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Design of Experiments

|phone: |0811166866 | | | | |email: |Suparman_i@yahoo.com | |Office: |Pascasarjana UNINDRA | |Office Hours: |Jumat Saptu | | | | |Text: |Design and Analysis of Experiments | | |By Montgomery | | | |


• Konsep Definisi

• Exp with a Single Factor: ANOVA (Ch: 3)

• Randomized Bloks (Ch: 4)

• Latin Square (Ch: 4)

• Factorial Design (Ch:5)

• Two level Fractional Factorial Design (Ch:8)

• Taguchi approach

Final Grade Based on the Following
|Homework |20% | |Presentation and Related Paper |35% | |Take Home or Final Exam (Simulation) |45% |


Fifth Edition

Douglas C. Montgomery


Pengantar oleh Dr. Suparman IA, MSc.

Sistim/ Model


|[pic] |Experiments | | |With a Single | | |Factor: The Analysis | | |of Variance |

In Chapter 2 we discussed methods for comparing two conditions or treatments. For example, the Portland cement tension bond experiment involved two different mortar formulations. Another way to describe this experiment is as a single-factor experiment with two levels of the factor, where the factor is mortal formulation and the two levels are two different formulation methods. Many experiments of this type involve more than two levels of the factor. In this chapter we present methods for the design and analysis of single-factor experiments wit a levels of the factor (or a treatments). We will assume that the experiment has been completely randomized.

A product development engineer is interested in investigating the tensile strength of a new synthetic fiber that will be used to make cloth for men’s shirts. The engineer knows from previous experience that the strength is affected by the weight percent of cotton used in the blend of materials for the fiber. Furthermore, she suspects that increasing the cotton content will increase the strength, at least initially. She also knows that cotton content should range between about 10 and 40 percent if the final product is to have other quality characteristics that are desired (such as the ability to take a permanent-press finishing treatment). The engineer decides to test specimens at five levels of cotton weight percent: 15, 20, 25, 30, and 35 percent. She also decides to test five specimens at each level of cotton content. This is an example of a single-factor experiment with a = 5 levels of the factor and n = 5 replicates. The 25 runs should be made in random order. To illustrate how the run order may be randomized, suppose that we number the runs as follows: |Cotton Weight | | |Percentage | | | |Experiment Run Number | |15 |1...
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