moves.
The value of all the mapping above is that it shortens the first day. Four things to decide in advance for the top exposures:
The test worth running annually, and it takes an hour: pick a tier 1 at random and ask what would happen if their main plant were unavailable for four weeks. If answering requires three people and a day of work, that is your answer, and it is the same answer during a real disruption.
It is the practice of identifying and reducing the risk that a supplier, or a supplier of that supplier, interrupts vehicle production — covering capacity, quality, financial standing, geographic exposure, tooling and sub-tier dependency, measured against programmes and plants rather than against spend.
Because the parts that stop a line are often low-value. A connector costing under a pound can halt a high-volume programme while sitting below the threshold at which anyone reviews a supplier. Rank by production value at risk instead.
Through your tier 1, in four levels: sub-tiers they declare under a contractual disclosure obligation, the manufacturing site per part rather than head office, concentration found by aggregating those declarations across your whole tier 1 base, and capacity or allocation at the constrained sub-tier.
Several tier 1 suppliers, each individually assessed as acceptable, depending on one shared tier 2 plant. No per-supplier assessment can surface it; it appears only when sub-tier data is aggregated across suppliers.
Not directly. It governs the quality management system and part qualification through the core tools. Financial viability, concentration across your supplier base, sub-tier dependency and allocation decisions made for another customer sit outside it — a supplier can be fully conformant and still be a single point of failure.
It decides whether re-sourcing takes weeks or a year. An owned, transferable tool makes a supplier failure a logistics problem; a supplier-owned or line-bonded tool means requalification and a new part approval before anything ships.