fundamentals of engineering supplied-reference handbook - Ventech!
fundamentals of engineering supplied-reference handbook - Ventech!
fundamentals of engineering supplied-reference handbook - Ventech!
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PERT<br />
(aij, bij, cij) = (optimistic, most likely, pessimistic)<br />
durations for activity (i, j),<br />
µij = mean duration <strong>of</strong> activity (i, j),<br />
σij = standard deviation <strong>of</strong> the duration <strong>of</strong> activity (i, j),<br />
µ = project mean duration, and<br />
σ = standard deviation <strong>of</strong> project duration.<br />
( )<br />
∑ σ<br />
( ) = σ<br />
aij<br />
+ 4bij<br />
+ cij<br />
µ ij =<br />
6<br />
cij<br />
− aij<br />
σij<br />
=<br />
6<br />
µ = ∑ µ ij<br />
i,<br />
j ∈CP<br />
2<br />
2<br />
ij<br />
i,<br />
j ∈CP<br />
Source <strong>of</strong> Variation<br />
Degrees <strong>of</strong><br />
Freedom<br />
196<br />
TAYLOR TOOL LIFE FORMULA<br />
VT n = C, where<br />
V = speed in surface feet per minute,<br />
INDUSTRIAL ENGINEERING (continued)<br />
T = time before the tool reaches a certain percentage <strong>of</strong><br />
possible wear, and<br />
C, n = constants that depend on the material and on the<br />
tool.<br />
WORK SAMPLING FORMULAS<br />
( 1−<br />
p)<br />
p<br />
D = Zα<br />
2<br />
and R = Zα<br />
n<br />
p = proportion <strong>of</strong> observed time in an activity,<br />
D = absolute error,<br />
R = relative error (R = D/p), and<br />
n = sample size.<br />
ONE-WAY ANOVA TABLE<br />
Sum <strong>of</strong><br />
Squares<br />
Between Treatments k – 1 SSTreatments<br />
Error N – k SSError<br />
Total N – 1 SSTotal<br />
Source <strong>of</strong> Variation<br />
Degrees <strong>of</strong><br />
Freedom<br />
TWO-WAY ANOVA TABLE<br />
Sum <strong>of</strong><br />
Squares<br />
Between Treatments k – 1 SSTreatments<br />
Between Blocks n – 1 SSBlocks<br />
Error (k–1)(n–1) SSError<br />
Total N – 1 SSTotal<br />
Mean Square F<br />
SS<br />
MST =<br />
k −1<br />
Treatments<br />
SS Error<br />
MSE =<br />
N − k<br />
MST<br />
MSE<br />
Mean Square F<br />
SS<br />
MST =<br />
k −1<br />
Treatments<br />
SS<br />
MSB =<br />
n −1<br />
Blocks<br />
SSError<br />
MSE =<br />
(k −1)(n<br />
−1<br />
)<br />
MST<br />
MSE<br />
MSB<br />
MSE<br />
2<br />
1−<br />
p<br />
, where<br />
pn