AI Integration and Culminating Workshop - Worked Examples

The project team is preparing the initial CPM network for a $5$ km canal construction project. The raw activity table is fed into an AI tool to check for missing logical links.

During a schedule update for a siphon installation, the contractor submits a revised activity list that accidentally links curing time back to formwork installation.

The calculated CPM schedule shows a $45$-day critical path flowing through Survey $\rightarrow$ Clearing $\rightarrow$ Excavation $\rightarrow$ Concrete Lining $\rightarrow$ Curing. The Project Engineer needs a concise paragraph for the weekly management meeting.

The CPM calculation reveals that "Installation of Turnout Gates" has $15$ days of total float.

A PERT analysis for "Canal Excavation" yields an expected duration ($t_e$) of $22$ days, but with a highly pessimistic estimate ($t_p$) of $35$ days due to expected heavy rains.

The end-of-month S-Curve shows a planned accomplishment of $40\%$ but an actual accomplishment of only $32\%$ (a negative slippage of $8\%$).

To recover the $8\%$ slippage, the contractor proposes to "crash" the schedule by adding a night shift for concrete lining.

The following month, the S-Curve shows planned progress at $50\%$ and actual progress at $55\%$ (positive slippage). However, quality control reports show an increase in rejected concrete batches.

The schedule shows three critical earthmoving activities occurring simultaneously in Week 4, requiring $12$ excavators. The contractor only owns $8$.

At the end of the workshop, participants must combine CPM, PERT, and S-Curve findings into a final project review report for the main canal project.