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Project Management Chapter 8.

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Presentation on theme: "Project Management Chapter 8."— Presentation transcript:

1 Project Management Chapter 8

2 Chapter Topics The Elements of Project Management CPM/PERT Networks
Probabilistic Activity Times Microsoft Project Project Crashing and Time-Cost Trade-Off Formulating the CPM/PERT Network as a Linear Programming Model Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

3 Overview Network representation is useful for project analysis.
Networks show how project activities are organized and are used to determine time duration of projects. Network techniques used are: CPM (Critical Path Method) PERT (Project Evaluation and Review Technique) Developed independently during late 1950’s. Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

4 Elements of Project Management
Management is generally perceived as concerned with planning, organizing, and control of an ongoing process or activity. Project Management is concerned with control of an activity for a relatively short period of time after which management effort ends. Primary elements of Project Management to be discussed: Project Planning Project Team Project Control Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

5 Elements of Project Management Project Planning
Objectives Project Scope Contract Requirements Schedules Resources Personnel Control Risk and Problem Analysis Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

6 Elements of Project Management The Project Team
Project team typically consists of a group of individuals from various areas in an organization and often includes outside consultants. Members of engineering staff often assigned to project work. Project team may include workers. Most important member of project team is the project manager. Project manager is often under great pressure because of uncertainty inherent in project activities and possibility of failure. Potential rewards, however, can be substantial. Project manager must be able to coordinate various skills of team members into a single focused effort. Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

7 Figure 8.1 The project management process
Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

8 Elements of Project Management Scope Statement
Document providing common understanding of project. Justification describing the factors giving rise to need for project. Expected results and what constitutes success. List of necessary documents and planning reports. Statement of work (SOW) - a planning document for individuals, team members, groups, departments, subcontractors and suppliers, describing what are required for successful completion on time. Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

9 Elements of Project Management Work Breakdown Structure (WBS) (1 of 2)
WBS breaks down project into major components (modules). Modules are further broken down into activities and, finally, into individual tasks. Identifies activities, tasks, resource requirements and relationships between modules and activities. Helps avoid duplication of effort. Basis for project development, management , schedule, resources and modifications. Approaches for WBS development: 1. Top down process Brainstorm entire project Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

10 Elements of Project Management Work Breakdown Structure (2 of 2)
Figure WBS for Computer Order-processing System Project Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

11 Elements of Project Management
Responsibility Assignment Matrix (1 of 2) Project manager assigns work elements to organizational units, departments, groups, individuals or subcontractors. Uses an organizational breakdown structure (OBS). OBS is a table or a chart showing which organizational units are responsible for work items. OBS leads to the responsibility assignment matrix (RAM) RAM shows who is responsible for doing the necessary work in the project Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

12 Figure 8.3 A responsibility assignment matrix
Elements of Project Management Responsibility Assignment Matrix (2 of 2) Figure A responsibility assignment matrix Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

13 Elements of Project Management Project Scheduling
Project Schedule evolves from planning documents, with focus on timely completion. Critical element in project management – source of most conflicts and problems. Schedule development steps: 1. Define activities, Sequence activities, 3. Estimate activity times, 4. Construct schedule. Gantt chart and CPM/PERT techniques can be useful. Computer software packages available, e.g. Microsoft Project. Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

14 Elements of Project Management Gantt Chart (1 of 2)
Popular, traditional technique, also known as a bar chart -developed by Henry Gantt (1914). Direct precursor of CPM/PERT for monitoring work progress. A visual display of project schedule showing activity start and finish times and where extra time is available. Suitable for projects with few activities and precedence relationships. Drawback: precedence relationships are not always discernible. Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

15 Elements of Project Management Gantt Chart (2 of 2)
Figure A Gantt chart Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

16 Elements of Project Management Project Control
Process of ensuring progress toward successful completion. Monitoring project to minimize deviations from project plan and schedule. Corrective actions necessary if deviations occur. Key elements of project control Time management Cost management Performance management Earned value analysis. Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

17 The Project Network CPM/PERT Activity-on-Arc (AOA) Network
A branch reflects an activity of a project. A node represents the beginning and end of activities, referred to as events. Branches in the network indicate precedence relationships. When an activity is completed at a node, it has been realized. Figure Nodes and Branches

18 Concurrent Activities
The Project Network Concurrent Activities Network aids in planning and scheduling. Time duration of activities shown on branches. Activities can occur at the same time (concurrently). A dummy activity shows a precedence relationship but reflects no passage of time. Two or more activities cannot share the same start and end nodes. Figure A Dummy Activity

19 The Project Network House Building Project Data
No. Activity Activity Predecessor Duration (Months) Design house and obtain financing 2. Lay foundation 3. Order Materials 4. Build house , 5. Select paint , 6. Select carpet 7. Finish work , Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

20 AOA Network for House Building Project
The Project Network AOA Network for House Building Project Figure 8.6 Expanded Network for Building a House Showing Concurrent Activities Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

21 AON Network for House Building Project
The Project Network AON Network for House Building Project Activity-on-Node (AON) Network A node represents an activity, with its label and time shown on the node The branches show the precedence relationships Convention used in Microsoft Project software Figure 8.8 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

22 Paths Through the House-Building Network
The Project Network Paths Through a Network Path Events A 1247 B 12567 C 1347 D 13567 Table 8.1 Paths Through the House-Building Network Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

23 The Project Network The Critical Path
The critical path is the longest path through the network; the minimum time the network can be completed. From Figure 8.8: Path A: 1  2  4  = 9 months Path B: 1  2  5  6  = 8 months Path C: 1  3  4  = 8 months Path D: 1  3  5  6  = 7 months Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

24 The Project Network Activity Start Times
Figure 8.9 Activity start time

25 The Project Network Activity-on-Node Configuration
Figure Activity-on-Node Configuration Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

26 Activity Scheduling : Earliest Times
The Project Network Activity Scheduling : Earliest Times ES is the earliest time an activity can start: ES = Maximum (EF) EF is the earliest start time plus the activity time: EF = ES + t Figure Earliest activity start and finish times

27 Activity Scheduling : Latest Times
The Project Network Activity Scheduling : Latest Times LS is the latest time an activity can start without delaying critical path time: LS = LF - t LF is the latest finish time. LF = Minimum (LS) Figure Latest activity start and finish times

28 Activity Slack Time (1 of 2)
The Project Network Activity Slack Time (1 of 2) Slack is the amount of time an activity can be delayed without delaying the project: S = LS – ES = LF - EF Slack Time exists for those activities not on the critical path for which the earliest and latest start times are not equal. Shared Slack is slack available for a sequence of activities. Activity LS ES LF EF Slack, S *1 3 *2 5 4 1 *4 8 6 7 *7 9 Table 8.2 *Critical path

29 Activity Slack Time (2 of 2)
The Project Network Activity Slack Time (2 of 2) Figure Activity slack

30 Probabilistic Activity Times
Activity time estimates usually cannot be made with certainty. PERT used for probabilistic activity times. In PERT, three time estimates are used: most likely time (m), the optimistic time (a), and the pessimistic time (b). These provide an estimate of the mean and variance of a beta distribution: variance: mean (expected time): Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

31 Figure 8.14 Network for Installation Order Processing System
Probabilistic Activity Times Example (1 of 3) Figure Network for Installation Order Processing System

32 Probabilistic Activity Times Example (2 of 3)
Table Activity Time Estimates for Figure 8.14

33 Probabilistic Activity Times Example (3 of 3)
Figure Earliest and Latest Activity Times

34 Probabilistic Activity Times Expected Project Time and Variance
Expected project time is the sum of the expected times of the critical path activities. Project variance is the sum of the critical path activities’ variances The expected project time is assumed to be normally distributed (based on central limit theorem). In example, expected project time (tp) and variance (vp) interpreted as the mean () and variance (2) of a normal distribution: = 25 weeks 2 = 62/9 = 6.9 (weeks)2

35 Probability Analysis of a Project Network (1 of 2)
Using the normal distribution, probabilities are determined by computing the number of standard deviations (Z) a value is from the mean. The Z value is used to find corresponding probability in Table A.1, Appendix A. Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

36 Probability Analysis of a Project Network (2 of 2)
Figure Normal Distribution of Network Duration Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

37 Probability Analysis of a Project Network Example 1 (1 of 2)
What is the probability that the new order processing system will be ready by 30 weeks? µ = 25 weeks 2 =  = 2.63 weeks Z = (x-)/  = (30 -25)/2.63 = 1.90 Z value of 1.90 corresponds to probability of in Table A.1, Appendix A. Probability of completing project in 30 weeks or less: ( ) = Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

38 Probability Analysis of a Project Network Example 1 (2 of 2)
Figure Probability the Network Will Be Completed in 30 Weeks or Less Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

39 Probability Analysis of a Project Network Example 2 (1 of 2)
A customer will trade elsewhere if the new ordering system is not working within 22 weeks. What is the probability that she will be retained? Z = ( )/2.63 = -1.14 Z value of 1.14 (ignore negative) corresponds to probability of in Table A.1, appendix A. Probability that customer will be retained is .1271 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

40 Probability Analysis of a Project Network Example 2 (2 of 2)
Figure Probability the Network Will Be Completed in 22 Weeks or Less Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

41 CPM/PERT Analysis with QM for Windows & Excel QM (1 of 2)
Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

42 CPM/PERT Analysis with QM for Windows & Excel QM (2 of 2)
Exhibit 8.2

43 Analysis with Microsoft Project (1 of 13)
Microsoft Project handles only AON networks. Exhibit 8.3

44 Analysis with Microsoft Project (2 of 13)
Exhibit 8.4 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

45 Analysis with Microsoft Project (3 of 13)
Exhibit 8.5 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

46 Analysis with Microsoft Project (4 of 13)
Exhibit 8.6 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

47 Analysis with Microsoft Project (5 of 13)
Figure 8.7 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

48 Analysis with Microsoft Project (6 of 13)
Figure 8.8 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

49 Analysis with Microsoft Project (7 of 13)
Exhibit 8.9 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

50 Analysis with Microsoft Project (8 of 13)
Exhibit 8.10 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

51 Analysis with Microsoft Project (9 of 13)
Exhibit 8.11 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

52 Analysis with Microsoft Project (10 of 13)
Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall Figure 8.12

53 Analysis with Microsoft Project (11 of 13)
Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall Figure 8.13

54 Analysis with Microsoft Project (12 of 13)
Exhibit 8.14 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

55 Analysis with Microsoft Project (13 of 13)
Exhibit 8.15 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

56 Time-Cost Trade-Off Overview
Project Crashing and Time-Cost Trade-Off Overview Project duration can be reduced by assigning more resources to project activities. However, doing this increases project cost. Decision is based on analysis of trade-off between time and cost. Project crashing is a method for shortening project duration by reducing one or more critical activities to a time less than normal activity time. Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

57 Project Crashing and Time-Cost Trade-Off Example Problem (1 of 5)
Figure The Project Network for Building a House

58 Project Crashing and Time-Cost Trade-Off Example Problem (2 of 5)
Crash cost & crash time have a linear relationship: Figure 8.20 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

59 Project Crashing and Time-Cost Trade-Off Example Problem (3 of 5)
Table 8.4

60 Project Crashing and Time-Cost Trade-Off Example Problem (4 of 5)
Figure 8.21 Network with Normal Activity Times and Weekly Crashing Costs

61 Project Crashing and Time-Cost Trade-Off Example Problem (5 of 5)
As activities are crashed, the critical path may change and several paths may become critical. Figure 8.22 Revised Network with Activity 1 Crashed

62 Project Crashing and Time-Cost Trade-Off
Project Crashing with QM for Windows Exhibit 8.16

63 Project Crashing and Time-Cost Trade-Off
General Relationship of Time and Cost (1 of 2) Project crashing costs and indirect costs have an inverse relationship. Crashing costs are highest when the project is shortened. Indirect costs increase as the project duration increases. Optimal project time is at minimum point on the total cost curve. Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

64 Project Crashing and Time-Cost Trade-Off
General Relationship of Time and Cost (2 of 2) Figure 8.23 The Time-Cost Trade-Off Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

65 Formulating as a Linear Programming Model
The CPM/PERT Network Formulating as a Linear Programming Model The objective is to minimize the project duration (critical path time). General linear programming model with AOA convention: Minimize Z = xi subject to: xj - xi  tij for all activities i  j xi, xj  0 Where: xi = earliest event time of node i xj = earliest event time of node j tij = time of activity i  j i Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

66 Example Problem Formulation and Data (1 of 2)
The CPM/PERT Network Example Problem Formulation and Data (1 of 2) Figure 8.24 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

67 Example Problem Formulation and Data (2 of 2)
The CPM/PERT Network Example Problem Formulation and Data (2 of 2) Minimize Z = x1 + x2 + x3 + x4 + x5 + x6 + x7 subject to: x2 - x1  12 x3 - x2  8 x4 - x2  4 x4 - x3  0 x5 - x4  4 x6 - x4  12 x6 - x5  4 x7 - x6  4 xi, xj  0 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

68 Example Problem Solution with Excel (1 of 4)
The CPM/PERT Network Example Problem Solution with Excel (1 of 4) B6:B12 Exhibit 8.17 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

69 Example Problem Solution with Excel (2 of 4)
The CPM/PERT Network Example Problem Solution with Excel (2 of 4) Exhibit 8.18 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

70 Example Problem Solution with Excel (3 of 4)
The CPM/PERT Network Example Problem Solution with Excel (3 of 4) Exhibit 8.19 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

71 Example Problem Solution with Excel (4 of 4)
The CPM/PERT Network Example Problem Solution with Excel (4 of 4) Exhibit 8.20 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

72 Project Crashing with Linear Programming
Example Problem – Model Formulation Minimize Z = $400y y y y y y y67 subject to: y12  5 y12 + x2 - x1  12 x7  30 y23  3 y23 + x3 - x2  8 xi, yij ≥ 0 y24  1 y24 + x4 - x2  4 y34  0 y34 + x4 - x3  0 y45  3 y45 + x5 - x4  4 y46  3 y46 + x6 - x4  12 y56  3 y56 + x6 - x5  4 y67  1 x67 + x7 - x6  4 xi = earliest event time of node I xj = earliest event time of node j yij = amount of time by which activity i  j is crashed Objective is to minimize the cost of crashing Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

73 Project Crashing with Linear Programming Excel Solution (1 of 3)
Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall Exhibit 8.21

74 Project Crashing with Linear Programming Excel Solution (2 of 3)
Exhibit 8.22 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

75 Project Crashing with Linear Programming Excel Solution (3 of 3)
Exhibit 8.23 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

76 Problem Statement and Data (1 of 2)
Example Problem Problem Statement and Data (1 of 2) Given this network and the data on the following slide, determine the expected project completion time and variance, and the probability that the project will be completed in 28 days or less.

77 Example Problem Problem Statement and Data (2 of 2)

78 Example Problem Solution (1 of 4)
Step 1: Compute the expected activity times and variances.

79 Example Problem Solution (2 of 4)
Step 2: Determine the earliest and latest activity times & slacks

80 Example Problem Solution (3 of 4)
Step 3: Identify the critical path and compute expected completion time and variance. Critical path (activities with no slack): 1  3  5  7 Expected project completion time: tp = = 24 days Variance: vp = 4 + 4/9 + 4/9 + 1/9 = 5 (days)2 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

81 Example Problem Solution (4 of 4)
Step 4: Determine the Probability That the Project Will be Completed in 28 days or less (µ = 24,  = 5) Z = (x - )/ = (28 -24)/5 = 1.79 Corresponding probability from Table A.1, Appendix A, is and P(x  28) = = Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall

82 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall


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