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Project Management presented by Miles Hamby, PhD Copyright©2012 Miles M. Hamby 1 Topics • The Nature of Project Management • The Elements of Project Management • The Project Proposal Document • SOW, OBS, RAM, CPM/PERT Networks • Weighted Average & Probabilistic Activity Times • Cost-Benefit and Earned Value Analysis • Project Costs & Project Crashing • Using Excel to create Gantt charts 2 Nature of Project Management 3 Nature of Project Management What is a project? Unique (one-time effort) Fixed duration Specific goal 4 The Project Team Includes engineers, line workers, HR personnel, budget experts, technical experts, outside consultants Headed by the Project Manager • Must coordinate various skills of team members into single, focused effort • Great pressure due to uncertainty inherent in project schedule, budget, and quality. 5 Nature of Project Management Why manage a project? Murphy’s Law If anything can go wrong – it will! • Complete on-time • In budget • Meet expectations (quality) 6 Nature of Project Management Controlling an activity for a relatively short period of time until project is completed, then operations begin. Project manager not involved in operations. 3 components of PM: • Planning • Scheduling • Controlling individual activities. 7 The Project Management Process PLANNING SCHEDULING CONTROLLING ON TIME PERT/CPM SOW 2 5 6 START FINISH 1 4 3 OBS IN BUDGET GANTT PM Bull Run Defenses 11 10 HR Design 9 Const 8 Activity 7 6 5 4 3 Move Eng Div receive orders Activity 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Days RESOURCES RAM TASK HR DESIGN CONST 1 O.P S S 2 S P O 3 P O S MEETS EXPECTATIONS 8 Project Control Process of ensuring progress toward successful completion ~ on time, in budget, meet expectations. 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. 9 The Project Planning Document - a document for the customer, individuals, team members, groups, departments, subcontractors and suppliers, describing what is required for successful completion - on time, in budget, meet expectations. 10 The Project Planning Document Cover page TOC SOW and Scope OBS RAM Work Breakdown Schedule (WBS) PERT/CPM – AON diagram & Gantt Chart Budgeting Resources (Human and Materials) Technology Cost-Benefit and Earned Value Analysis (EVA) Execution and Control Plan (Quality Assurance) Protection of the Environment Risk Assessment and Management 11 SOW and Scope Statement of Work (SOW) – statement of work to be performed, justification describing the factors giving rise to need for project, expected duration (on time), total cost (budget), and performance standards (meeting expectations). Scope – identification of boundaries and limitations on specific aspects of the project, including size, resources, work to be performed and performance standards 12 Organizational Breakdown Structure (OBS) Wilson Bridge Renovation Project Acme Construction Company Organization Breakdown Structure (OBS) Project Manager Bob Smith Design Manager Jane Doe Construction Mgr Bill Jones (Tasking) (Tasking) (Tasking) (Tasking) (Tasking) (Tasking) (Tasking) (Tasking) (Tasking) (Tasking) (Tasking) (Tasking) Electrical Mgr Rene Flemming Resources Mgr John Henry 13 Responsibility Assignment Matrix (RAM) OBS leads to the responsibility assignment matrix (RAM) RAM is a table or a chart showing which organizational units are responsible for work items. Project Manager assigns work elements to organizational units, departments, groups, individuals or subcontractors. RAM shows who is responsible for oversight (O), performance (P), and support (S) of each task 14 Responsibility Assignment Matrix (RAM) ACME Construction Company Wilson Bridge Renovation Responsibility Assignment Matrix (RAM) Key: O = Oversight, P = Performance, S = Support Activity 1 – Design 2 - Acquire materials OBS Unit Design Construction O, P S S 3 - Prepare foundation 4 - Set piles Electrical O, P O, P S Resources S S O, P 5 - Construct piers P 6 - Construct roadway P 15 Activity Scheduling Project Schedule evolves from planning documents, with focus on timely completion. Scheduling is the source of most conflicts and problems. Schedule development steps: 1. Define activities 2. Sequence activities 3. Estimate activity times 4. Construct schedule. Gantt chart and CPM/PERT techniques used. Computer software packages available, e.g. Microsoft Project. 16 Work Breakdown Schedule (WBS) Basis for project development, management , schedule, resources and modifications. WBS breaks down project into major modules. Modules are further broken down into activities and, finally, into individual tasks. Identifies activities, tasks, resource requirements and relationships between modules and activities. 17 Work Breakdown Structure (WBS) ACME Construction Company Wilson Bridge Renovation Activity Schedule ACTVITY PREDESSOR EARLY START DURATION (months) 1 – Design -- 0 14 2 - Acquire materials 1 6 1 3 - Prepare foundation 1 12 1 4 - Set piles 3 14 3 5 - Construct piers 4 20 8 6 - Construct roadway 5 28 4 18 CPM/PERT CPM – Critical Path Method PERT – Project Evaluation and Review Technique AON – Activity on Node 19 CPM/PERT – Activity on Node Activity-on-Node (AON) Network A node represents the beginning and end of activities, referred to as events. Each node depicts ID and duration (often more info) Branches in the network indicate precedence relationships. When an activity is completed at a node, it has been realized. WILSON BRIDGE Project -- / B / -4.8 GET MATERIALS -- / 3 / -- 0 / A / -PLAN & DESIGN 0 / 14 / --/ D / -0 SINK PILINGS -- / 8 / -- 21.2 / E / 24.2 2 LAY SPAN -- / 3 / -- -- / F / -0 FINISH ROADBED --/ 3 / -- -- / C / -1 CONSTRUCT APP -- / 7 / -- 20 AON Concurrent Activities 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. WILSON BRIDGE Project 0 / A / 14 0 PLAN & DESIGN 0 / 14 / 14 14 / B / 17 5 GET MATERIALS 19 / 3 / 22 14 / D / 22 0 SINK PILINGS 14 / 8 / 22 22 / E / 25 0 LAY SPAN 22 / 3 / 25 25 / F / 28 0 FINISH ROADBED 25 / 3 / 28 14 / C / 21 1 CONSTRUCT APP 15/ 7 / 22 21 The Critical Path Method (CPM) The critical path is the longest path through the network; the minimum time the network can be completed Path A: AB E F 14 + 1 + 8 + 4 = 27 months Path B: ACEF 14 + 1 + 8 + 4 = 27 months Path C: ADEF 14 + 3 + 8 + 4 = 29 months Critical Path 22 Activity Early Start Schedule (for Gantt Chart) ACME Construction Company Wilson Bridge Renovation Activity Schedule ACTVITY PREDESSOR EARLY START DURATION (months) 1 – Design -- 0 14 2 - Acquire materials 1 6 1 3 - Prepare foundation 1 12 1 4 - Set piles 3 14 3 5 - Construct piers 4 20 8 6 - Construct roadway 5 28 4 23 Gantt Chart Bar chart developed by Henry Gantt (1914). A visual display of project schedule showing activity start and finish times and where extra time is available. Based on Early Start of activities – order, duration, predecessors Drawback: precedence relationships are not always discernible. 24 Gantt Chart for Wilson Bridge Project Wilson Bridge Renovation Gantt Chart Duration (months) 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 1 Design Activity 2 Acquire materials 3 Prepare foundation 4 Set piles 5 Construct piers 6 Construct roadway 25 AON Earliest/Latest Times Configuration ES Earliest Start Activity 0 Slack 9 12 RECRUITING 2 LS Latest Start / A / EF Earliest Finish / 9 / Duration 11 LF Latest Finish 26 AON Earliest/Latest Times Configuration ES: Earliest an activity can start EF: ES + duration LF: Latest time an activity can finish LS: LF – duration Slack: LS - ES 0 / A / 9 12 RECRUITING 12 / 9 / 11 27 Activity Schedule Wilson Bridge Project Task DUR ES EF LS LF Slack A 13 0 13 0 13 0 B 3 13 16 18 21 13 C 7 13 20 20 27 7 D 8 13 21 13 22 0 E 3 21 24 21 24 2 F 2 24 27 24 27 0 *Critical Activities 28 AON Diagram for Wilson Bridge WILSON BRIDGE / A / / B / 15 2 GET MATERIALS Project 0 14 16 14 14 / / 1 / 17 D / 15 17 / E / 25 0 PLAN & DESIGN 2 SINK PILINGS 0 LAY SPAN 0 / 14 / 14 16 / 1 / 17 17 / 8 / 25 14 / 25 / F / 29 0 FINISH ROADBED 25 / 4 / 29 C / 17 0 CONSTRUCT APP 14 / 3 / 17 29 Weighted Average & Probabilistic Activity Times 30 Weighted Average ACME Computer Network Project Work Breakdown Structure (WBS) Activity Optimistic (a) Most Probable (m) Pessimistic (b) A – Recruiting 6 8 10 B – Development 3 6 9 C – System Training 1 3 5 D – System Training 2 4 12 E – Equipment Test 2 3 4 F – System Test 3 4 5 G – Equipment Mod 2 2 2 H – System Debug 3 I – Equipment Change 2 4 6 J – Pre-interface 1 4 7 K – Interface 1 10 13 Weighted Mean Time (t) Variance (v) 11 31 Probabilistic Activity Times Activity time estimates usually cannot be made with certainty. PERT used for probabilistic activity duration 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: • Weighted Mean (expected time):t Op 4*MP Ps 6 2 • Variance: v Ps - Op 6 32 WBS – Computer Network Example Computer Network Project Work Breakdown Structure (WBS) Activity Optimistic (a) Most Probable (m) Pessimistic (b) Weighted Mean Time (t) Variance (v) A – Equipment Installation 6 8 10 8 .44 (4/9) B – System Development 3 6 9 6 1 C – Position Recruiting 1 3 5 3 .44 (4/9) D – Equip testing & Mod 2 4 12 5 2.78 (25/9) E – Manual Testing 2 3 4 3 .11 (1/9) F – Job Training 3 4 5 4 .11 (1/9) G – Orientation 2 2 2 2 1.78 (0) H – System training 3 11 7 2.11 (16/9) I – System Testing 2 4 6 4 .44 (4/9) J – Final Debugging 1 4 7 4 1 (9/9) K – System Changeover 1 10 13 9 4 (36/9) 33 AON – Computer Network Example 0/A/9 2.8 RECRUTING 2.8/8/11.8 ACME CORP Computer Network Activity on Node 0/C/9 2.8 RECRUTING 2.8/3/11.8 0/D/9 2.8 34 RECRUTING 2.8/5/11.8 0/J/9 2.8 RECRUTING 2.8/4/11.8 0/K/9 2.8 RECRUTING 2.8/9/11.8 START 0/E/9 2.8 RECRUTING 2.8/3/11.8 0/B/9 2.8 RECRUTING 2.8/6/11.8 LEGEND ES’/A/EF Sl ECRUTING LS/Dur/LF 0/F/9 2.8 RECRUTING 2.8/4/11.8 0/G/9 2.8 RECRUTING 2.8/2/11.8 0/H/9 2.8 RECRUTING 2.8/7/11.8 0/I/9 2.8 RECRUTING 2.8/4/11.8 FINISH Critical Path for Computer Network Example Critical Path is the path with the longest mean time and is also the Expected Time to Completion (ETC) Path Mean Times ADJ 8 + 5 + 4 = 17 weeks BEH 6 + 3 + 7 = 16 weeks BEIK 6 + 3 + 4 + 9 = 22 weeks CPM CFH CEIK 3 + 4 + 7 = 14 weeks 3 + 4 + 4 + 9 = 20 weeks CGK 3 + 2 + 9 = 14 weeks 35 ETC and Variance The Project Variance (vp) is the sum of the variances of the critical path activities. Critical Path: BEIK Project time: 6+ 3 + 4 + 9 Variance: = 22 weeks .44 + .11 + 2.11 + 4 = 7.22 weeks Standard Deviation: Sqrt of Variance = 2.69 36 Probability Analysis of a Project Network ETC is assumed to be normally distributed (based on central limit theorem). As such, the ETC and variance (vp) are interpreted as the mean () and variance (2) of a normal distribution Project time: 6+3+4+9 = 22 weeks Variance: .44+.11+2.11+4 = 7.22 weeks Std Dev: Sqrt 7.22 = 2.69 -3 = 13.93 weeks = 22 weeks 3 = 30.07 weeks Time (Weighted Average Duration) 37 Probability Analysis of a Project Network Example 1 From Computer Network example: Critical Path: 2 5 9 11 Project time: Variance: 6+ 3+ 4+ 9 = 22 weeks .44 + .11 + 2.11 + 4 = 7.22 weeks What is the probability that the new order processing system will be ready in 20 weeks? µ = 22 weeks 2 = 7.22, therefore, = 2.69 weeks Z = (x-)/ = (20 - 22)/2.69 = -.74 38 Table of Areas (p-values) +/- Z 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3.0 0.00 0.0000 0.0398 0.0793 0.1179 0.1554 0.1915 0.2257 0.2580 0.2881 0.3159 0.3413 0.3643 0.3849 0.4032 0.4192 0.4332 0.4452 0.4554 0.4641 0.4713 0.4772 0.4821 0.4861 0.4893 0.4918 0.4938 0.4953 0.4965 0.4974 0.4981 0.4987 0.01 0.0040 0.0438 0.0832 0.1217 0.1591 0.1950 0.2291 0.2611 0.2910 0.3186 0.3483 0.3665 0.3869 0.4049 0.4207 0.4345 0.4463 0.4564 0.4649 0.4719 0.4778 0.4826 0.4864 0.4896 0.4920 0.4940 0.4955 0.4966 0.4975 0.4982 0.4987 0.02 0.0080 0.0478 0.0871 0.1255 0.1628 0.1985 0.2324 0.2642 0.2939 0.3212 0.3461 0.3686 0.3888 0.4066 0.4222 0.4357 0.4474 0.4573 0.4656 0.4726 0.4783 0.4830 0.4868 0.4898 0.4922 0.4941 0.4956 0.4967 0.4976 0.4982 0.4987 0.03 0.0120 0.0517 0.0910 0.1293 0.1664 0.2090 0.2357 0.2673 0.2967 0.3238 0.3485 0.3708 0.3907 0.4082 0.4236 0.4370 0.4484 0.4582 0.4664 0.4732 0.4788 0.4834 0.4871 0.4901 0.4925 0.4943 0.4957 0.4968 0.4977 0.4983 0.4988 0.04 0.0160 0.0557 0.0948 0.1331 0.1700 0.2054 0.2389 0.2704 0.2995 0.3264 0.3508 0.3729 0.3925 0.4099 0.4251 0.4382 0.4495 0.4591 0.4671 0.4738 0.4793 0.4838 0.4875 0.4904 0.4927 04945 0.4959 0.4969 0.4977 0.4984 0.4988 0.05 0.0199 0.0596 0.0987 0.1368 0.1736 0.2088 0.2422 0.2734 0.3023 0.3289 0.3531 0.3749 0.3944 0.4115 0.4265 0.4394 0.4505 0.4599 0.4678 0.4744 0.4798 0.4842 0.4878 0.4906 0.4929 0.4946 0.4960 0.4970 0.4978 0.4984 0.4989 0.06 0.0239 0.0636 0.1026 0.1406 0.1772 0.2123 0.2454 0.2764 0.3051 0.3315 0.3554 0.3770 0.3962 0.4131 0.4279 0.4406 0.4515 0.4608 0.4686 0.4750 0.4803 0.4846 0.4881 0.4909 0.4931 0.4948 0.4961 0.4971 0.4979 0.4985 0.4989 0.07 0.0279 0.0675 0.1064 0.1413 0.1808 0.2157 0.2486 0.2794 0.3078 0.3340 0.3577 0.3790 0.3980 0.4147 0.4292 0.4418 0.4525 0.4616 0.4693 0.4756 0.4808 0.4850 0.4884 0.4911 0.4932 0.4949 0.4962 0.4972 0.4979 0.4985 0.4989 0.08 0.0319 0.0714 0.1103 0.1480 0.1844 0.2190 0.2517 0.2823 0.3106 0.3365 0.3599 0.3810 0.3997 0.4162 0.4306 0.4429 0.4535 0.4625 0.4699 0.4761 0.4812 0.4854 0.4887 0.4913 0.4934 0.4951 0.4963 0.4973 0.4980 0.4986 0.4990 0.09 0.0359 0.0753 0.1141 0.1517 0.1879 0.2224 0.2549 0.2850 0.3133 0.3389 0.3621 0.3830 0.4015 0.4177 0.4319 0.4441 0.4545 0.4633 0.4706 0.4767 0.4817 0.4857 0.4890 0.4916 0.4936 0.4952 0.4964 0.4974 0.4981 0.4986 0.4990 39 Probability Analysis of a Project Network Z value of -.74 corresponds to probability of .2704 (table of areas under the curve). Therefore, the probability of completing the project in 20 weeks is .5000 - .2704 = .2296. Z= x-µ = 20 - 22 2.69 P = .2704 .5 - .2704 = .2296 Z= -.74 (20 weeks) = 22 weeks Time (Duration) 40 Cost – Benefit Analysis 41 Cost – Benefit Analysis Given an amount of capital to invest, what is the cost and what is the benefit? • Project Owner’s perspective ~ is the project worth doing, or do we invest in something else, like another project or the market? • Project Manager’s perspective ~ what do I do with money waiting to be spent on the project – keep it in the bank, or invest it? 42 Cost - Benefit Project – replace old computerized production control system for an auto assembly plant • The project will cost $3M over 3 years and save $7M over 10 years • However, if we invest $3M over ten years, we make $8M, but lose $5M in extra costs from the outdated system ITEM BENEFIT ($M) COST ($M) GAIN or (LOSS) (Benefit-Cost) New System 7 (in savings) 3 (install new system) 4 Old System 8 (from investment) 5 (using old system) 3 43 Earned Value Analysis (EVA) Measures progress of a project in terms of: • Planned Value (PV) or Budgeted Cost Work Scheduled (BCWS) – what is supposed to be done • Earned Value (EV) or Budgeted Cost, Work Performed (BCWP) – what has actually been done • Actual Cost (AC) or Work Performed (ACWP) – actual labor and materials expended 44 Earned Value - Example Project: Build a deck PV: 40 labor-hours x $20/hr = $800 + $600 materials $1,400 PV (BCWS) Changes after work begun: Labor rate now $22/hr, materials price increase to $700, project only 95% completed after 40 hours EV: 95% completed x $1,400 = $1,330 EV(BCWP) AC: 40 hrs x $22/hr = $880 labor + 700 materials $1,580 AC (ACWP) 45 Earned Value Should be proportionate to project time Project Time Monitoring Schedule 1 week 1 month 6 months > 6 months Daily Twice weekly Weekly Monthly 46 Project Costs & Project Crashing 47 Project Crashing and Time-Cost Trade-Off Project crashing is a method for shortening project duration by reducing one or more critical activities to a time less than normal activity time. Achieved by devoting more resources to ‘crashed’ (compressed) activities However, total cost of project will increase. Crashing cost – original cost plus cost of additional resources Decision to crash is based on analysis of trade-off between time and cost. 48 Project Crashing Project crashing costs and indirect costs have an inverse relationship. Indirect costs decrease as the project duration crashes (decreases) while Direct costs increase. Optimal project time is at minimum point on the total cost curve. 49 Optimum Time-Cost Trade-Off Optimum project Time is at minimum Total Cost $ TIME Crash Cost – Time Tradeoff Crash Cost per Unit of Time Saved Project crash cost is Activity Planned Duration Crash Time Planned Cost Crash Cost Time Saved (weeks) Crash Cost per Week (*Crit. Path) (weeks) (weeks) 1* 12 7 $3,000 $5,000 5 $400 2* 8 5 2,000 3,500 3 500 3 4 3 4,000 7,000 1 3,000 4* 12 9 50,000 71,000 3 7,000 5 4 1 500 1,100 3 200 6 4 1 500 1,100 3 200 7* 4 3 15,000 22,000 3 7,000 TOTAL 69 75,000 108,700 21 (Crash CostPlanned Cost/Time Saved) 51 Project Cost Each activity incurs a cost. Project cost is total of costs of all activities $3000 $2000 Project Activity Costs 2 8 Total Cost = $75,000 $50,000 4 12 1 12 $4000 3 4 $15,000 $500 5 4 $500 7 12 6 4 52 Project Cost Each activity incurs a cost. Project cost is total of costs of all activities $2000 $3000 2 8 Project Activity Costs $50,000 4 12 1 12 $4000 3 4 $15,000 $500 5 4 $500 7 4 6 4 53 Project Cost Depending on which Critical Path activities are crashed, a new Critical Path could emerge $2000 $3000 2 8 Project Activity Costs $50,000 4 12>9 1 12 $4000 3 4 $500 5 4 $15,000 $500 7 4 6 4 54 End 55 PERT/CPM on MS Project™ 2003 56 Analysis with Microsoft Project (1 of 13) Microsoft Project handles only AON networks. 57 Analysis with Microsoft Project (2 of 13) 58 Analysis with Microsoft Project (3 of 13) 59 Analysis with Microsoft Project (4 of 13) Exhibit 8.6 60 Analysis with Microsoft Project (5 of 13) Figure 8.7 61 Analysis with Microsoft Project (6 of 13) 62 Analysis with Microsoft Project (7 of 13) Exhibit 8.9 63 Analysis with Microsoft Project (8 of 13) 64 Analysis with Microsoft Project (9 of 13) Exhibit 8.11 65 Analysis with Microsoft Project (10 of 13) Figure 8.12 66 Analysis with Microsoft Project (11 of 13) 67 Analysis with Microsoft Project (12 of 13) Exhibit 8.14 68 Analysis with Microsoft Project (13 of 13) Exhibit 8.15 69 Formulating PERT/CPM as a Linear Programming Model 70 Linear Programming Model The objective is to minimize the project duration (i.e., the critical path time). General linear programming model with AOA convention: Minimize Z = xi i 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 71 Project Crashing with QM for Windows Exhibit 8.16 72 The CPM/PERT Network Example Problem Formulation and Data (1 of 2) Figure 8.24 CPM/PERT Network for the House-Building Project with Earliest Event Times 73 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 x i, x j 0 74 The CPM/PERT Network Example Problem Solution with Excel (1 of 4) B6:B12 Exhibit 8.17 75 The CPM/PERT Network Example Problem Solution with Excel Solver Exhibit 8.18 76 The CPM/PERT Network Example Problem Solution with Excel Solver Exhibit 8.19 77 The CPM/PERT Network Example Problem Solution with Excel Solver Exhibit 8.20 78 Project Crashing with Linear Programming Example Problem – Model Formulation Objective is to minimize the cost of crashing 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 Minimize Z = $400y12 + 500y23 + 3000y24 + 200y45 + 7000y46 + 200y56 + 7000y67 subject to: y12 5 y23 3 y24 1 y34 0 y45 3 y46 3 y56 3 y67 1 y12 + x2 - x1 12 y23 + x3 - x2 8 y24 + x4 - x2 4 y34 + x4 - x3 0 y45 + x5 - x4 4 y46 + x6 - x4 12 y56 + x6 - x5 4 x67 + x7 - x6 4 x7 30 xi, yij ≥ 0 79 Project Crashing with Linear Programming Excel Solution (1 of 3) Exhibit 8.21 80 Project Crashing with Linear Programming Excel Solver (2 of 3) Exhibit 8.12 81 CPM/PERT Analysis with QM for Windows & Excel QM (1 of 2) 82 CPM/PERT Analysis with QM for Windows & Excel QM (2 of 2) Exhibit 8.1 83 Project Crashing with Linear Programming Excel Solver (3 of 3) Exhibit 8.23 84 Project Crashing and Time-Cost Trade-Off Example Problem (2 of 5) Crash cost and crash time have linear relationship: total crash cost/total crash time = $2000/5 = $400/wk Figure 8.20 Time-Cost Relationship for Crashing Activity 1 85 House Building Project Example No. Activity Predecessor Duration (Months) 1. Design house and obtain financing - 3 2. Lay foundation 1 2 3. Order Materials 1 1 4. Build house 2, 3 3 5. Select paint 2, 3 1 5 1 4, 6 1 6. Select carpet 7. Finish work 86 Project Crashing and Time-Cost Trade-Off Normal Activity Times and Activity Crashing Costs 87 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 88