An improved multiple quality characteristic analysis chart for simultaneous monitoring of process mean and variance of steering knuckle pin for green manufacturing

2021 ◽  
pp. 1-12
Author(s):  
Chun-Ming Yang
Keyword(s):  
Green Manufacturing ◽  
Quality Characteristic ◽  
Characteristic Analysis ◽  
Process Mean ◽  
Mean And Variance

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

A new SPRT chart for monitoring process mean and variance

2011 ◽  
Vol 132 (2) ◽  
pp. 303-314 ◽  
Author(s):  
Yanjing Ou ◽  
Zhang Wu ◽  
Thong Ngee Goh
Keyword(s):  
Process Mean ◽  
Monitoring Process ◽  
Mean And Variance

Optimal control of production with improvement

2018 ◽  
Vol 232 (6) ◽  
pp. 777-785
Author(s):  
Nobuyuki Tamura
Keyword(s):  
Optimal Control ◽  
State Space Model ◽  
Sufficient Conditions ◽  
Control Policy ◽  
Quality Characteristic ◽  
Process Mean ◽  
Initial Value ◽  
Target Value ◽  
The Relationship ◽  
Asymmetric Function

This article considers a process that produces items and in which the process mean is observed periodically. We use a state-space model to describe the relationship between the process mean and the quality characteristic of the items. At each observation, one of the following actions can be taken: production, repair, replacement, or improvement. When production is chosen, some number of items are produced. The quality characteristic of the items has a target value, and the quality loss is expressed by an asymmetric function of the deviation of the quality characteristic from the target value. Replacement resets the process mean to an initial value. When improvement is selected, the process mean is returned to the same initial value as in replacement. When improvement is repeated, it becomes less likely that the process mean will increase. There are several kinds of repairs, and each repair returns the process mean to some value greater than the initial value. For this model, we obtain a total expected discount cost for an unbounded horizon, and we show that under several reasonable assumptions, a control-limit policy is optimal. Furthermore, we derive the sufficient conditions to ensure that the optimal control policy has monotonic structures.

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