Control diagram of Shewhart phase I to monitor dispersion process.

Risky Faradila, Suwanda Idris, Aceng Komarudin Mutaqin

Abstract


Control diagram is a tool of Statistical Process Control (SPC) used to detect ‘in control’ or ‘out of control’ process. Practically, SPC can be done in two phases; phase I (start up) and phase II (establish). Control diagram of Shewhart is generally more suitable in the application of phase I because it is better to detect big changes. However, its control limits must be examined. This study describes control diagram of Shewhart varians S2 Fase I based on False Alarm Probability (FAP) and Attained False Alarm Rate (AFAR) to monitor process dispersion with assumption that the process is in normal distribution by unknown mean and varians. The obtained control diagram will be applied on process dispersion control for airplane components.

Keywords


Control diagram, phase I, phase II, intercorrelation (dependent).

References


Gaspersz, Vincent. 1998. Production Planning and Inventory Control. Jakarta: Gramedia Pustaka Utama.

Human, S.W., Chakraborti, S., Smit, C.F., 2009. Shewhart-type S2, S, and R Diagram kendalis for Phase I applications. Technical Report, 2009/01, Department of Statistics, University of Pretoria, South-Africa.

Montgomery, D.C., 2005. Introduction to Statistical Quality Control, 5th ed. John Wiley, New York, NY.

The Boeing Company, 1998. Advanced Quality System, D1-9000, and AQS, U.S.A.

Woodall, W.H., 2000. Controversies and contradictions in statistical process control. Journal of Quality Technology, 32, 341-350.




DOI: http://dx.doi.org/10.29313/.v0i0.2613

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