Optimum Pooling Level And Factors Identification in Product Prototyping

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Optimum Pooling Level And Factors Identification in Product Prototyping
Massimo De Falco
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Exhibit 8. Matrix of experiment for the PF] case with the results.
O B S E R V A T.
1 ARCHITECTURE A T^ pel Typen 1 B 1. 1 Zi lb 2b C 1 2 1 2 1 2 ' 1 ^ 1 1 0. 73 0. 81 065 065 44 0. 62 0. 39 0. 55 0. 94 082 081 091 068 0. 60 0. 57 0. 68 1 0. 72 1 067 075 1 0. 75 058 0. 66 0. 53 | 0. 68 1 0. 55 1 0. 71 0. 57 1 062 0. 47 0. 40 040 1 0. 43 1 Dl D2 D3 1 1 2 m Z n 1 2 2 2 The experiment was conducted with fixed factor level and a randomized trials technique, which means that all factors were kept at
... the defined levels and 14 the sequence of the runs was random [Montgomery D. C. , 1984]. The randomization of the trials is an argued point, because, against the common perception, randomization is very exper\sive and the tendency to conduct the group)ed runs often compromises the quality of the experiment [Pignatiello J-Jv 1992].
The Pooling Technique The analysis was started assuming negligible three factor interactions and this is already a form of effects pooling even if it does not appear in the initial Anova tables.


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