Fuzzy control charts represent a significant evolution in Statistical Process Control (SPC) by addressing intrinsic uncertainties in measurement and human evaluation that classical approaches often ...

Market opportunities lie in developing and implementing SPC systems for laboratories to enhance GLP compliance. Utilizing control charts, like Nelson Rules, allows for early detection and correction ...

This course addresses the basic theory behind Statistical Process Control (SPC), a method used in monitoring and controlling the quality of a process through statistical analysis to reduce variation.

Not too long ago, a fully automated production environment was designed for an Agilent facility. It permits so-called 24/7 (24 h/d, seven d/wk) testing—without human intervention. The goal was to ...

This course teaches the basic statistical principles, state-of-the-art concepts, advanced tools, and available techniques for statistical process monitoring, quality fault detection, and continues ...

Statistical Process Control (SPC) provides the means for the control of product quality and the reduction of process variation. To be successful you need to know how to collect data, understand the ...

This paper describes the present status of statistical process control from the view-point of the statistician. It summarizes twenty papers dating from early 1930 to the present. It indicates the ...

A medical device manufacturer ditched a clunky ERP module for quality inspection, opting instead for specialized statistical process control software. Upgrading to new software costs time and money ...

In today’s tough world market environment, the need to be better is more demanding, and the need to be more competitive is a necessity to survive. A company cannot rest on the success of past ...