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Resource Loading & Leveling Flashcards

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  1. Which resource leveling technique delays non-critical activities within their float to reduce peak resource demand?

    Answer: Resource smoothing

    Resource smoothing shifts activities within existing float without extending the project end date.

  2. A resource histogram shows a technician allocated at 140% for two consecutive weeks. What does this represent?

    Answer: Resource over-allocation requiring resolution

    Allocation exceeding 100% indicates over-allocation, which must be resolved through leveling or smoothing.

  3. What is the primary difference between resource-limited and time-limited scheduling?

    Answer: Resource-limited fixes resources and may extend duration; time-limited fixes duration and may exceed resources

    Resource-limited scheduling keeps resource usage within constraints, potentially extending the schedule, while time-limited scheduling preserves the end date.

  4. Which metric on a resource loading table indicates the cumulative hours a resource is assigned across all activities?

    Answer: Total resource demand

    Total resource demand sums all assigned hours across every activity for a given resource.

  5. When applying resource leveling on the critical path, what is the most likely consequence?

    Answer: The project end date is extended

    Leveling critical path activities has no float to absorb the shift, so the project completion date moves later.

  6. A project has three parallel tasks each requiring 4 workers for 2 weeks. The organization has only 8 workers available. What leveling action is most appropriate?

    Answer: Sequence the tasks to stay within the 8-worker limit, extending the schedule

    Sequencing tasks so no more than two run in parallel keeps demand at or below 8 workers, though it extends duration.

  7. In resource loading analysis, what does an 'S-curve' of cumulative resource hours typically represent?

    Answer: Slow start, peak in mid-project, and tapering at close

    Cumulative resource usage typically follows an S-curve: slow ramp-up, rapid acceleration through execution, then tapering during closeout.