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Advanced product quality planning (APQP) is a framework of procedures and techniques used to develop products in industry, particularly in the automotive industry.It differs from Six Sigma in that the goal of Six Sigma is to reduce variation but has similarities to Design for Six Sigma (DFSS).
A product's durability for example, can seldom be observed directly; it usually must be inferred from various tangible and intangible aspects of the product. In such circumstances, images, advertising and brand names -inferences about quality rather than the reality itself- can be critical.
Quality Management Software is a category of technologies used by organizations to manage the delivery of high quality products. Solutions range in functionality, however, with the use of automation capabilities they typically have components for managing internal and external risk, compliance, and the quality of processes and products.
Product quality data is statistically charted to distinguish between common cause variation or special cause variation. [25] Walter Shewart of Bell Telephone Laboratories recognized that when a product is made, data can be taken from scrutinized areas of a sample lot of the part and statistical variances are then analyzed and charted.
Quality is a perceptual, conditional, and somewhat subjective attribute and may be understood differently by different people. [1] [2] Consumers may focus on the specification quality of a product/service, or how it compares to competitors in the marketplace.
Quality engineering is the discipline of engineering concerned with the principles and practice of product and service quality assurance and control. [1] In software development, it is the management, development, operation and maintenance of IT systems and enterprise architectures with high quality standard.
The plan–do–check–act cycle is an example of a continual improvement process. The PDCA (plan, do, check, act) or (plan, do, check, adjust) cycle supports continuous improvement and kaizen. It provides a process for improvement which can be used since the early design (planning) stage of any process, system, product or service.
Verification is intended to check that a product, service, or system meets a set of design specifications. [6] [7] In the development phase, verification procedures involve performing special tests to model or simulate a portion, or the entirety, of a product, service, or system, then performing a review or analysis of the modeling results.