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