Wednesday, August 5, 2009

TQM -Total Quality Management Terms



TQM (Total Quality Management)

Quality is the key to competitive advantage in today's business environment. As more organisations opt for Total Quality Management (TQM), the choices open to those wanting to set up a quality system are becoming increasingly varied. T

Here are useful key terms to be used for Schools and beginners to learn-

Terms are Modified to be used for college students specially for there assignments

Activity - An all-inclusive term describing a specific set of operations of related tasks to be performed, either serially or in parallel
Accuracy - A measure of the closeness of an individual measurement or the average of a number of measurements to the true value. Accuracy includes a combination of random error (precision) and systematic error (bias) components that are due to sampling and analytical operations; the EPA recommends using the terms "precision" and "bias", rather than "accuracy," to convey the information usually associated with accuracy.
Assessment - The evaluation process used to measure the performance or effectiveness of a system and its elements. As used here, assessment is an all-inclusive term used to denote any of the following: audit, performance evaluation (PE), management systems review (MSR), peer review, inspection, or surveillance.
Audit (quality) - A systematic and independent examination to determine whether quality activities and related results comply with planned arrangements and whether these arrangements are implemented effectively and are suitable to achieve objectives.
Audit of Data Quality (ADQ) - A qualitative and quantitative evaluation of the documentation and procedures associated with environmental measurements to verify that the resulting data are of acceptable quality.
Authenticate - The act of establishing an item as genuine, valid, or authoritative.
Bias - The systematic or persistent distortion of a measurement process, which causes errors in one direction (i.e., the expected sample measurement is different from the sample's true value).