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From Russia With Love:

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From Russia With Love: Truly Integrated Project Scope, Schedule, Resource and Risk Information Vladimir Liberzon, PMP and Russell D. Archibald, PMP – PowerPoint PPT presentation

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Title: From Russia With Love:


1
From RussiaWith Love
  • Truly Integrated
  • Project Scope, Schedule, Resource and Risk
    Information
  • Vladimir Liberzon, PMP
  • and Russell D. Archibald, PMP

2
Need for Integrated Project Scope, Schedule,
Resource and Risk Information
  1. Project performance estimation that includes all
    valuable factors
  2. Reliable estimates of future project results
  3. Early warning of potential problems
  4. Proper motivation for activity performance
    sequencing resource allocation

3
Presentation Objectives
  • Describe proven methods used in Russia
  • Success Driven Project Management/SDPM Unique
    aspects
  • Discuss its application on a sample project
  • Compare SDPM with earned value critical chain
    methods

4
Success Driven Project Management/SDPM
  • Planning Stage
  • Calculate finish dates costs with the required
    probabilities of their successful achievement
  • Set target dates, costs other restrictions
  • Calculate success probabilities
  • Determine contingency reserves
  • Execution and Control
  • Calculate current probabilities of achieving
    goals
  • Track success probability trends
  • Manage contingency reserves

5
Success Probability
  1. System forecasts resulting required resources
    contingency reserves based on user defined
    acceptable probability of success to meet
    specific scope, schedule cost targets
  2. System calculates the probability of meeting
    imposed targets (success probabilities)

6
The Project Planning Dilemma
  • Goals
  • Complete project ASAP with minimum cost, also
  • Develop plan with guaranteed 100 success
  • But 100 plan will not be competitive today

7
Resolving the Dilemma
  • Competitive, realistic plan must
  • Make success of project probable (something less
    than 100)
  • But still make it acceptable to project
    stakeholders
  • Requires evaluation negotiation of various
    target success probabilities leading to
    well-informed decision to proceed

8
Resource Critical Path/RCP
  • True (resource) critical path must reflect ALL
    schedule constraints resource, finance, supply,
    calendar, imposed dates
  • All constraints must be considered in both
    forward backward passes

9
All Project Information Is Inter-related
  • Project scope affects schedule, resources, cost,
    risk
  • On many projects this information is not truly
    integrated because
  • Separation of responsibilities
  • Most PM software does not properly integrate and
    calculate it

10
Eight Integration Methods Used
  • Systematic scope definition (indentured
    structures)
  • Network planning
  • Resources
  • Consumable, renewable, utilized produced
  • Units, teams/crews, interchangeable units or
    crews
  • Assigned to project activities
  • Constraints in both forward backward passes

11
Eight Integration Methods (Contd)
  • Activity durations calculated scope or volume
    rate
  • 5. True (resource) critical path calculated
  • Logical schedule constraints
  • Resource, financial supply limitations in both
    the forward and backward passes

12
Eight Integration Methods (Contd)
  • 6. Risk uncertainties simulated probability
    distribution for main project results (project
    its main phases finish dates, costs, resource
    requirements)
  • 7. Actuals reported compared, contingency
    reserves tracked

13
Eight Integration Methods (Contd)
  • Current probabilities of success calculated and
    trends determined for
  • Schedules
  • Costs
  • Resources

14
Methods Unique to SDPM
  1. Multiple breakdown structures
  2. Resource information analysis
  3. Activity duration calculation or estimation
  4. Resource critical path, resource floats,
    resource contingency reserves
  5. Risk simulation success probability analysis
  6. Success probability trends

15
1. Multiple Project/Work Breakdown Structures
  • Life cycle
  • Deliverables
  • Physical areas
  • Responsibilities
  • Functional type of work
  • Cost account
  • Contract
  • Others

16
2. Resource Information Analysis
  • Two types
  • Consumable materials, supplies other
    expendables
  • Renewable labor, equipment, facilities
  • Units, teams, or assignment pools
  • Norms for resource productivity
  • May be utilized or produced

17
3. Activity Duration Calculation or Estimation
  • Activity volume is estimated (any measurable
    units)
  • Volume often used as initial estimate duration
    calculated using resource productivity factors
  • Uncertainties forecast by varying productivity
    factors

18
4. Resource Critical Path
  • True critical path reflects ALL schedule
    constraints
  • Network logic, resource, finance, supply,
    calendar, imposed dates
  • Activity float must reflect ALL constraints
  • Most PM software packages ignore resource
    constraints on backward pass incorrect critical
    path

19
4. Resource Critical Path/RCP (Contd)
  • Activity resource float resource critical path
    reflect resource constraints during backward pass
  • Activity resource float can be used feasibly
  • Shows possible delay considering set of available
    resources
  • Adding financial supply constraints to the
    Critical Chain definition you then have RCP

20
5. Risk Simulation Success Probability Analysis
  • Single, deterministic estimates produce plans
    with low probability of success
  • Risk simulation produces more reliable results
  • Risk simulation may be based on Monte-Carlo
    approach (impossible to use for large projects)
    or based on 3 scenarios approach

21
5. Risk Simulation Success Probability Analysis
(Contd)
  • 3 estimates are made for
  • Resource usage or productivity rates
  • Work scope volume
  • Activity duration (if estimated directly)
  • Cost estimates
  • Calendar/weather variation

22
5. Risk Simulation Success Probability Analysis
(Contd)
  • Identified risk events are estimated to reflect
    their consequences, including risk response plans
    in optimistic, most probable or pessimistic
    project scenarios.
  • All three scenarios are calculated.
  • The probability curves are rebuilt using the
    three values obtained.

23
5. Risk Simulation Success Probability Analysis
(Contd)
  • Determine the desired probability of meeting
    project finish dates, costs and resource
    requirements
  • Obtain desired project finish date, budget,
    resource requirements
  • These data form basis for negotiating approval
    to proceed

24
5. Risk Simulation Success Probability Analysis
(Contd)
  • Negotiations may establish new targets
  • Success probability is defined as the probability
    of meeting approved targets
  • Dates, cost, quantity
  • Success probability is the best indicator of
    current project status during execution

25
5. Risk Simulation Success Probability Analysis
(Contd)
  • Target schedule is the backward (from the target
    dates) resource constrained schedule using most
    probable estimates
  • The optimistic schedule is used for setting task
    schedules for project implementers
  • Contingency reserves or buffers
  • Difference between activity start times (or cost,
    material requirements) in the optimistic and
    target schedules

26
6. Success Probability Trends
  • Success probabilities are calculated periodically
    stored
  • Their trends show current project status
  • Negative (downward) success probability trend
    indicates corrective action needed
  • Positive success probability trend indicates
    performance is OK

27
6. Success Probability Trends (Contd)
  • Success probabilities change due to
  • Performance results
  • Scope changes
  • Cost changes
  • Risk changes
  • Resource changes

28
6. Success Probability Trends (Contd)
  • Project managers are encouraged to solve
    uncertainties ASAP
  • This can increase success probabilities even with
    activity finish delays cost overruns
  • Postponing problem activities leads to negative
    trends in success probabilities
  • This attribute of success probability trends is
    especially useful in new product development
    project management

29
Illustration Software Purchase Project
  • Our forum discussion now turns to sample project
    Software Purchase
  • This project consists of 10 activities including
    2 milestones and uses 3 resources
  • Resource productivities were estimated with 30
    reliability. Thus productivities in the
    pessimistic version were 30 lower and in the
    optimistic version 30 higher than in the most
    probable version

30
Illustration Software Purchase Project
Target Schedule
31
Illustration Software Purchase Project
  • Lets assume that the actual productivity of the
    expensive resource was 20 higher than estimated
    and the low cost resource worked with a 20 lower
    productivity than expected
  • Lets consider the most probable version as the
    baseline. The baseline cost is 66,220, Target
    cost (57 probability) is 70,000
  • Next slide shows the success probability trends
    if our assumptions were true

32
Success Probability Trendsfor Software Purchase
Project
33
EVA Trendsfor Software Purchase Project
  • Next slide shows Cost Performance Index/CPI
    Schedule Performance Index/SPI trends for the
    Software Purchase project

34
CPI SPI Trendsfor Software Purchase Project
35
SDPM and Earned Value Analysis
  • SDPM success probability trends reflect
    performance results plus network dependencies
    project risks
  • EVA reflects only performance results
  • In the Sample project
  • SPI exceeds 100 on August 11
  • But on August 11 SPDM shows the probability of
    meeting baseline finish date is equal to zero
    (next slide)

36
Success Probability Trendsfor Software Purchase
Project
37
Earned Value Analysis
  • EVA approach is not totally integrated
  • EVA considers sunk costs but not
  • Network logic dependencies
  • Project risks
  • Resource performance
  • EVA problems are illustrated in the following
    slides for the sample project

38
Sample Project Gantt Chart
39
EVA of Sample Project
  • If activity 3 is started first (in spite of the
    Gantt chart schedule) then after the first week
    the SPI will be 10 or 1000
  • But on-schedule completion will be impossible!

40
EVA of Sample Project
Parameter Value
AC 100
EV 100
PV 10
SV 90
CPI 1
CPI 100
SPI 10
SPI 1000
41
Using EVA
  • Recommend applying EVA to critical path
    activities only
  • Cannot use EVA from one project phase to forecast
    results of another phase if resources are
    different.

42
Common Features SDPM Critical Chain Method/CCM
  • Resource critical path is the same as Critical
    Chain if we add financial and supply constraints
    to the Critical Chain definition
  • CC project buffer is analogous to SDPM
    contingency time reserve
  • Resource float is analogous to CC feeding
    buffers
  • Both approaches recommend using optimistic
    estimates to set schedule

43
Differences With Critical Chain
  • Dont agree that one should always avoid
    multi-tasking
  • Dont accept CC assumptions that
  • Critical chain never changes
  • Only one project drum critical resource
    exists
  • Our experience critical resources change in
    different project phases

44
Differences With Critical Chain
  • CC more qualitative than quantitative
  • Time cost reserve usage evaluation
  • SDPM Success probability trends show if reserves
    expended faster or slower than planned more
    effective than
  • CC Qualitative judgment whether buffers were
    properly utilized

45
Recommendations for Implementing SDPM
  • Simulate uncertainties to obtain probability
    distributions
  • Set desired target probabilities, then calculate
    requirements to meet them
  • Use these data to negotiate realistic commitments

46
Recommendations for Implementing SDPM (Contd)
  • Set agreed target dates costs, calculate
    success probabilities
  • Set optimistic targets for project implementers
    and manage calculated contingency reserves

47
Recommendations for Implementing SDPM (Contd)
  • Control risks, revise recalculate success
    probabilities reflecting progress, changes,
    risk estimation updates
  • Manage with success probability trends
  • Negative trends take corrective action
    regardless of current level of success
    probabilities

48
Conclusions
  • For effective project management, truly
    integrated information is required
  • Scope
  • Schedule
  • Resources
  • Cost
  • Risk

49
Conclusions (Contd)
  • Truly integrated information is practical to
    produce
  • Identifying the resource critical path and
    calculating success probability trends help to
    produce more successful project performance

50
Are These Methods Practical?
  • Over past 10 years SDPM was successfully applied
    to hundreds of projects in
  • Spider Project software automates the process

Aerospace Defense Banking Defense Engineering Construction Manufacturing Metallurgy Oil Gas Ship Building Software Development Telecommunications Others
51
Questions?
  • As time permits now,
  • During the remainder of the Congress
  • Via e-mail/Web
  • Vladimir Liberzon spider_at_mail.cnt.ru
  • Russ Archibald archie_at_unisono.net.mx
  • Info on Spider Project package
    www.spiderproject.ru

52
Thanks for Listening
  • We appreciate your comments
  • We look forward to further feedback and exchange
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