SPC Data Visualization of Seasonal and Financial Data Using JMP®

SPC Data Visualization of Seasonal and Financial Data Using JMP®

Statistical process control (SPC) is a methodology that has been used for almost 100 years in manfacturing. Why? Because, SPC charts work very well under the ideal conditions of data independence and normality.

However, the benefits of its use have now extended into areas like insurance claims processing, banking, health care and survey research. In many of these environments, the desired mean may be shifting up or down, or the responses may be cyclic in nature . In this paper, we examine some of the problems with plotting time series data on control charts and suggest remedies.  

This whitepaper explores two case studies that showcase the the use of Shewhart, CUSUM and moving average charts in JMP. These  SPC chart features can be accessed through menus and dialogs, scripting, or a drag and drop interface.

*
*
*
*
  향후 JMP 사용자를 위한 월간 뉴스레터인 Monthly User Guide를 수신하는 데 동의합니다.
  향후 JMP에서 제공하는 제품 정보 및 서비스를 수신하는 데 동의합니다. 언제든지 JMP에서 이메일을 수신 거부할 수 있습니다.

JMP는 SAS Institute Inc.의 한 부서이며 귀하의 정보는 SAS 개인 정보 보호 정책 준칙에 따라 존중하며 보호합니다.

 
 

Back to Top