Question: Washing Process

The additional weight acquired by the filter represents the amount of dirt not removed by the

cleaning system, but removed by the solvent.

This difference is called "waste", and is the result of the inefficiency of the washing process.

If the process was 100% effective, the residue in the solvent should be zero!

The less waste there is, the better the cleaning process.

We want to know how much waste is affected by 3 factors "X's"

• Water temperature

• Time of exposure to the jet (determined by the speed of the conveyor)
• Concentración (del detergente del sistema de lavado)

Table of factors "X's" and their levels

So the factors were established

"X's" and their levels, what are the

possible combinations?

So we have 3 factors in 2 levels, so we will have 2

3 = 8 possible combinations

The "Project Team" decided to execute 5 replicates in each treatment due to the

high cost of replications.

Remember that replicating means having to modify the process settings after

each treatment

Residual measurement was done for each sample.

The table is called Experimental Planning.

Displays the level of each "X" factor for each treatment (combination).

As this table contains all possible combinations among the 3 variables, it is also

called Full Factorial Arrangement.

The sequence of combinations (1 to 8) with the levels defined in the way they are

presented is called Padrón Order.

This order only appears when we remove the Randomize runs.

Solid Waste

Please Make a = Calc > Row Statistics > Standard deviation

Now you can build the 3 types of DOE graphics

Main Effects Chart

Interaction Graph

Cube chart

Stat> DOE> Factorial> Factorial Plots

create Chart of Main Effects as the one below

From this graph we can conclude:

The temperature has the greatest effect on the medium residue

The higher the temperature the better (less residue)

Concentration has little effect on the Medium Residue.

The longer the time, the better

Also Create Graph of Interactions for the mean residue and interpret each

quadrant in isolation

Graph of Interactions

Temperature x Time

Graph of Interactions

Temperature x Concentration

Graph of Interactions

Time x Concentration

Cube chart

The worst combination of levels of the two

factors is: Average Residue = 64.8

Short time

Warm temperature

Low concentration

The best combination of levels of

factors is: Mean Residue = 42.8

Long time

HOT TEMPERATURE

Low concentration

We perceive that all

values ​​of Average Residue

right side face are more

low and quite close

Also Create Graphic of the Main Effects

Graph of Interactions

For Std Deviation and What can you say

of this chart, analyze each

quadrant separately.

Numerical analysis

Stat> DOE> Factorial> Analyze Factorial Designs

Pareto of Effects

Stat > DOE > Factorial > Analyze Factorial Designs

Price: $2.99

Solution: The downloadable solution consists of 15 pages
Deliverable: Word Document