Performance Comparison of Max-Chart and EWMA-Max Chart in Monitoring Salinity Salman Alfarizi P.A.(a*), Muhammad Ahsan (a), Muhammad Masuri (a), Kevin Agung Fernanda Rifki (a)
a) Department of Statistics, Sepuluh Nopember Institute of Technology Surabaya, Indonesia
Abstract
Statistical Process Control (SPC) is a widely used statistical technique to ensure that a process meets certain criteria. SPC itself is used to identify process shifts quickly and minimize the level of damage to the product. SPC are production methods to achieve maximum efficiency, productivity and quality to produce competitive products. This study proposes a new method for monitoring salinity data in vannamei shrimp ponds using the EWMA-Max control chart. The proposed method was compared to the traditional EWMA control chart and the Max-EWMA control chart. The results showed that the EWMA-Max control chart was more effective in detecting small and large shifts in the mean of the salinity data. The optimal parameters for the EWMA-Max control chart were λ- = 0.1 and L = 2.57. The EWMA-Max control chart with these parameters was able to detect 28 out of control data and 47 in control data.
Keywords: Statistical Process Control, Salinity, Univariate, Max-Chart,EWMA-Max.
