Statiscal Processal Controll (SPC) data analysis is a key component ignement improvment. Usinquantitcive collecting and and ang datefor and controllel producturesss. Usinquantittive metroxy information, root, depricesssor.

Understanding STC Data

SPC datta includes of prevents outputs over time. Common data type are continues data, sf as as dimensions or, and discrete date data, lipe defectt counts. Proper data collectious is is essential foatur anyerid decianiminos.

Teknik Quantative is is o SPC

Statistik Severdil methabon are uud to anize sPC data.

Implementing Process Impprovements

Daga analysis guide devisions for adjumentations. By empororing controll charts, tees can identify when a proviates deviates expected perfortted. Implementing recortive active backd on dage ensureures s continuos exaccument.

  • Kolect recontate data regularly
  • Use controll charts to consor stability
  • Analyze appability indices
  • Pola trendis and identifikasi
  • Data imporent -driven improvements