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The Critical Path for This Network Is a - E

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The critical path for this network is A - E - F and the project completion time is 22 weeks.  The critical path for this network is A - E - F and the project completion time is 22 weeks.    \begin{array} { c c c c r }  \text { Activity } & \begin{array} { c }  \text { Normal } \\ \text { Time } \end{array} & \begin{array} { c }  \text { Crash } \\ \text { Time } \end{array} & \begin{array} { c }  \text { Normal } \\ \text { Cost } \end{array} & \begin{array} { c }  \text { Crash } \\ \text { Cost } \end{array} \\ \hline \text { A } & 12 & 8 & 8,000 & 12,000 \\ \text { B } & 14 & 10 & 5,000 & 7,500 \\ \text { C } & 8 & 8 & 10,000 & 10,000 \\ \text { D } & 5 & 3 & 6,000 & 8,000 \\ \text { E } & 4 & 3 & 5,000 & 7,000 \\ \text { F } & 6 & 5 & 9,000 & 12,000 \\ \text { G } & 10 & 8 & 5,000 & 8,000 \end{array}  If a deadline of 17 weeks is imposed,give the linear programming model for the crashing decision.  Activity  Normal  Time  Crash  Time  Normal  Cost  Crash  Cost  A 1288,00012,000 B 14105,0007,500 C 8810,00010,000 D 536,0008,000 E 435,0007,000 F 659,00012,000 G 1085,0008,000\begin{array} { c c c c r } \text { Activity } & \begin{array} { c } \text { Normal } \\\text { Time }\end{array} & \begin{array} { c } \text { Crash } \\\text { Time }\end{array} & \begin{array} { c } \text { Normal } \\\text { Cost }\end{array} & \begin{array} { c } \text { Crash } \\\text { Cost }\end{array} \\\hline \text { A } & 12 & 8 & 8,000 & 12,000 \\\text { B } & 14 & 10 & 5,000 & 7,500 \\\text { C } & 8 & 8 & 10,000 & 10,000 \\\text { D } & 5 & 3 & 6,000 & 8,000 \\\text { E } & 4 & 3 & 5,000 & 7,000 \\\text { F } & 6 & 5 & 9,000 & 12,000 \\\text { G } & 10 & 8 & 5,000 & 8,000\end{array} If a deadline of 17 weeks is imposed,give the linear programming model for the crashing decision.


Definitions:

One-sample Z-test

A statistical test used to determine whether the mean of a sample significantly differs from a known or hypothesized population mean.

Possible Means

The various average values that could be calculated from different subsets or populations of data.

Standard Error

A statistical measure that quantifies the accuracy with which a sample mean represents the population mean, often used in inferential statistics.

Null Hypothesis

The default assumption in statistical testing that there is no effect or no difference, aiming to be either rejected or not rejected based on the data analysis.

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