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Project Scheduling Probabilistic PERT.

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Presentation on theme: "Project Scheduling Probabilistic PERT."— Presentation transcript:

1 Project Scheduling Probabilistic PERT

2 PERT Probability Approach to Project Scheduling
Activity completion times are seldom known with cetainty. PERT is a technique that treats activity completion times as random variables. Completion time estimates can be estimated using the Three Time Estimate approach. In this approach, three time estimates are required for each activity: Results from statistical studies Subjective best estimates a = an optimistic time to perform the activity P(Finish < a) < .01 m = the most likely time to perform the activity (mode) b = a pessimistic time to perform the activity P(Finish > b) < .01

3 3-Time Estimate Approach Probability Distribution
With three time estimates, the activity completion time can be approximated by a Beta distribution. Beta distributions can come in a variety of shapes: m m m b a a b a b

4 Mean and Standard Deviation for Activity Completion Times
The best estimate for the mean is a weighted average of the three time estimates with weights 1/6, 4/6, and 1/6 respectively on a, m, and b. Since most of the area is with the range from a to b (b-a), and since most of the area lies 3 standard deviations on either side of the mean (6 standard deviations total), then the standard deviation is approximated by Range/6.

5 PERT Assumptions Assumption 1 Assumption 2 Assumption 3
A critical path can be determined by using the mean completion times for the activities. The project mean completion time is determined solely by the completion time of the activities on the critical path. Assumption 2 There are enough activities on the critical path so that the distribution of the overall project completion time can be approximated by the normal distribution. Assumption 3 The time to complete one activity is independent of the completion time of any other activity.

6 The Project Completion Time Distribution
The three assumptions imply that the overall project completion time is normally distributed, with:  = Sum of the ’s on the critical path 2 = Sum of the 2 ’s on the critical path

7 The Probability Approach
(76 + 4(86) +120)/6 (120-76)/6 (7.33)2

8 Distribution For Klone Computers
The project has a normal distribution. The critical path is A-F-G-D-J. 194 85.66 9.255

9 Standard Probability Questions
What is the probability the project will be finished within 194 days? P(X < 194) Give an interval within which we are 95% sure of completing the project. X values, xL, the lower confidnce limit, and xU, the upper confidnce limit, such that P(X<xL) = .025 and P(X>xU) = .025 What is the probability the project will be completed within 180 days? P(X < 180) What is the probability the project will take longer than 210 days. P(X > 210) By what time are we 99% sure of completing the project? X value such that P(X < x) = .99

10 Excel Solutions NORMDIST(194, 194, 9.255, TRUE)
NORMINV(.025, 194, 9.255) NORMINV(.975, 194, 9.255) NORMDIST(180, 194, 9.255, TRUE) 1 - NORMDIST(210, 194, 9.255, TRUE) NORMINV(.99, 194, 9.255)

11 Using the PERT-CPM Template for Probabilistic Models
Instead of calculating µ and  by hand, the Excel template may be used. Instead of entering data in the µ and  columns, input the estimates for a, m , and b into columns C, D, and E. The template does all the required calculations After the problem has been solved, probability analyses may be performed.

12 Go to PERT OUTPUT worksheet
Enter a, m, b instead of  Call Solver Click Solve Go to PERT OUTPUT worksheet

13 Call Solver Click Solve

14 To get a cumulative probability, enter a number here

15 P(Project is completed in less than 180 days)

16 Cost Analysis Using the Expected Value Approach
Spending extra money, in general should decrease project duration. But is this operation cost effective? The expected value criterion can be used as a guide for answering this question.

17 Cost Analyses Using Probabilities
Suppose an analysis of the competition indicated: If the project is completed within 180 days, this would yields an additional profit of $1 million. If the project is completed in 180 days to 200 days, this would yield an additional profit of $400,000.

18 KLONE COMPUTERS - Cost analysis using probabilities
Completion time reduction can be achieved by additional training. Two possible activities are being considered. Sales personnel training: (Activity H) Cost $200,000; New time estimates are a = 19, m= 21, and b = 23 days. Technical staff training: (Activity F) Cost $250,000; New time estimates are a = 12, m = 14, and b = 16. Which, if either option, should be pursued?

19 Analysis of Additional Sales Personnel Training
Sales personnel training (Activity H) is not a critical activity. Thus any reduction in Activity H will not affect the critical path and hence the distribution of the project completion time. This option should not be pursued at any cost.

20 Analysis of Additional Technical Staff Training
Technical Staff Training (Activity F) is on the critical path so this option should be analyzed. One of three things will happen: The project will finish within 180 days: Klonepalm will net an additional $1 million The project will finish in the period from 180 to 200 days Klonepalm will net an additional $400,000 The project will take longer than 200 days Klonepalm will not make any additional profit.

21 The Expected Value Approach
Find the P(X < 180), P(180 < X < 200), and P(X > 200) under the scenarios that No additional staff training is done Additional staff is done For each scenario find the expected profit: Subtract the two expected values If the difference is less than the cost of the training, do not perform the additional training. Caution: These are expected values (long run average values). But this approach serves as a good indicator for the decision maker to consider. Expected Additional Profit (P(X<180)) (P(180<X<200)) + 0(P(X>200))

22 This is less than the $250,000 required for training.
The Calculations The PERT-CPM template can be used to calculate the probabilities. No Additional Training Additional µ = 194  = 9.255 µ = 189  = P(X < 180) X $ $ $ 65,192 $270,559 X $400000 X $0 $159,152 $ $291,824 P(180 <X < 200) P(X > 200) Total = $335,751 Total = $450,976 Net increase = $450,976-$335,751 = $115,225 This is less than the $250,000 required for training. Do not perform the additional training!

23 Review 3-Time Estimate Approach for PERT
Each activity has a Beta distribution Calculation of Mean of each activity Calculation Variance and Standard Deviation for each activity Assumptions for using PERT approach Distribution of Project CompletionTime Normal Mean = Sum of means on critical path Variance = Sum of variances on critical path Using the PERT-CPM template Using PERT in cost analyses


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