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Transcript of 5/18/2015 L. K. Gaafar PROJECT MANAGEMENT Time Management* Dr. L. K. Gaafar The American University...
04/18/23L. K. Gaafar
PROJECT MANAGEMENT Time Management*
Dr. L. K. GaafarThe American University in Cairo
* This Presentation is Based on information from the PMBOK Guide 2000
04/18/23L. K. Gaafar
Critical Path Method (CPM)
CPM is a project network analysis technique used to predict total project duration
A critical path for a project is the series of activities that determines the earliest time by which the project can be completed
The critical path is the longest path through the network diagram and has the least amount of float
04/18/23L. K. Gaafar
Finding the Critical Path
Develop a network diagram Add the durations of all activities to the project
network diagram Calculate the total duration of every possible
path from the beginning to the end of the project The longest path is the critical path Activities on the critical path have zero float
04/18/23L. K. Gaafar
Activity IPA Duration (days)
A --- 2 B A 5 C B 2 D B 7 E C 1 F D 2
Consider the following project network diagram. Assume all times are in days.
Simple Example
04/18/23L. K. Gaafar
Simple Example
2 3
4
5
A=2 B=5C=2
D=7
1 6
F=2
E=1
start finish
a. 2 paths on this network: A-B-C-E, A-B-D-F.
b. Paths have lengths of 10, 16
c. The critical path is A-B-D-F
d. The shortest duration needed to complete this project is 16 days
Activity-on-arrow network
04/18/23L. K. Gaafar
0 2
0 2
0 2A
2 7
2 7
0 5B
7 14
7 14
0 7D
7 9
13 15
6 2C
14 16
14 16
0 2F
9 10
15 16
6 1E
Dummy
Time ManagementES EF
LS LF
Slack Dur.Act
Key
Activity-on-node network
04/18/23L. K. Gaafar
Activity Days Cost ($) Cost/dayA 2 200 100B 5 500 100C 2 200 100D 7 500 71.4E 1 100 100F 2 100 50
Cash Flow
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Cash FlowDaily Expenses
0
20
40
60
80
100
120
140
160
180
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
Day
Co
st (
$)
Cumulative Expenses
0
200
400
600
800
1000
1200
1400
1600
1800
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
Day
Co
st (
$)
Activity Days Cost ($) Cost/dayA 2 200 100B 5 500 100C 2 200 100D 7 500 71.4E 1 100 100F 2 100 50
Day Activity Cost of day Total cost1 A 100 1002 A 100 2003 B 100 3004 B 100 4005 B 100 5006 B 100 6007 B 100 7008 C,D 171.4 8719 C,D 171.4 104310 D,E 171.4 121411 D 71.4 128612 D 71.4 135713 D 71.4 142814 D 71.4 150015 F 50 155016 F 50 1600
04/18/23L. K. Gaafar
Determining the Critical Path for Project X
a. How many paths are on this network diagram?
b. How long is each path?
c. Which is the critical path?
d. What is the shortest duration needed to complete this project?
04/18/23
Stochastic (non-deterministic) Activity Durations
Project Evaluation and Review Technique (PERT)
04/18/23L. K. Gaafar
Stochastic Times
UniformTriangular
Beta
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Important Distributions
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Stochastic TimesThe Central Limit Theorem
The sum of n mutually independent random variables is well-approximated by a normal distribution if n is large enough.
04/18/23L. K. Gaafar
PERT: Finding the Critical Path
(Stochastic Times)
Develop a network diagram Calculate the mean duration and variance of each activity Calculate the total mean duration and the variance of every
possible path from the beginning to the end of the project by summing the mean duration and variances of all activities on the path.
The path with the longest mean duration is the critical path If more than one path have the longest mean duration, the
critical path is the one with the largest variance. Calculate possible project durations using the normal
distribution
04/18/23L. K. Gaafar
Example I
Duration (wks) Activity IPA a m b
A --- 4 6 14 B A 3 4 8 C -- 4 5 6 D A,C 7 7 7 E B,D 3 3 6 F A,C 6 8 14 G -- 13 18 20
Assuming that all activities are beta distributed, what is the probability that the project duration will exceed 19 weeks?
04/18/23L. K. Gaafar
DurationActivity IPA a m b
A --- 4 6 14 7.00 2.78B A 3 4 8 4.50 0.69C -- 4 5 6 5.00 0.11D A,C 7 7 7 7.00 0.00E B,D 3 3 6 3.50 0.25F A,C 6 8 14 8.67 1.78G -- 13 18 20 17.50 1.36
A 7, 2.8
C 5,0.1
B 4.5, 0.7
D 7, 0
E 3.5, 0.25
F8.7, 1.8
G 17.5, 1.36
7
7
14 17.5
04/18/23L. K. Gaafar
A 7, 2.8
C 5,0.1
B 4.5, 0.7
D 7, 0
E 3.5, 0.25
F8.7, 1.8
G 17.5, 1.36
7
7
14 17.5
Path
ADE 17.50 3.03 ABE 15.00 3.72 AF 15.67 4.56
CDE 15.50 0.36 CF 13.67 1.89 G 17.50 1.36
04/18/23L. K. Gaafar
Example IIDuration
Activity IPA Distribution a m bA --- Uniform 4 NA 8B --- Triangular 3 4 5C --- Beta 4 5 6D C Beta 5 7 12E A Triangular 3 3 6F A, B Triangular 5 8 8G E, D Uniform 9 NA 9
Construct an activity-on-arrow network for the project above.Provide a 95% confidence interval on the completion time of the project.
04/18/23L. K. Gaafar
Example IIDuration
Activity IPA Distribution a m bA --- Uniform 4 NA 8B --- Triangular 3 4 5C --- Beta 4 5 6D C Beta 5 7 12E A Triangular 3 3 6F A, B Triangular 5 8 8G E, D Uniform 9 NA 9
EC G
FB
Start FinishA
D
04/18/23L. K. Gaafar
Example II
Start Finish
B (4, 0.17)
C (5, 0.11)
A (6, 1.33)
E (4, 0.5) G (9, 0.0)
F (7, 0.5)
D (7.5, 1.36)
Path
BF 11 0.67 AF 13 1.83
AEG 19 1.83 CDG 21.5 1.47
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Duration (days) Total cost ($) Activity IPA Normal Crash Normal Crash
A --- 2 2 200 200 B A 5 3 500 700 C B 2 1 200 250 D B 7 4 500 650 E C 1 1 100 100 F D 2 1 100 350
Consider the following project network diagram. Assume all times are in days.
Time Management: Crashing
04/18/23L. K. Gaafar
Time Management
A(2,2,0) B(5,3,100)
C(2,1,50)
D(7,4,50)
E(1,1,0)
F(2,1,250)
Action Critical Path Duration (days) Total Cost ($)No Crashing A-B-D-F 16 1600Crash D by 1 A-B-D-F 15 1650Crash D by 1 A-B-D-F 14 1700Crash D by 1 A-B-D-F 13 1750Crash B by 1 A-B-D-F 12 1850Crash B by 1 A-B-D-F 11 1950Crash F by 1 A-B-D-F 10 2200
04/18/23L. K. Gaafar
Duration/Cost Decision Support Curve
1500
1600
1700
1800
1900
2000
2100
2200
2300
10 11 12 13 14 15 16
Duration (days)
To
tal
Co
st
($)
04/18/23L. K. Gaafar
Time Management
A(2,2,0) B(3,3,100)
C(2,1,50)
D(4,4,50)
E(1,1,0)
F(1,1,250)
Shortest Possible duration with crashing is 10 days.Critical path is not changed.
04/18/23L. K. Gaafar
Duration (days) Total cost ($)Activity IPA Normal Crash Normal Crash
A --- 6 4 100 120B A 4 3 80 93C -- 5 4 95 110D A,C 7 7 115 115E B,D 4 2 64 106F A,C 8 6 75 99G -- 18 13 228 318
Example Problem
04/18/23L. K. Gaafar
Project Network
A 6
C 5
B 4
D 7
E 4
F 8
G 18
Path DurationA-B-E 14A-D-E 17A-F 14C-D-E 16C-F 13G 18
Shortest possible normal duration is 18 at a cost of $757
04/18/23L. K. Gaafar
6 14
10 18
4 8F
0 18
0
0 18G
0 5
2 7
2 5C
0 6
1 7
1 6A
6 13
7 14
1 7D
6 10
10 14
4 4B
Dummy
Time Management
13 17
14 18
1 4E
Dummy
18
04/18/23L. K. Gaafar
A(4,4,10)
C(4,4,15)
B(4,3,13)
D(7,7,0)
E(2,2,21)
F(8,6,12)
G(13,13,18)
Duration Extra TotalAction ABE ADE AF CDE CF G Cost Cost
No Crashing 14 17 14 16 13 18 -- 757Crash G 14 17 14 16 13 17 18 775
Crash G&A 13 16 13 16 13 16 28 803Crash G&E 12 15 13 15 13 15 39 842Crash G&E 11 14 13 14 13 14 39 881
Crash G,A&C 10 13 12 13 12 13 43 924
Crashing
04/18/23L. K. Gaafar
Final Crashed Network
A(4,4,10)
C(4,4,15)
B(4,3,13)
D(7,7,0)
E(2,2,21)
F(8,6,12)
G(13,13,18)
The shortest crashed project duration is 13 days at a minimum total cost of $924.
Further crashing of B or F is useless
04/18/23L. K. Gaafar
Using Critical Path Analysis to Make Schedule Trade-offs Knowing the critical path helps you make
schedule trade-offs Free slack or free float is the amount of time an
activity can be delayed without delaying the early start of any immediately following activities
Total slack or total float is the amount of time an activity may be delayed from its early start without delaying the planned project finish date
This part is from a presentation by Kathy Schwalbe, [email protected]
http://www.augsburg.edu/depts/infotech/
04/18/23L. K. Gaafar
Techniques for Shortening a Project Schedule
Shortening durations of critical tasks by adding more resources or changing their scope
Crashing tasks by obtaining the greatest amount of schedule compression for the least incremental cost
Fast tracking tasks by doing them in parallel or overlapping them
This part is from a presentation by Kathy Schwalbe, [email protected]
http://www.augsburg.edu/depts/infotech/
04/18/23L. K. Gaafar
Shortening Project Schedules
Overlappedtasks
Shortenedduration
Original schedule
This part is from a presentation by Kathy Schwalbe, [email protected]
http://www.augsburg.edu/depts/infotech/
04/18/23L. K. Gaafar
04/18/23L. K. Gaafar
Activity Definition
Activity Sequencing
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Duration Estimation
Schedule Development
04/18/23L. K. Gaafar
Schedule Control