Quality Engineering, the Principles, and Practice of Product Quality Standards - Report Example

Quality of engineering refers to the analysis of all stages of processes that are involved in engineering systems to improve the quality of response and output from the machines and processes such that they meet certain standards expected in the market (Mitra, 2008). The products are stable to variations in the factors that change in their environment hence do not dilapidate more easily. A simpler definition of quality engineering is the development, operation, maintenance, and management of engineering systems and enterprise architectures with high standard quality.

Physical technology, statistical tools, and standards information are widely applied in quality control and assurance which contribute significantly to the concept of quality engineering. Professionals who practice quality engineering use the knowledge of mathematical, statistical, and management principles to produce reliable and quality products, processes, and systems.This form of engineering also uses the concept of collaborative processing to meet its objectives. Production and manufacturing systems are usually widely interlinked across various platforms in a company that provides input to the systems.

For instance, the automobile industry has various connections with various departments such as the painting, engine fitting, wiring, and manufacturing systems. These entities work together to produce a complete product fit for the market. As a result, there are workflows created by this organization's collaboration. Quality engineering comes in handy to ensure that the various departments embrace the quality attributes expected of the systems through collaboration and sharing of skills (Mitra, 2008).

It is, therefore, evident that quality engineering goes beyond the classic design process for optimal production. This discipline incorporates management issues, as well such as business and marketing strategies, knowledge and information management, business process views, performance of operation management, and risk management.