ch02-1
TRANSCRIPT
Copyright 2009 John Wiley & Sons, Inc.
Project Management
Selecting Projects Strategically
Ch #-Ch #-22
Problems With Multiple Projects
1. Delays in one project delays others because of common resource needs or technological dependencies
2. Inefficient use of resources
3. Bottlenecks in resource availability
Ch #-Ch #-33
Project Results
30 Percent canceledOver half 190 percent over budgetOver half 220 percent late
Ch #-Ch #-44
Challenges
Making sure projects closely tied to goals and strategy
How to handle growing number of projects
How to make projects successful
Ch #-Ch #-55
Project Management Maturity
Project management maturity refers to mastery of skills required to manage project competently
Number of ways to measureMost organizations do not do well
Ch #-Ch #-66
Project Selection and Criteria of Choice
Project selection…– Evaluating– Choosing – Implementing
Same process as other business decisions Projects that are consistent with the strategic
goals of the organization should be selected
Ch #-Ch #-77
Examples of Project Selection
A manufacturing firm chooses which machine to adopt in a process
A TV station selects which comedy show to run
A construction firm selects the best subset of potential projects
A hospital finds the best mix of beds for a new wing
Ch #-Ch #-88
Types of Companies
Companies considering projects fall into two broad categories:
1. Companies whose core business is completing projects
2. Companies whose core business is something else
They can also be broken down as:1. Companies looking at projects to do for others2. Companies looking at projects to do for
themselves
Ch #-Ch #-99
Project Companies
Must select which projects they will bid on Generally based on…
– Their expertise– Resource they have availability– Their chance of winning bid
Preparing a bid is expensive They do not want to waste that effort on bids
where they are unlikely to be successful
Ch #-Ch #-1010
Non-Project Companies
Must decide which potential projects they will pursue
Available capital is the major constraintProfitability is often the major criteriaMust evaluate approaches when there
is more than one project that can accomplish a goal
Ch #-Ch #-1111
Models
Models are used to select projectsAll models simplify realityThat is, they only look at the key
variables involved in a decisionThe more variables included in a
model, the more complex it becomesSimpler models usually work better
Ch #-Ch #-1212
Types of Models
Stochastic/Probabilistic Model– A model that includes the probabilities of events
occurring within the model. In other words, the same inputs might yield different outputs at different runs.
Deterministic Model– A model that does not include probabilities. Given
the same inputs, the outputs will always be the same.
Ch #-Ch #-1313
Criteria For Project Selection Models
Companies only want to undertake successful projects
Projects that fail waste resources and hurt profitability and competitiveness
Projects that succeed improve profitability and competitiveness
It is not possible to know ahead of time if a project will succeed or fail
In fact, there is a continuum of possible results from total success through absolute failure
Ch #-Ch #-1414
Criteria (Continued)
Companies need a way of weeding out the bad projects while keeping the good ones
No model can predict with absolute certainty What we want is a model with a “good batting
average”
Ch #-Ch #-1515
Model Criteria
RealismCapabilityFlexibilityEasy to use InexpensiveEasy to implement
Ch #-Ch #-1616
Realism
Needs to include all objectives of the firm Needs to include the firms expertise as well
as its limitations Needs to report results in a fashion that
allows different projects to be compared, e.g. how do we compare a project to lower production cost and one to raise market share
Ch #-Ch #-1717
Capability
Model needs to be sophisticated enough to deal with all projects– Varying resource requirements– Varying time periods– Varying probabilities of success
Needs to be able to select the optimum projects among all contenders
Ch #-Ch #-1818
Flexibility
Needs to be able to work with all projects
Needs to be updated as the firm and its environment evolves
Ch #-Ch #-1919
Easy to Use
Needs to be quick to gather the data and easy to use and understand
Easy to be able to “fit” the project in the model
Ch #-Ch #-2020
Inexpensive
Do not want the model to eat up all the savings that result from using the model
Expenses include the cost of writing and maintaining the model
Also includes the expense of gathering the data needed by the model
Ch #-Ch #-2121
Easy to Implement
This is less of an issue with modern spreadsheets
However, a model to be used to evaluate all the firm’s projects should be centrally maintained
Ch #-Ch #-2222
The Nature of Project Selection Models
Models turn inputs into outputs Managers decide on the values for the inputs
and evaluate the outputs The inputs never fully describe the situation The outputs never fully describe the
expected results Models are tools Managers are the decision makers
Ch #-Ch #-2323
Different Factors Affecting Outcome
Many factors affect the outcome of a project– Some are one-time factors
The cost of an item
– Others are reoccurring Maintenance
Not all factors are equally important Critical factors on one project may be trivial
on another project
Ch #-Ch #-2424
Predictors of Project Success
Expected profitability Technological opportunity Development risk Appropriateness of the project for the
organization
Ch #-Ch #-2525table_02_01
Project Evaluation Factors
Ch #-Ch #-2626
Types of Project Selection Models
Nonnumeric modelsNumeric models
Ch #-Ch #-2727
Nonnumeric Models
Models that do not return a numeric value for a project that can be compared with other projects
These are really not “models” but rather justifications for projects
Just because they are not true models does not make them all “bad”
Ch #-Ch #-2828
Types of Nonnumeric Models
Sacred Cow– A project, often suggested by top management,
that has taken on a life of its own. It continues, not due to any justification, but “just because.”
Operating Necessity– A project that is required in order to protect lives
or property or to keep the company in operation. Competitive Necessity
– A project that is required in order to maintain the company’s position in the marketplace.
Ch #-Ch #-2929
Types of Nonnumeric Models Continued
Product Line Extension– Often, projects to expand a product line are
evaluated on how well the new product meshes with the existing product line rather than on overall benefits.
Comparative Benefit– Projects are subjectively rank ordered based on
their perceived benefit to the company.
Ch #-Ch #-3030
Numeric Models
Models that return a numeric value for a project that can be easily compared with other projects
Two major categories:1. Profit/profitability
2. Scoring
Ch #-Ch #-3131
Profit/Profitability Models
Models that look at costs and revenues– Payback period– Discounted cash flow (NPV)– Internal rate of return (IRR)– Profitability index
NPV and IRR are more common
Ch #-Ch #-3232
Payback Period
The length of time until the original investment has been repaid by the project
A shorter payback period is better
Ch #-Ch #-3333
Payback Period Example
4000,25$
000,100$PeriodPayback
FlowCash Annual
CostProject PeriodPayback
Ch #-Ch #-3434
Payback Period Drawbacks
1. Does not consider time value of money
2. More difficult to use when cash flows change over time
3. Less meaningful over longer periods of time (due to time value of money)
4. Ignores cash flows beyond payback period
Ch #-Ch #-3535
Discounted Cash Flow
The value of a stream of cash inflows and outflows in today’s dollars
Also known as net present value (NPV) or just discounting
Widely used to evaluate projects Includes the time value of money Includes all inflows and outflows, not just the
ones through payback point
Ch #-Ch #-3636
Discounted Cash Flow Continued
Requires a percentage to use to reduce future cash flows– This is known as the discount rate or
hurdle rate or cutoff rateThere will usually be one overall
discount rate for the company
Ch #-Ch #-3737
NPV Formula
n
t tt
k
FA
101
(project) NPV
A0 Initial cash investmentFt The cash flow in time period t (negative for
outflows)k The discount raten The number of years of life
Ch #-Ch #-3838
NPV Formula Terms
A project is acceptable if NPV is positive A higher NPV is better The higher the discount rate, the lower the
NPV
Ch #-Ch #-3939
NPV Formula Including Inflation
0 1NPV (project)
1
n ttt
t
FA
k p
pt Predicted rate of inflation during period t
Ch #-Ch #-4040
NPV Example
A project requires $100,000 investment with a net cash inflow of $25,000 per year for a period of eight years, a required rate of return of 15% and an inflation rate of 3% per year.
Ch #-Ch #-4141
NPV Example
939,1$
03.015.01
000,25$000,100$ (project) NPV
8
1
t
t
Ch #-Ch #-4242
table_02_02
NPV Example
Ch #-Ch #-4343
Internal Rate of Return (IRR)
The discount rate (k) that causes the NPV to be equal to zero
The higher the IRR, the better– While it is technically possible for a series to have
multiple IRR’s, this is not a practical issue Finding the IRR requires a financial
calculator or computer IRR can also be found by trial and error In Excel “=IRR(Series,Guess)”
Ch #-Ch #-4444
Profitability Index
a.k.a. Benefit cost ratioNPV of all future cash flows divided by
initial cash investmentRatios greater than 1.0 are good
Ch #-Ch #-4545
Advantages of Profitability Models
Easy to use and understandBased on accounting data and
forecastsFamiliar and well understoodGive a go/no-go indicationCan be modified to include risk
Ch #-Ch #-4646
Disadvantages of Profitability Models
Ignore non-monetary factorsSome ignore time value of moneyDiscounting models (NPV, IRR) are
biased to the short-termPayback models ignore cash flow after
paybackSensitive to error in data
Ch #-Ch #-4747
Scoring Models
Unweighted factor modelWeighted factor model
Ch #-Ch #-4848
Unweighted Factor Models
Each factor is weighted the sameEasy to computeJust total or average the scores
Ch #-Ch #-4949
Unweighted 0-1 Factor Model Example
Figure 2-2
Ch #-Ch #-5050
Unweighted Factor Scoring Model
Give a score (point) to each criterion and sum them up
Select the project with the highest total score
Generally a five-point scale is used
Ch #-Ch #-5151
Unweighted Factor Scoring Model Example
Criterion: estimated annual profits
Score Performance level
5 Above $1,100,000
4 $750,001 to $1,100,000
3 $500,001 to $750,000
2 $200,000 to $500,000
1 Less than $200,000
Ch #-Ch #-5252
Unweighted Factor Scoring Model Example
Criterion: no decrease in quality of the final product Score Performance level
The quality of the final product is5 significantly and visibly improved4 significantly improved but not visible to buyer3 not significantly changed2 significantly lowered but not visible to buyer1 significantly and visibly lowered
Ch #-Ch #-5353
Weighted Factor (Scoring) Model
Each factor is weighted relative to its importance– Weighting allows important factors to stand out
A good way to include non-numeric data in the analysis
Factors need to sum to one All weights must be set up so higher values
mean more desirable Small differences in totals are not meaningful
Ch #-Ch #-5454
Weighted Factor Model
1
n
i ij jj
S s w
Si Total score of the ith projectsij Score of the ith project on the jth criterionwj Weight of the jth criterion
0 1 and 1j jjw w
Ch #-Ch #-5555
Weighted Factor Model ExampleAutomobile Selection
Table A
Ch #-Ch #-5656
Weighted Factor Model ExampleAutomobile Selection
Table B
Ch #-Ch #-5757
Weighted Factor Model ExampleAutomobile Selection
Figure A
Ch #-Ch #-5858
Weighted Factor Model ExampleAutomobile Selection
Figure B
Ch #-Ch #-5959
Advantages of Scoring Models
Multiple criteria can be usedSimple and easy to understandDirect reflection of managerial policyEasily altered to accommodate changesWeights of criteriaEasy sensitivity analysis
Ch #-Ch #-6060
Disadvantages of Scoring Models
Scores may not directly represent the value or utility
Elements are assumed to be independent
Unweighted models assume equal importance of all criteria
Ch #-Ch #-6161
Analysis Under Uncertainty—The Management of Risk
Everything to do with projects is risky Some projects, like R&D, are more risky than
others, like construction Risks include…
– The timing of the project and its associated cash flow
– Risk regarding the outcome of the project– Risk about the side effects
Ch #-Ch #-6262
Uncertainty
1. Pro forma financial statements, break-even charts
2. Risk analysis
3. Simulation (requires detailed probability information)
Ch #-Ch #-6363
Comments on the Information Base for Selection
A database must be created and maintained to furnish input data
Accounting data Measurements Uncertain information
Ch #-Ch #-6464
Accounting Data
1. Cost and revenue are linear
2. Cost-revenue data derived using standard cost standardized revenue assumptions
3. Costs may include overhead
Ch #-Ch #-6565
Measurements
1. Subjective versus objective
2. Quantitative versus qualitative
3. Reliable versus unreliable
4. Valid versus invalid
Ch #-Ch #-6666
Uncertain Information
Must estimate inputs for risk analysisThese inputs cannot be known exactly Inputs must be adjusted over time
Ch #-Ch #-6767
Project Portfolio Process (PPP)
Links projects directly to the goals and strategy of the organization
Means for monitoring and controlling projects
Ch #-Ch #-6868
Project Portfolio Process (PPP)
Identify non-projects Prioritize the available projects Limit the number of projects Identify the projects that best fit the
organization’s strategy Eliminate projects that incur high cost/risk Keep from overloading the resource availability Balance resources with needs
Ch #-Ch #-6969
PPP Steps
1. Establish a project council2. Identify project categories and criteria3. Collect project data4. Assess resource availability5. Reduce the project and criteria set6. Prioritize the projects within categories7. Select projects to be funded and held in reserve8. Implement the process
Ch #-Ch #-7070
Step 1: Establish a Project Council
Senior management The project managers of major projects The head of the Project Management Office Particularly relevant general managers Those who can identify key opportunities and
risks facing the organization Anyone who can derail the PPP later on
Ch #-Ch #-7171
Step 2: Identify Project Categories and Criteria
1. Derivative projects: incrementally different in product and process from existing offerings
2. Platform projects: major departures from existing offerings (ex: a new model of automobile, a new type of insurance plan)
3. Breakthrough projects: newer technology than platform projects (ex: use of fiber optic cables for data transmission, hybrid automobiles)
4. R&D projects: develop new technologies
Ch #-Ch #-7272
fig_02_10
Ch #-Ch #-7373
Step 3: Collect Project Data
Assemble the dataUpdate previous dataDocument assumptionsScreen out weaker projectsThe fewer projects that need to be
compared and analyzed, the easier the work
Ch #-Ch #-7474
Step 4: Assess Resource Availability
Assess both internal and external resources
Assess labor conservativelyTiming is particularly important
Ch #-Ch #-7575
Step 5: Reduce the Project and Criteria Set
Organization’s goals Have competence Market for offering How risky Potential partner Right resources Good fit
Use strengths Synergistic with
other projects Dominated by
another Has slipped in
desirability
Ch #-Ch #-7676
Step 6: Prioritize the Projects Within Categories
Apply the scores and criterion weightsConsider in terms of benefits first,
resource costs secondSummarize the returns from the
projects
Ch #-Ch #-7777
Step 7: Select the Projects to be Funded and Held in Reserve
Determine the mix of projects across the categories
Leave some resources free for new opportunities
Allocate the categorized projects in rank order
Ch #-Ch #-7878
fig_02_11
Ch #-Ch #-7979
Step 8: Implement the Process
Communicate resultsRepeat regularly Improve process
Ch #-Ch #-8080
Project Proposals
The project proposal is essentially a project bid
Putting together a project proposal requires a detailed analysis of the project
Project proposals can take weeks or months to complete
A more detailed analysis may result in not bidding on the project
Ch #-Ch #-8181
Project Proposal Contents
Cover letterExecutive summaryThe technical approachThe implementation planThe plan for logistic support and
administrationPast experience