applied the EWMA statistic in an acceptance sampling
Inspection of raw materials or finished products using acceptance sampling
is one aspect of quality assurance.
Schilling, Acceptance Sampling
in Quality Control, American Society for Quality, Milwaukee, Wis, USA, 1982.
The acceptance sampling
plan for anything being tested is given in terms of the percentage or proportion that departs from some requirement.
Standard acceptance sampling
terminology refers to [Alpha] and [Beta] as the producer's risk (PR) and the consumer's risk (CR), respectively, [[Mu].sub.0] is referred to as the producer's quality level (PQL), and [[Mu].sub.1] is referred to as the consumer's quality level (CQL).
In such cases inspection is restricted to a carefully drawn sample, a procedure referred to as "acceptance sampling
." Statistical methods are used to determine the size of the sample as well as its composition, to ensure that it is representative of the entire lot.
From here they go on to cover a wide range of statistical process control (SPC) and acceptance sampling
topics with considerable depth.
Processing error is controlled most commonly by instituting standard quality control procedures like acceptance sampling
and process-control techniques.
In the manufacturing industries, acceptance sampling
plan has been widely used for inspection purposes.
The course will be delivered by Dr Basel Shadid, who will also introduce problem-solving tools and basic statistical concepts, process control and process capability plans, acceptance sampling
, and attribute controls.
The reference includes numerous appendices and a CD-ROM that contains a simulated CQE exam, sample exam questions, acceptance sampling
tables, and audio presentations.
In recent years, acceptance sampling
has been downplayed as a recommended tool because of the implication that quality is inspected into the product.
Finally, acceptance sampling
procedures are considered and product and process design is explored in terms of reliability and the effects of time on the product, experimentals design, and the Taguchi method for design and quality improvement.