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ERP Use CasesTier 2Published May 11, 2026

Scrap & Rework Management

Scrap & Rework Management for US and UK finance teams: ERP requirements, controls, audit evidence, data model, APIs, state transitions, and implementation checks.

Shop Floor Control / Quality is where ERP discipline either begins or breaks.

Scrap & Rework Management looks operational from far away. In a real finance team, it is a chain of assertions: the right actor started the work, the required records existed, the control policy was applied, the state change was preserved, and the outcome can be explained later without rebuilding the transaction from emails and spreadsheets.

The expected business outcome is specific: Scrap costs are captured at the point of occurrence; rework is tracked and costed accurately; quality teams have data-driven Pareto analysis to prioritize process improvements; cost of poor quality (COPQ) is quantified monthly.

The control flow a finance team actually needs.

Workflow map showing control steps, exceptions, and evidence for this ERP process.Scrap Entry With...Start conditionAutomatic NCR Cr...Required checksDisposition Work...Owner and SLARework Sub-Order...System updateRework Costing C...Exception handlingAudit packetEvidence trailException loopShop Floor Control / Quality should preserve every override and rejection.
Workflow map for this ERP process, including exception handling and audit evidence.

Step 1

Scrap Entry With Reason Code, Quantity,...

Step 2

Automatic NCR Creation From Scrap Event

Step 3

Disposition Workflow With Approval Levels

Step 4

Rework Sub-Order Creation Linked To Parent

Step 5

Rework Costing Captured Separately

The ERP surface involved.

Module

Shop Floor Control / Quality

Actors

Machine Operator, Quality Inspector, Production Supervisor, ERP System

Tier

Tier 2

Finance area

Manufacturing & Production

Region lens

US and UK finance teams

Publication date

May 11, 2026

Scrap entry with reason code, quantity, operation, and employee; automatic NCR creation from scrap event; disposition workflow (rework / use-as-is / scrap) with approval levels; rework sub-order creation linked to parent; rework costing captured separately; scrap variance posted to GL with reason-code cost center; scrap Pareto report (by reason, work center, part, operator); integration with SPC system for trend detection; scrap reversal with reason; quarantine location management for held parts.

US and UK teams have different compliance hooks, but the same control problem.

US teams usually care about clean evidence for audit support, vendor records, payment controls, tax reporting, and management review. UK teams usually care about VAT-ready records, approval evidence, digital-record discipline, and traceable postings. The country-specific details differ, but the operating pattern is the same: the ERP needs controlled records, explicit ownership, defensible state changes, and evidence that survives beyond the person who completed the task.

The control matrix.

Control areaRequirementAcceptance proof
Control 1Scrap entry with reason code, quantity, operation, and employeeGiven an in-progress work order operation
Control 2automatic NCR creation from scrap eventwhen an operator records a scrap transaction with quantity, reason_code, and operation_id
Control 3disposition workflow (rework / use-as-is / scrap) with approval levelsthen inventory WIP is reduced, scrap is posted to GL scrap expense account by reason_code, and an NCR is created with status OPEN
Control 4rework sub-order creation linked to parentnegative) when a scrap quantity exceeds the remaining WIP quantity on the operation then 422 SCRAP_EXCEEDS_WIP.
Control 5rework costing captured separatelyScrap costs are captured at the point of occurrence; rework is tracked and costed accurately; quality teams have data-driven Pareto analysis to prioritize process improvements; cost of poor quality (COPQ) is quantified monthly.
Control 6scrap variance posted to GL with reason-code cost centerScrap costs are captured at the point of occurrence; rework is tracked and costed accurately; quality teams have data-driven Pareto analysis to prioritize process improvements; cost of poor quality (COPQ) is quantified monthly.

Audit evidence is a chain, not a folder.

Evidence layerWhat should be preserved
Business event
An operator discovers defective parts during an operation and enters a scrap transaction specifying quantity, scrap reason code (e.g., dimensional out-of-spec, surface defect), and the responsible operation. The system posts the scrap to the scrap expense account, reduces WIP, and generates a nonconformance report (NCR). A quality inspector evaluates the scrapped parts and selects a disposition: rework (creates a rework sub-order), use-as-is (requires deviation approval), or scrap (final). If rework is chosen, the system creates a rework work order with a modified routing for the repair operations, consuming additional labor and materials. Upon rework completion, parts are re-inspected and accepted quantity is moved back into the main work order's good quantity. Scrap cost is accumulated by reason code and work center for Pareto analysis.
Control rulesScrap entry with reason code, quantity, operation, and employee; automatic NCR creation from scrap event; disposition workflow (rework / use-as-is / scrap) with approval levels; rework sub-order creation linked to parent; rework costing captured separately; scrap variance posted to GL with reason-code cost center; scrap Pareto report (by reason, work center, part, operator); integration with SPC system for trend detection; scrap reversal with reason; quarantine location management for held parts.
Acceptance proofGiven an in-progress work order operation; when an operator records a scrap transaction with quantity, reason_code, and operation_id; then inventory WIP is reduced, scrap is posted to GL scrap expense account by reason_code, and an NCR is created with status OPEN; (negative) when a scrap quantity exceeds the remaining WIP quantity on the operation then 422 SCRAP_EXCEEDS_WIP.
Data record
scrap_transactions { txn_id: string, work_order_id: string, op_id: string, quantity: numeric, reason_code: string, employee_id: string, amount_minor: int64, currency_code: char(3), external_id: string };
ncrs { ncr_id: string, scrap_txn_id: string, status: enum, disposition: enum, rework_wo_id: string, external_id: string };
(reference, product may differ).
System event
POST /v1/scrap-transactions { work_order_id, op_id, quantity, reason_code } -> 201 { txn_id, ncr_id };
POST /v1/ncrs/{id}/disposition { disposition: REWORK|USE_AS_IS|SCRAP } -> 200;
POST /v1/ncrs/{id}/rework-order -> 201 { rework_wo_id };
emits scrap.recorded, ncr.created events;
idempotent via external_id.
Lifecycle state
NCR: OPEN -> UNDER_REVIEW -> DISPOSED;
terminal CLOSED;
rework sub-order follows standard work_order ST;
guard: USE_AS_IS disposition requires deviation approval before closing NCR.

The useful version of this workflow is not only fast. It is inspectable. A controller, auditor, or operator should be able to move from source event to system record to state transition to final business outcome without guessing.

Implementation contracts.

Reference data model

`scrap_transactions` { txn_id: string, work_order_id: string, op_id: string, quantity: numeric, reason_code: string, employee_id: string, amount_minor: int64, currency_code: char(3), external_id: string }; `ncrs` { ncr_id: string, scrap_txn_id: string, status: enum, disposition: enum, rework_wo_id: string, external_id: string }; (reference, product may differ).

API and events

`POST /v1/scrap-transactions` { work_order_id, op_id, quantity, reason_code } -> 201 { txn_id, ncr_id }; `POST /v1/ncrs/{id}/disposition` { disposition: REWORK|USE_AS_IS|SCRAP } -> 200; `POST /v1/ncrs/{id}/rework-order` -> 201 { rework_wo_id }; emits `scrap.recorded`, `ncr.created` events; idempotent via `external_id`.

State transitions

NCR: `OPEN -> UNDER_REVIEW -> DISPOSED`; terminal `CLOSED`; rework sub-order follows standard work_order ST; guard: USE_AS_IS disposition requires deviation approval before closing NCR.

Common implementation traps.

Treating the workflow as data entry

If the ERP only stores the final record, the team loses the decision trail that explains how the record became valid.

Hiding exception logic

Exceptions need owners, reason codes, and time stamps. A vague pending state is not a control.

Posting without recovery design

Retries, duplicate submissions, and partial failures must be explicit so the system does not create inconsistent records.

Skipping evidence design

A workflow that cannot produce evidence on demand will eventually push finance teams back into manual screenshots and spreadsheets.

Where Rivane fits.

Rivane is built for finance workflows where automation must stay tied to source documents, approvals, state transitions, ledger impact, reporting, and audit evidence. Use this guide as a checklist for evaluating whether an ERP workflow is merely digitized or actually controlled.

References and source basis.

These sources provide the standards, regulatory, or government context around the flow. They are included so the guide is useful to finance operators, auditors, and implementation teams, not only buyers reading software copy.

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