Statistical Quality Control: A Modern Introduction

Description

Statistical quality control, the use of statistical methods in the monitoring and maintaining of the quality of products and services. One method, referred to as acceptance sampling, can be used when a decision must be made to accept or reject a group of parts or items based on the quality found in a sample. A second method, referred to as statistical process control, uses graphical displays known as control charts to determine whether a process should be continued or should be adjusted to achieve the desired quality. Statistics means data, a good amount of data. Or simply, the collaborative study of accumulation, analysis, interpretation and presentation of massive volumes of data. Applications of statistical methods in order to visualize, interpret and anticipate outcomes over collected data. Quality “a characteristic of fitness for purpose at lowest cost”, or “degree of perfection that suffices the customer requirements”. Quality can be defined as “the entirety of features and characteristics for products and services satisfying implicit and explicit demands of customers.” Statistical Quality Control is best suited for students in engineering, statistics, business and management science or students in undergraduate courses.