Overview
Rework and scrap are two common outcomes of nonconforming output in production and service operations. Both affect quality performance, cost, and delivery, but they must be recorded and managed differently to support accurate reporting and continuous improvement.
Rework is work performed to bring a nonconforming item back to an acceptable condition. Scrap is an item or material that cannot be economically repaired or used as intended.
It is important to distinguish rework and scrap from related terms:
Defect: a nonconformance or failure to meet a requirement.
Waste: any activity or resource use that does not add value; rework and scrap may be forms of waste, but not all waste is rework or scrap.
Definitions and examples
Rework
Rework is performed when the item can still be corrected and returned to specification.
Example: polishing a part to remove surface defects.
Example: re-entering data after correcting an incorrect field.
Example: replacing a faulty component in an assembled unit.
Scrap
Scrap is declared when the item cannot be repaired economically, safely, or within required time limits.
Example: a cracked casting that cannot be restored to specification.
Example: a damaged document that must be recreated from scratch.
Example: material contaminated beyond acceptable use.
When to classify an item as rework or scrap
Classification should be based on objective criteria and approved by the appropriate authority.
Technical feasibility: can the item be restored to requirement?
Cost: is rework less costly than replacement or remake?
Time: can rework be completed without unacceptable delay?
Customer impact: will the action affect delivery, performance, or commitments?
Safety and regulatory requirements: does the item remain compliant after correction?
Decision ownership should be clearly defined. In most cases, operators or supervisors identify the issue, quality reviews the nonconformance, engineering supports technical disposition, and management or the customer approves borderline cases or concessions.
Escalate cases when the disposition is unclear, when safety or compliance is involved, or when the cost and schedule impact is significant.
Process for handling nonconforming output
Detect and isolate the nonconforming item to prevent unintended use or shipment.
Record the defect and affected quantity in the appropriate system or log.
Assess root cause and determine the disposition options.
Decide the action: rework, scrap, use as is, return to supplier, or concession.
Execute the approved action and verify the result after completion.
Each step should be traceable, with clear approval and evidence of completion.
Data to capture
To support analysis and cost tracking, capture consistent data for each rework or scrap event.
Product or order reference
Operation, date, shift, line, or work center
Defect type and reason code
Quantity affected
Responsible area
Disposition type
Labor hours spent on rework
Material cost and scrap value
Downtime or delay impact
Approval details and decision owner
Planned vs. unplanned rework, where applicable
Metrics and reporting
Use the recorded data to monitor performance and identify improvement opportunities.
Rework rate
Scrap rate
Cost of poor quality
First-pass yield
Defect trends
Pareto analysis of major causes
Review trends regularly to identify recurring issues, prioritize corrective actions, and measure the effectiveness of improvements.
Roles and responsibilities
Operators: identify and report nonconforming output.
Supervisors: contain the issue, coordinate immediate action, and ensure records are completed.
Quality team: review defects, confirm classification, and maintain reporting accuracy.
Engineering: assess technical feasibility and support disposition decisions.
Finance: validate cost allocation and support cost of poor quality reporting.
Controls and best practices
Use standard reason codes and consistent classification rules.
Maintain traceability and a complete audit trail for every disposition.
Review recurring causes on a periodic basis.
Link repeated issues to corrective and preventive actions.
Separate planned rework from unplanned rework when relevant.
Common pitfalls
Mixing rework with normal process adjustments.
Underreporting scrap to avoid visible losses.
Using inconsistent cost allocation methods.
Skipping root-cause analysis before disposition.
Related records and integrations
Rework and scrap records should connect to related quality and operational documents, including:
Nonconformance reports
Corrective and preventive actions (CAPA)
Inspection results
Production orders
Inventory adjustments
Quality dashboards
When integrated properly, these records provide a reliable basis for control, reporting, and continuous improvement.