Meaning
Statistical quality control method for evaluating a lot of components through fractional inspection. This acceptance sampling protocol determines whether a batch of wireless modules meets the specified quality levels without testing every unit. It defines the maximum number of defects allowed in a sample size relative to the entire production run.
The process concludes with a decision to accept or reject the whole lot based on the results of the sub-group. This approach reduces testing costs while maintaining a known level of confidence in the quality of the incoming inventory.
Lot Disposition
Decision making for a production run relies on predefined probability thresholds. When a buyer receives a shipment of antennas, acceptance sampling dictates the pass or fail criteria for the arrival inspection. This stage uses an acceptable quality level to set the boundary for producer risk.
A lot that fails the count is returned to the supplier for total screening or scrap.
Risk Allocation
Two types of statistical errors govern the interaction between the manufacturer and the integrator. Producer risk involves the rejection of a good batch, while consumer risk involves the acceptance of a bad one. These levels are negotiated before mass production begins.
Operating Characteristic
Graphical representation of plan performance shows the probability of acceptance across different levels of incoming quality. The curve for a specific acceptance sampling plan illustrates how steeply the probability drops as defect rates rise. High sensitivity protects the system from poor components.
Steep curves require larger sample sizes.
