Question

Explain the importance of quality management and apply statistical quality control techniques.

Answer 1

Answer:

Explanation:

Quality management systems philosophy is a holistic understanding that accepts the system as a whole and sees quality as a customer-oriented common function of every element in this whole. In the most general sense, it is the whole of planned and systematic activities carried out with the aim of achieving the targeted quality in an organization. There are some special dimensions that are common in every quality trying to be created. Dimensions help to perceive quality from different and different angles. The quality perceived by the consumer is examined in eight dimensions:

-Performance

-Features

-Reliability

-Relevance

-Durability

-Service Ability

-Aesthetic

- Perceived Quality

Statistical process control is a method of monitoring the production process using statistical tools to manage product quality “directly in the production process”.  Statistical quality or process control is common in the industry and is one of the main and mandatory methods for implementing the requirements of the ISO / TS 16949 standard in the automotive industry. A key tool of the method is the Shekhart control card. This is a graphical tool for collecting data and making decisions regarding the stability or predictability of any process, which determines how to manage the corresponding process. Purposes of Statistical quality control:

- determine whether the process is within the technical requirements.

- determine if the process is running as part of a statistically controlled state:

- if the process is in a “statistically controlled” state, it is known how it will behave in the future, and whether it is possible to count on its results.

- timely identification of trends for corrective actions before the release of non-conforming products (maintenance of the process in a "statistically controlled" state).

- monitoring continuous process improvement through reduced variability.