Quality management

Quality management ensures that an organization, product or service consistently functions well. It has four main components: quality planning, quality assurance, quality control and quality improvement. Quality management is focused not only on product and service quality, but also on the means to achieve it. Quality management, therefore, uses quality assurance and control of processes as well as products to achieve more consistent quality. Quality control is also part of quality management. What a customer wants and is willing to pay for it, determines quality. It is a written or unwritten commitment to a known or unknown consumer in the market. Quality can be defined as how well the product performs its intended function. Quality management is a recent phenomenon but important for an organization. Civilizations that supported the arts and crafts allowed clients to choose goods meeting higher quality standards than normal goods. In societies where arts and crafts were the responsibility of master craftsmen or artists, these masters would lead studios and train and supervise others. However, the importance of craftsmen diminished as mass production and repetitive work practices were instituted. This approach’s aim was to produce large numbers of the same goods. The first proponent in the US for this approach was Eli Whitney, who proposed (interchangeable) parts manufacture for muskets, hence producing the identical components and creating a musket assembly line. The next step forward was promoted by several people including Frederick Winslow Taylor, a mechanical engineer who sought to improve industrial efficiency. He is sometimes called "the father of scientific management." He was one of the intellectual leaders of the Efficiency Movement and part of his approach laid a further foundation for quality management, including aspects like standardization and adopting improved practices. Henry Ford was also important in bringing process and quality management practices into operation in his assembly lines.

Optimizing Manufacturing Efficiency: A Six-Sigma DMAIC Approach to Reduce Operational Gaps

Extensions of Peer Prediction Incentive Mechanisms

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Optimizing Manufacturing Efficiency: A Six-Sigma DMAIC Approach to Reduce Operational Gaps

Extensions of Peer Prediction Incentive Mechanisms

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks