Q1.
You are producing decaffeinated coffee using supercritical carbon dioxide as a solvent. To optimize the effectiveness of caffeine removal, you would like to test 2 different possible pressures of CO2, 3 possible temperatures, 3 ratios of CO2 to coffee beans, 3 residence times of supercritical CO2 with beans, and 2 different procedures for preroasting the beans prior to caffeine extraction. What is the most appropriate method to design your optimization experiments?
A. Factorial design
B. Taguchi methods
C. Random design
D. None of the above. Coffee should never be decaffeinated.
Q2.
Which of the following is inconsistent with the Taguchi philosophy of quality control?
A. Variation is the opposite of quality
B. Interactions between parameters affecting product quality are unimportant and should never be considered
C. Customer dissatisfaction is the most important measure for process variation, and should be minimized
D. A high signal to noise ratio (SN) should be present in a process to make it robust against uncontrollable factors that would cause variation.
Q3.
The objective of the experiment is to find settings of predetermined control factors that simultaneously maximize the adhesiveness (pull-off force) and minimize the assembly costs of nylon tubing.
Signal and Noise Factors
|
Factor Name |
Type |
Levels |
Comment |
|
Interfer |
control |
3 |
tubing and connector interference |
|
Wall |
control |
3 |
the wall thickness of the connector |
|
Depth |
control |
3 |
insertion depth of the tubing into the connector |
|
Adhesive |
control |
3 |
percent adhesive |
|
Time |
noise |
2 |
the conditioning time |
|
Temperature |
noise |
2 |
temperature |
|
Humidity |
noise |
2 |
the relative humidity |
Complete Taguchi Design Table
SHAMSUL SARIP 