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Supply chain risk analytics combines stock cover, qualified sources, and delivery history to identify material exposure. Use a worked continuity review to rank actions, check the exports, and keep assumptions separate from observed facts.
Supply chain risk analytics ranks material exposure by combining dependency, stock cover, replenishment time, and supplier delivery history. The purpose is to decide which continuity action needs attention first. A defensible review shows the underlying rows and assumptions instead of hiding them behind an unexplained risk score.
Begin with an operating question: which material could interrupt a site before replacement supply becomes available? That question requires more than a supplier ranking by spend. An inexpensive component with no usable substitute can constrain production while a larger purchasing category has several alternatives.
NIST's supply chain guidance describes mapping and risk assessment as ways to identify exposure and consider responses such as alternative suppliers or increased safety stock. Those are distinct actions with different owners, costs, and implementation times.
This article focuses on material continuity. Use the broader supply chain analytics guide for the wider operating questions, and single-source parts and inbound concentration by site for the detailed dependency calculations.
Use one review row per part and receiving site. Join the business records by the part and site identifiers, then retain the source references. Names alone are unreliable because the same item can appear under several descriptions.
| Evidence | File and fields | Business owner |
|---|---|---|
| Usable inventory | Inventory snapshot: part, site, available units, status, snapshot date | Inventory control |
| Demand rate | Issue history or approved plan: part, site, units, working days | Planning |
| Replacement time | Purchasing history and approved assumption: supplier, part, lead time | Procurement |
| Qualified sources | Approved-source list: part, site, supplier, approval status | Quality and procurement |
| Delivery history | Due-order register: order line, committed date, completed receipt date | Procurement |
| Operational consequence | Approved critical-parts list and affected operation | Operations |
Choose a single snapshot date and define the working calendar. Keep quarantined and blocked stock separate from usable inventory. A transfer from another site counts only when it can arrive, is suitable, and has an accountable release decision.
For service history, use order lines due during the measurement window. A line is late if it was not fully received by its committed date, including a line still open after that date. Counting only completed receipts excludes the unresolved late orders that matter most.
A fictional Ohio industrial equipment manufacturer reviews these parts at one site. Daily usage is the approved working-day demand assumption. Replacement time is an approved scenario input, not a promised delivery. The scenario assumes no usable inbound receipts during that replacement interval.
| Part | Usable stock, units | Daily usage, units | Replacement time, working days | Qualified sources | Stops production if absent? |
|---|---|---|---|---|---|
| A: controller | 200 | 50 | 12 | 1 | Yes |
| B: housing | 600 | 60 | 8 | 2 | Yes |
| C: label | 150 | 30 | 10 | 1 | No; approved temporary label available |
Calculate the following measures without mixing units or calendars:
Stock cover = usable units / daily usage
Uncovered interval = maximum of (replacement days − stock cover) and zero
Scenario unit gap = maximum of (replacement days × daily usage − usable stock) and zero
| Part | Stock-cover calculation | Cover, working days | Uncovered interval, working days | Scenario unit gap |
|---|---|---|---|---|
| A | 200 / 50 | 4 | 8 | 400 |
| B | 600 / 60 | 10 | 0 | 0 |
| C | 150 / 30 | 5 | 5 | 150 |
For A, replacement demand is 12 × 50 = 600 units. Subtracting its 200 usable units leaves a 400-unit gap. The independent check gives the same result: its uncovered interval of eight working days multiplied by daily usage of 50 is 400 units.
B has stock beyond the assumed replacement interval, so the gap is zero rather than negative. C has a quantity gap, but operations has approved a temporary substitute. Keep that qualification visible so the action ranking reflects operational consequences.
Compare equal-length prior and current service windows using the same committed-date definition. The following due-line counts belong to the supplier and part combinations in the example; they are separate from the inventory snapshot.
| Part | Prior due lines | Prior late lines | Current due lines | Current late lines | Prior late rate | Current late rate | Change, percentage points |
|---|---|---|---|---|---|---|---|
| A | 20 | 2 | 20 | 6 | 10% | 30% | +20 |
| B | 20 | 2 | 20 | 2 | 10% | 10% | 0 |
| C | 20 | 2 | 20 | 3 | 10% | 15% | +5 |
The rate is late lines divided by due lines. For A, 6 / 20 = 30%, compared with 2 / 20 = 10% previously. Subtraction produces a deterioration of 20 percentage points. Show the counts beside the rates so a reader can assess how much evidence supports the movement.
These observations make A the first review: limited cover, one qualified source, an operational stop consequence, and worsening delivery history. They do not establish its probability of failure. Predictive supply chain analytics addresses a separate question that requires its own assumptions and validation.
Procurement should first confirm A's open commitments and the reason for deterioration. Planning should check whether the usage assumption reflects the next production schedule. Operations and quality should establish the time needed to approve another source or transfer suitable inventory.
C still needs action: confirm that the temporary label remains approved and identify who can release it. B can remain under routine monitoring unless capacity, quality, or demand changes. A qualified source count does not reveal whether alternatives share the same constrained upstream producer.
FEMA's supply chain integrity guidance calls for analyzing dependencies and interdependencies. In a company review, that means checking shared factories, transport routes, utilities, and materials before treating suppliers as independent backups.
Record each action with an owner, due date, evidence needed, and next review date. Keep environmental trade-offs in the related sustainable supply chain analytics review, so a continuity decision has clear supporting evidence without mixing unlike measures into one score.
Bring your inventory, demand, approved-source, and purchasing exports to Covirage; it maps the columns, and its tools compute and check the comparisons. The external AI model explains the evidence with every figure traced to its rows. Create a free Covirage account and bring a sample of your own data.
See Covirage for supply chain teams for the wider continuity review.
Spend measures purchasing value, but a low-cost part can stop an expensive production line. Include operational criticality, usable stock, replenishment time, and qualified alternatives. Use spending as context rather than assuming the largest supplier is automatically the greatest continuity exposure.
A late-delivery rate describes observed performance against a defined due-date rule. Deterioration can justify a supplier discussion, but it is not a calibrated failure probability. Confirm the cause, current commitments, and the amount of relevant history before interpreting the change.
An alternative should be approved for the specific part and receiving site, with the required quality and capacity confirmed. A name in a supplier directory is a potential lead. It should not reduce current dependency exposure until it can actually supply the requirement.
Procurement usually coordinates supplier evidence and follow-up. Planning owns demand assumptions, inventory control owns usable stock, quality confirms approved sources, and operations confirms criticality. Finance can review cost consequences while the relevant business owner approves each mitigation action.