Process Control and Acceptance Sampling:

Process control is concerned along monitoring quality whereas the product or service is being produced. The major objectives of process control plan are to provide timely information on whether at present generated items are meeting design specifications and to detect shifts in the procedure that future products cannot meet specifications. Statistical process control (SPC) involves testing a random sample of output from a procedure to determine whether the procedure is producing items within a pre-selected range. All of the components have quality characteristics that are measurable, such like the diameter or weight of a part. Attributes are quality characteristics that are classified as either good or bad, or functioning or malfunctioning. For instance, a lawnmover either runs or it doesn't; it achieved a certain level of torque and horsepower or it does not. This kind of measurement is known as sampling by attributes. On the other hand, a lawnmower's torque and horsepower may be measured as an amount of deviation from a set of standard. This kind of measurement is known as measurement by variables. In the following discussion, some standard approaches to control sampling are explained.