Optimal Production Run for a Normally Distributed Quality Characteristic Exhibiting Non-Negative Shifts in Process Mean and Variance

1982 ◽  
Vol 14 (2) ◽  
pp. 90-98 ◽  
Author(s):  
F. J. Arcelus ◽  
P. K. Banerjee ◽  
Ramesh Chandra
Keyword(s):  
Quality Characteristic ◽  
Process Mean ◽  
Optimal Production ◽  
Production Run ◽  
Mean And Variance ◽  
Normally Distributed

DETERMINATION OF AN OPTIMAL SETTING AND PRODUCTION RUN USING TAGUCHI'S LOSS FUNCTION

1999 ◽  
Vol 06 (04) ◽  
pp. 335-346 ◽  
Author(s):  
T. P. M. PAKKALA ◽  
M. A. RAHIM
Keyword(s):  
Loss Function ◽  
Continuous Production ◽  
Quadratic Loss ◽  
Process Mean ◽  
Optimal Production ◽  
Production Run ◽  
Optimal Setting ◽  
Random Shocks ◽  
Product Output ◽  
Taguchi’S Loss Function

This paper considers the problem of selecting an optimal setting of the process mean and an optimal production run for a continuous production process. The process is subject to gradual shifts in the process mean due to occurrences of some random shocks. The product output becomes nonconforming only when the process experiences a certain number of accumulated shocks. The changes in the process mean are assumed to follow a nonhomogeneous Poisson process. A quadratic loss function, which is a general form of Taguchi's loss function, is utilized for developing the economic model in determining an initial resetting process mean and an optimal production run. Some new results are derived and some interesting findings are reported.

On Valid Signals in Joint Schemes for the Process Mean and Variance

2015 ◽  
Vol 30 (2) ◽  
Author(s):  
Tânia Ralha ◽  
Manuel Cabral Morais ◽  
M. Rosário Oliveira
Keyword(s):  
Systematic Study ◽  
Quality Characteristic ◽  
Process Mean ◽  
Mean And Variance

AbstractJoint schemes for the process mean and the variance are essential to determine if unusual variation in the location and spread of a quality characteristic occurred. This paper comprises a systematic study on the phenomena of

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