Effet de l'optimisation de la chaîne logistique sur l'agilité des ...
Effet de l'optimisation de la chaîne logistique sur l'agilité des ...
Effet de l'optimisation de la chaîne logistique sur l'agilité des ...
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Depen<strong>de</strong>nt Variable: R<br />
Source DF<br />
Mo<strong>de</strong>l 13<br />
Error 18<br />
Gorrected Total 31<br />
The SAS System<br />
16:42 Wednesday, January 29,2003<br />
G<strong>la</strong>ss<br />
PROD1<br />
SU1<br />
EMB1<br />
PROD2<br />
SU2<br />
EMB2<br />
PROD3<br />
SU3<br />
EMB3<br />
PROD4<br />
SU4<br />
EMB4<br />
AME<br />
The ANOVA Procedure<br />
G<strong>la</strong>ss Level Information<br />
Levels<br />
2<br />
2<br />
2<br />
2<br />
2<br />
2<br />
2<br />
2<br />
2<br />
2<br />
2<br />
2<br />
2<br />
Number of observations 32<br />
Sum of Squares<br />
1.6188448E13<br />
101485436854<br />
1.6289934E13<br />
R-Square Goeff Var Root MSE R Mean<br />
0.993770 2.655629 75087.15 2827471<br />
Values<br />
1 2<br />
1 2<br />
1 2<br />
1 2<br />
1 2<br />
1 2<br />
1 2<br />
1 2<br />
1 2<br />
1 2<br />
1 2<br />
1 2<br />
1 2<br />
Mean Square F Value<br />
1.2452653E12 220.87,<br />
5638079825.2<br />
Source DF Anova SS Mean Square F Value<br />
PROD1 1 63767257920 63767257920 11 .31<br />
SU1 1 347273246.53 347273246.53 0.06<br />
EMB 1 1 106283205463 106283205463 18.85<br />
PROD2 1 3.2192381E12 3.2192381E12 570.98<br />
SU2 1 102089294626 102089294626 18.11<br />
EMB2 1 4.8059293E12 4.8059293E12 852.41<br />
PROD3 1 69659927454 69659927454 12.36<br />
SU3 1 9470492344.5 9470492344.5 1.68<br />
EMB3 1 443681764500 443681764500 78.69<br />
PROD4 1 1.992267E12 1.992267E12 353.36<br />
SU4 1 45554975629 45554975629 8.08<br />
EM B4 1 104614355466 104614355466 18.55<br />
AME 1 5.2255456E12 5.2255456E12 926.83<br />
Figure 30. Résultat Anova transports directs<br />
Pr> F<br />
F<br />
0.0035<br />
0.8068<br />
0.0004<br />
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