What is quality control in manufacturing?

    Short answer

    Quality control in manufacturing is the set of inspections, tests and measurements a plant uses to check that materials, work in progress and finished products meet specification before they reach the customer. It finds defects, triggers containment and feeds data back so the cause can be fixed. It sits alongside quality assurance, which prevents defects in the first place.

    Last updated · TeamAssurance

    Key facts

    • Purpose: confirm product meets drawings, specifications and customer requirements, and stop defects leaving the plant.
    • Where it happens: incoming materials, in the process and at final inspection.
    • Typical inputs: a control plan, inspection criteria, gauges and test equipment.
    • Typical outputs: accept, reject or rework decisions, plus data on defects and trends.

    What are the main quality control methods in manufacturing?

    MethodWhat it doesExample
    Incoming inspectionChecks materials and components when they arriveMeasuring a sample from each supplier batch
    In-process inspectionChecks product while it is being madeOperator checks a dimension every hour
    First article inspectionVerifies the first part after setup or changeoverFull check before a run is released
    Final inspection and testingVerifies the finished productFunctional test and visual check before dispatch
    Statistical process controlTracks measurements on a control chart to spot driftPlotting bore diameter and reacting to a trend
    SamplingInspects a defined sample instead of every unitChecking 5 units from each batch of 200

    How does a quality control process work?

    1. Define the requirement. Turn the specification into clear pass and fail criteria for each characteristic.
    2. Set the check points. Decide where, how often and by whom each check is done, usually in a control plan.
    3. Inspect or test. Measure against the criteria with calibrated gauges and record the result at the time.
    4. Contain. Segregate and tag anything that fails, and check what else could be affected.
    5. Raise a non-conformance. Record the defect, quantity, location and who found it.
    6. Fix the cause. Use root cause analysis and corrective action so the defect does not return, then verify the fix worked.

    How is quality control different from quality assurance?

    Quality control checks the product and detects defects. Quality assurance manages the process and aims to prevent them. A plant that only inspects pays for the same scrap and rework again and again, so QC results should drive improvements to the process itself, for example through error-proofing or layered process audits.

    How do you know quality control is working?

    Look at first pass yield, scrap and rework rates, customer complaints and how long non-conformances stay open. If the same defect keeps appearing, the checks are finding it but the cause is not being fixed.

    How TeamAssurance helps

    In TeamAssurance, quality checks and layered process audits are scheduled to the right people and completed on a phone or tablet at the line. Every failed check becomes an owned action, repeat defects move into root cause analysis and CAPA, and quality measures appear on the tier board next to safety, delivery and cost.

    Frequently asked questions

    What are the 7 basic quality control tools?

    They are the check sheet, histogram, Pareto chart, cause-and-effect (fishbone) diagram, scatter diagram, control chart and flowchart. Together they cover collecting data, spotting the biggest problems and finding causes.

    Who is responsible for quality control in a factory?

    Inspectors and the quality team own the inspection plan, but operators carry out many in-process checks and every supervisor is accountable for the quality of their area. A named owner should sit against each open non-conformance.

    Is 100 percent inspection better than sampling?

    Not always. Inspecting every unit is costly and still misses defects through fatigue, so it is reserved for critical characteristics. Sampling with process control is usually more effective where the process is stable and capable.