DocumentCode :
3146228
Title :
Statistical quality control: A case study research
Author :
Camargo, Maria Emilia ; Filho, Walter Priesnitz ; Dullius, Ângela Isabel dos Santos ; Maciel, José Maurício Carré ; Pinto, Marcelo Machado Barbosa
Author_Institution :
Univ. of Caxias do Sul, Caxias
fYear :
2008
fDate :
21-24 Sept. 2008
Firstpage :
746
Lastpage :
750
Abstract :
In this paper, statistical quality control of a production line has been presented using the classical method Shewhart, cumulative sum method (CUSUM) and Exponentially Weighted Moving Average (EWMA). The Shewhart technique can be utilized in controlling the process in which there are big changes in mean. The cumulative sum method is more efficient in detecting small changes in the mean. The EWMA includes the two techniques, as limited cases, since when lambda = 1 the exponential smooth model is equivalent to the Shewhart technique, and when lambda = 0 equivalent to the cumulative sum technique.
Keywords :
exponential distribution; process monitoring; quality control; statistical process control; Shewhart cumulative sum method; cumulative sum method; exponentially weighted moving average; production line; statistical quality control; Control charts; Industrial control; Manufacturing industries; Process control; Production; Pulp manufacturing; Quality control; Smoothing methods; Time measurement; Virtual manufacturing; Exponentially Weighted Moving Average; Method CUSUM; Shewhart Charts;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of Innovation and Technology, 2008. ICMIT 2008. 4th IEEE International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-2329-3
Electronic_ISBN :
978-1-4244-2330-9
Type :
conf
DOI :
10.1109/ICMIT.2008.4654458
Filename :
4654458
Link To Document :
بازگشت