Statistical process control (SPC) methods are excellent tools for streamlining a process to save time and money while producing a quality product. Instead of actually testing each part after manufactu
Mitra (management, Auburn U.) introduces the foundations of methods of statistical quality assurance and statistical process control for the manufacturing and service industries. After introducing the
「統計製程管制」(Statistical Process Control，簡稱SPC)，就是以「統計學」為理論基礎，設計出管理、生產、製程資料的收集、分析、解釋、推論、改善等方法，使製程的「產出」品質穩定，繼而超出現有目標。若發現異常，則以統計方法去診斷原因，又以統計的方法去矯正，使其恢復既有的水準，稱之為「統計製程診斷與矯正」(Statistical Process Diagnosis and
