Economic design of exponentially weighted moving average chart with variable sampling interval at fixed times scheme incorporating Taguchi loss function

2018 ◽  
Vol 29 (4) ◽  
pp. 428
Author(s):  
Ineen Sultana ◽  
Imtiaz Ahmed ◽  
Abdullahil Azeem ◽  
Nitish Ranjan Sarker
Keyword(s):  
Loss Function ◽  
Moving Average ◽  
Sampling Interval ◽  
Economic Design ◽  
Exponentially Weighted Moving Average ◽  
Taguchi Loss Function ◽  
Variable Sampling Interval ◽  
Variable Sampling ◽  
Fixed Times ◽  
Weighted Moving Average

Design of a Variable Sampling Interval EWMA Median Control Chart

2019 ◽  
Vol 26 (05) ◽  
pp. 1950021 ◽  
Author(s):  
Kim Phuc Tran ◽  
Philippe Castagliola ◽  
Thi Hien Nguyen ◽  
Anne Cuzol
Keyword(s):  
Control Chart ◽  
Control Charts ◽  
Food Production ◽  
Average Run Length ◽  
Moving Average ◽  
Sampling Interval ◽  
Performance Comparison ◽  
Variable Sampling Interval ◽  
Variable Sampling ◽  
Weighted Moving Average

In the literature, median type control charts have been widely investigated as easy and efficient means to monitor the process mean when observations are from a normal distribution. In this work, a Variable Sampling Interval (VSI) Exponentially Weighted Moving Average (EWMA) median control chart is proposed and studied. The Markov chains are used to calculate the average run length to signal (ARL). A performance comparison with the original EWMA median control chart is made. The numerical results show that the proposed chart is considerably more effective as it is faster in detecting process shifts. Finally, the implementation of the proposed chart is illustrated with an example in food production process.

scholarly journals Economic Design of X̅ Control Chart under Double EWMA

2020 ◽  
Vol 18 (2) ◽  
pp. 2-12
Author(s):  
Manzoor A. Khanday ◽  
J. R. Singh
Keyword(s):  
Optimal Design ◽  
Sample Size ◽  
Control Chart ◽  
Control Charts ◽  
Moving Average ◽  
Sampling Interval ◽  
Economic Design ◽  
Exponentially Weighted Moving Average ◽  
The Cost ◽  
Weighted Moving Average

Designing of parameters plays an important role in economic design of control charts for lowering the cost and time. Manipulating sample size (n) and sampling interval (h), the effect of double exponentially weighted moving average (DEWMA) model was studied for the Economic Design (ED) of X̅ control chart. Optimum sizes and level were obtained when the characteristics of an item possesses DEWMA model. When shifts are uncertain the optimal design for DEWMA chart should be more conservative and should be implemented for benefiting the consumers as well as producers.

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