Time-series models for statistical process control (SPC)
With the objective of reducing process variability, Statistical Process Control (SPC) aims to improve a process by detecting, identifying, and removing special causes of variation. The primary SPC method used to monitor the quality of a given process is the control chart. Based on the classic work o...
Päätekijä: | Lui, Woei Wen. |
---|---|
Muut tekijät: | Spedding, Trevor |
Aineistotyyppi: | Opinnäyte |
Kieli: | English |
Julkaistu: |
2009
|
Aiheet: | |
Linkit: | http://hdl.handle.net/10356/19952 |
Samankaltaisia teoksia
-
Application of statistical process control (SPC) to the production system of an automotive manufacturing plant's welding shop in Malaysia /
Tekijä: 405352 Halim Shah Hamzah, et al.
Julkaistu: (2005) -
Knowledge-based SPC advisory system for electronic assembly operations
Tekijä: Lau, Yong Ming.
Julkaistu: (2009) -
Development of statistical process control (SPC) matlab-based software for automotive industries application
Tekijä: Siti Hazlina, Mokhtar
Julkaistu: (2012) -
Improvement of quality performance in SME's manufacturing industries using statistical process control (SPC)
Tekijä: Siew Tien, Lau
Julkaistu: (2012) -
Development of the user friendly spreadsheet based SPC (statistical process control) on SME company
Tekijä: Mohd Yusri, Yusof
Julkaistu: (2007)