Parametric analysis by assessing the fractional change

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Reference no: EM1316322

A construction company assesses the uncertainty in the return, i.e., gross margins (G), of a project as follows:

G = P - C

Where P = price and C = cost. The cost is estimated as follows:

C =F1C1 + F2 C2 + F1 F2 C3

Where Ci = cost component i, and Fi = cost-influencing factor i. The price is estimated as follows:

P = M1M2M3Pb

Where Pb = base price, and i M = price-influencing multiplier i. These random variables are further defined in Table 1.

The failure probability (Pf ) can be determined as follows:

Pf = P (G≤0) = P (P≤C)

Table: Random Variables and their Probabilistic Characteristics ($ in millions)

Parameter

Description

Mean

CoefficientofVariation

DistributionType

C1

Materials cost component

$10

0.10

Lognormal

C2

Labor cost component

$8

0.12

Lognormal

C3

Subcontracting cost component

$4

0.05

Normal

F1

Materials cost-influencing factor

1

0.10

Lognormal

F2

Labor cost-influencing factor

1.1

0.15

Normal

Pb

Base price

$30

N/A

Deterministic

M1

Competition price-influencing multiplier

0.95

N/A

Deterministic

M2

Customer-history price-influencing multiplier

0.98

N/A

Deterministic

M3

Change-order price-influencing multiplier

1.05

0.10

Lognormal

Perform a parametric analysis by assessing the fractional change in the probability of failure with respect to a small change in the mean and standard deviation of selected variable.

Reference no: EM1316322

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