Model Answer
0 min readIntroduction
Project management is a critical discipline for organizations like Quick Industries, ensuring the efficient and timely completion of complex undertakings such as the installation of a new computer system. Techniques like PERT (Program Evaluation and Review Technique) are indispensable tools for planning, scheduling, and controlling such projects, especially when activity durations are uncertain. By incorporating optimistic, most likely, and pessimistic time estimates, PERT provides a probabilistic framework to assess project completion times, identify critical activities, and manage associated risks, thereby facilitating informed decision-making and resource allocation.
Understanding PERT Calculations
PERT (Program Evaluation and Review Technique) is a project management tool used to schedule, organize, and coordinate tasks within a project. It is particularly useful for projects where the time required to complete individual activities is uncertain. The core of PERT involves estimating three time durations for each activity:
- Most Optimistic Time (a): The shortest possible time in which an activity can be completed, assuming everything goes exceptionally well.
- Most Likely Time (m): The most probable time required to complete an activity under normal conditions.
- Most Pessimistic Time (b): The longest possible time an activity might take if unforeseen difficulties arise.
From these estimates, the expected time (Te) and variance (σ²) for each activity are calculated using the following formulas:
- Expected Time (Te) = (a + 4m + b) / 6
- Variance (σ²) = ((b - a) / 6)²
(i) Network Diagram, Critical Path, and Expected Project Completion Time
First, let's calculate the expected time (Te) and variance (σ²) for each activity:
| Activity | a | m | b | Te = (a + 4m + b) / 6 | Variance (σ²) = ((b - a) / 6)² |
|---|---|---|---|---|---|
| A | 5 | 7 | 9 | (5 + 4*7 + 9) / 6 = 42 / 6 = 7 | ((9 - 5) / 6)² = (4 / 6)² = (2/3)² = 0.44 |
| B | 6 | 8 | 16 | (6 + 4*8 + 16) / 6 = 54 / 6 = 9 | ((16 - 6) / 6)² = (10 / 6)² = (5/3)² = 2.78 |
| C | 5 | 9 | 13 | (5 + 4*9 + 13) / 6 = 54 / 6 = 9 | ((13 - 5) / 6)² = (8 / 6)² = (4/3)² = 1.78 |
| D | 16 | 21 | 26 | (16 + 4*21 + 26) / 6 = 126 / 6 = 21 | ((26 - 16) / 6)² = (10 / 6)² = (5/3)² = 2.78 |
| E | 11 | 19 | 27 | (11 + 4*19 + 27) / 6 = 114 / 6 = 19 | ((27 - 11) / 6)² = (16 / 6)² = (8/3)² = 7.11 |
| F | 9 | 10 | 17 | (9 + 4*10 + 17) / 6 = 66 / 6 = 11 | ((17 - 9) / 6)² = (8 / 6)² = (4/3)² = 1.78 |
| G | 5 | 9 | 13 | (5 + 4*9 + 13) / 6 = 54 / 6 = 9 | ((13 - 5) / 6)² = (8 / 6)² = (4/3)² = 1.78 |
| H | 2 | 3 | 4 | (2 + 4*3 + 4) / 6 = 18 / 6 = 3 | ((4 - 2) / 6)² = (2 / 6)² = (1/3)² = 0.11 |
| I | 7 | 8 | 9 | (7 + 4*8 + 9) / 6 = 48 / 6 = 8 | ((9 - 7) / 6)² = (2 / 6)² = (1/3)² = 0.11 |
Network Diagram:
The network diagram illustrates the sequence of activities and their dependencies. Each node represents an event, and arrows represent activities.
Start --> A (7) --> B (9) --> D (21) --> H (3) --> I (8) --> End
| | /
| | /
| --> E (19) --> G (9) --> I (8)
| ^
--> C (9) --> F (11) --------
Paths and their Durations:
We need to identify all possible paths from start to end and calculate their total expected durations:
- Path 1: A-B-D-H-I
- Duration = Te(A) + Te(B) + Te(D) + Te(H) + Te(I) = 7 + 9 + 21 + 3 + 8 = 48 days
- Variance = Var(A) + Var(B) + Var(D) + Var(H) + Var(I) = 0.44 + 2.78 + 2.78 + 0.11 + 0.11 = 6.22
- Path 2: A-B-E-G-I
- Duration = Te(A) + Te(B) + Te(E) + Te(G) + Te(I) = 7 + 9 + 19 + 9 + 8 = 52 days
- Variance = Var(A) + Var(B) + Var(E) + Var(G) + Var(I) = 0.44 + 2.78 + 7.11 + 1.78 + 0.11 = 12.22
- Path 3: A-C-F-H-I
- Duration = Te(A) + Te(C) + Te(F) + Te(H) + Te(I) = 7 + 9 + 11 + 3 + 8 = 38 days
- Variance = Var(A) + Var(C) + Var(F) + Var(H) + Var(I) = 0.44 + 1.78 + 1.78 + 0.11 + 0.11 = 4.22
Critical Path and Expected Project Completion Time:
The Critical Path is the longest path through the network, determining the minimum time required to complete the project. From the calculations above:
- Path 1: 48 days
- Path 2: 52 days
- Path 3: 38 days
The longest path is A-B-E-G-I with an expected duration of 52 days.
Therefore, the Critical Path is A-B-E-G-I, and the Expected Project Completion Time (Te_project) is 52 days.
The variance of the critical path (σ²_project) = 12.22
The standard deviation of the critical path (σ_project) = sqrt(12.22) ≈ 3.496 days.
(ii) Probability that the project will be completed in 61 days
To calculate this probability, we use the Z-score formula, assuming the project completion time follows a normal distribution:
Z = (Ts - Te_project) / σ_project
Where:
- Ts = Target completion time = 61 days
- Te_project = Expected project completion time = 52 days
- σ_project = Standard deviation of the critical path = 3.496 days
Z = (61 - 52) / 3.496 = 9 / 3.496 ≈ 2.574
Now, we need to find the probability associated with a Z-score of 2.574 from the standard normal distribution table. (Using a standard Z-table or calculator, the cumulative probability for Z = 2.57 is approximately 0.9949 or 99.49%).
Therefore, the probability that the project will be completed in 61 days is approximately 99.49%.
(iii) When the company wants to be 95% sure that the system will be installed by a certain date, how many days prior to that should it start the work?
This question asks for the target completion time (Ts) such that there is a 95% probability of project completion. First, we need to find the Z-score corresponding to a 95% cumulative probability (0.95) from the standard normal distribution table. For a cumulative probability of 0.95, the Z-score is approximately 1.645.
Now, we use the Z-score formula rearranged to solve for Ts:
Ts = Te_project + Z * σ_project
Where:
- Te_project = 52 days
- Z = 1.645
- σ_project = 3.496 days
Ts = 52 + 1.645 * 3.496
Ts = 52 + 5.751 ≈ 57.751 days
Rounding up to the next whole day to ensure 95% certainty, the project should be scheduled for approximately 58 days.
Therefore, to be 95% sure that the system will be installed by a certain date, Quick Industries should plan to start the work approximately 58 days prior to that desired completion date.
Conclusion
The application of PERT has enabled Quick Industries to gain valuable insights into their new computer system installation project. By identifying the critical path (A-B-E-G-I) with an expected completion time of 52 days, the company can effectively focus resources and monitoring efforts on these crucial activities. Furthermore, understanding the probabilistic nature of project completion allows for proactive risk management, demonstrated by the high probability of finishing within 61 days and the calculation of a 58-day schedule for 95% certainty, providing a robust framework for planning and execution.
Answer Length
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