Model Answer
0 min readIntroduction
Project management often involves dealing with uncertainty in task completion times. While deterministic approaches assume fixed durations, probabilistic techniques acknowledge the inherent variability. The Program Evaluation and Review Technique (PERT) and Critical Path Method (CPM) are widely used tools for planning, scheduling, and controlling projects, especially large and complex ones. Calculating the probability of completing a project within a specified timeframe requires understanding the project’s critical path, the distribution of task durations, and statistical concepts like standard deviation and z-scores. This answer will outline the steps to determine the probability of completing the seminar within 47 working days, given the limitations of the provided information.
Understanding the Problem & Necessary Assumptions
The question asks for the probability of completing a seminar in 47 working days. To address this, we need to make several assumptions due to the lack of detailed project information. These assumptions are crucial for demonstrating the methodology:
- Total Project Duration: We assume the total project duration is the sum of individual task durations.
- Task Dependencies: We assume a clear understanding of task dependencies (which tasks must be completed before others).
- Critical Path: We assume we can identify the critical path – the sequence of tasks that determines the shortest possible project duration.
- Distribution of Task Durations: We assume that individual task durations follow a probability distribution, most commonly a normal distribution or a beta distribution. For simplicity, we will assume a normal distribution.
- Mean and Standard Deviation: We need to estimate the mean (average) and standard deviation for each task duration.
Steps to Calculate the Probability
- Identify Tasks and Dependencies: Break down the seminar preparation into individual tasks (e.g., venue booking, speaker confirmation, material preparation, registration, logistics). Define the dependencies between these tasks.
- Estimate Task Durations: For each task, estimate the most likely duration (m), the optimistic duration (a – best-case scenario), and the pessimistic duration (b – worst-case scenario).
- Calculate Mean and Standard Deviation for Each Task:
- Mean (μ): μ = (a + 4m + b) / 6
- Standard Deviation (σ): σ = (b - a) / 6
- Determine the Critical Path: Using a network diagram (e.g., Activity-on-Node), identify the critical path. The critical path is the longest path through the network, and any delay on a critical path task will delay the entire project.
- Calculate the Mean and Standard Deviation of the Project Duration:
- Mean Project Duration (μp): Sum of the means of the tasks on the critical path.
- Standard Deviation of Project Duration (σp): Square root of the sum of the variances of the tasks on the critical path (σp = √(Σσi2), where σi is the standard deviation of each task on the critical path).
- Calculate the Z-Score: The z-score represents the number of standard deviations away from the mean that the target completion time (47 days) is.
- Z = (Target Completion Time - Mean Project Duration) / Standard Deviation of Project Duration
- Z = (47 - μp) / σp
- Determine the Probability: Use a standard normal distribution table (or a statistical software) to find the probability associated with the calculated z-score. This probability represents the likelihood of completing the project within 47 days. For example, a z-score of 1.645 corresponds to a cumulative probability of 0.95, meaning there is a 95% chance of completing the project within 47 days.
Example Illustration (Simplified)
Let's assume the critical path consists of three tasks with the following characteristics:
| Task | Optimistic (a) | Most Likely (m) | Pessimistic (b) | Mean (μ) | Standard Deviation (σ) |
|---|---|---|---|---|---|
| Task 1 | 5 | 7 | 9 | 7 | 1.67 |
| Task 2 | 8 | 10 | 12 | 10 | 1.67 |
| Task 3 | 3 | 5 | 7 | 5 | 1.67 |
Mean Project Duration (μp) = 7 + 10 + 5 = 22 days
Standard Deviation of Project Duration (σp) = √(1.672 + 1.672 + 1.672) = √8.33 = 2.89 days
Z = (47 - 22) / 2.89 = 7.27
Looking up a Z-score of 7.27 in a standard normal distribution table, the probability is extremely close to 1 (or 100%). This indicates a very high probability of completing the project within 47 days, given these assumed task durations.
Conclusion
Calculating the probability of completing the seminar within 47 days requires a detailed project breakdown, accurate estimation of task durations, and application of probabilistic project management techniques like PERT/CPM. While the provided information is limited, the outlined methodology demonstrates the necessary steps. The accuracy of the probability estimate heavily relies on the quality of the input data and the validity of the assumptions made regarding task distributions. Further refinement would involve sensitivity analysis to understand the impact of variations in task durations on the overall project completion probability.
Answer Length
This is a comprehensive model answer for learning purposes and may exceed the word limit. In the exam, always adhere to the prescribed word count.