To analyze the impact of decreasing the expected time for task D on the crashing solution, we need to know the normal cost, crash cost, and the normal and crash times for all tasks. However, I'll provide a general explanation of how to approach this problem. 1. Identify the activities to crash: The activities to crash are those that will result in the greatest reduction in project time for the least increase in cost. This is typically calculated as the cost per time saved (Crash Cost - Normal Cost) / (Normal Time - Crash Time). The activity with the lowest cost per time saved is crashed first. 2. Calculate the expected project time and associated costs: After identifying the activities to crash, recalculate the project time and cost. The new project time is the longest path through the network (critical path) after crashing the selected activities. The new project cost is the sum of the costs of all activities, considering the increased cost of the crashed activities. 3. Repeat steps 1 and 2: Continue this process, crashing the next most cost-effective activity, until the desired project time (6 weeks in this case) is reached. 4. Plot the crashing cost curve