Chapter 9

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to Lesson

Podcast

Play an AI-generated podcast conversation about this lesson
Download our mobile app to listen on the go
Get App

Questions and Answers

In the context of overall project risk analysis, what is the most critical reason for project sponsors and organizational stakeholders to seek relatively representative cost and schedule risk assessments?

  • To provide project managers with a comprehensive understanding of resource allocation, thereby maximizing project efficiency.
  • To create a baseline for subsequent risk assessments, ensuring consistency in risk management practices across various projects.
  • To comply with mandatory auditing requirements as dictated by international accounting standards.
  • To inform decisions regarding project approval, termination, or the implementation of high-level remedial actions such as adjusting project objectives or risk tolerances. (correct)

Why are direct aggregations of individual (qualitative) project risks typically deemed imprudent when deriving overall project risks, particularly in large, complex projects?

  • Because this approach leads to an overestimation of overall project risks.
  • Because regulatory compliance standards mandate a separate quantitative risk assessment, rendering the aggregation of qualitative risks redundant.
  • Because such aggregations often fail to account for interdependencies and synergistic effects among risks, leading to potentially inaccurate or misleading overall risk assessments. (correct)
  • Because qualitative risks are inherently subjective and cannot be quantified for meaningful aggregation.

How do overall (quantitative) project risk assessments fundamentally leverage individual (qualitative) risk identification and analysis to enhance project management effectiveness?

  • By validating the accuracy of individual risk assessments through a top-down quantitative approach.
  • By statistically correlating qualitative risk scores with quantitative project performance metrics.
  • By converting qualitative risk assessments into quantitative data through econometric modeling, enabling a more precise calculation of overall project risk exposure.
  • By using the insights from qualitative risk analysis to inform and prioritize individual risks, thereby guiding resource allocation and risk response strategies. (correct)

In the context of project risk management, when employing expert judgment for determining overall (quantitative) project risks, what critical measure should be adopted to mitigate potential biases arising from overbearing or overly opinionated subject matter experts (SMEs)?

<p>Utilizing the Delphi method to ensure anonymous input from each SME, fostering a more objective and balanced assessment. (B)</p> Signup and view all the answers

When estimating overall project cost and schedule risk by decomposing the project plan into mutually exclusive segments (i.e., major WBS elements or project phases), what is the most critical prerequisite for ensuring the accuracy and reliability of this approach?

<p>Developing a meticulously designed Work Breakdown Structure (WBS) with clearly defined, high-level interdependencies. (D)</p> Signup and view all the answers

What key factor most significantly influences the acceptability of overall project cost and schedule estimates derived independently by assessing Work Breakdown Structure (WBS) elements with expert judgment?

<p>The perceived credibility of the experts interviewed and the underlying data used to rationalize their estimates. (B)</p> Signup and view all the answers

How does the use of modeling and simulation tools align with augmenting project team capabilities in integrated project master scheduling, and what organizational support infrastructure is essential to leverage these tools effectively?

<p>Modeling and simulation demand a capable project planning team proficient in integrated project master scheduling, alongside organizational commitment to cover training and implementation costs. (B)</p> Signup and view all the answers

What inherent challenges are recognized to potentially impede the effective utilization of modeling and simulation tools for overall project risk assessment?

<p>Difficulties in acquiring knowledgeable resources and securing organizational support, alongside the potential for inaccurate or biased input data. (B)</p> Signup and view all the answers

In project risk assessment models built from the project's integrated master schedule (IMS), what role do task interdependencies play, and how are they incorporated to analyze cost or schedule risk?

<p>Task interdependencies, such as predecessor and successor relationships, are critical for modeling the flow of work and analyzing cost or schedule risks based on activity durations and dependencies. (C)</p> Signup and view all the answers

How are Monte Carlo simulations employed within the context of project risk assessment, and what fundamental output do they generate to aid in decision-making?

<p>By constructing a set of notional schedule runs derived from randomized task cost and/or durations based on probability distributions, generating histograms and cumulative probability curves for specific key end milestones. (A)</p> Signup and view all the answers

Within the application of project modeling and simulation, how can probability paths be strategically inserted into the project schedule to enhance the granularity of risk assessment?

<p>By enabling probability paths for activities that can significantly impact risk assessment results, such as sequential redesign/build/test 'spins' with decreasing probabilities of occurrence. (D)</p> Signup and view all the answers

When is it most appropriate to develop a customized probability distribution based on actual past data points in project modeling and simulation?

<p>When the data is representative of past efforts similar to those being estimated, lending greater credibility to the simulation results. (A)</p> Signup and view all the answers

What foundational element dictates the effectiveness of modeling and simulation in analyzing overall project risks, particularly concerning complexity, fidelity, and precision of results?

<p>The project's Integrated Master Schedule (IMS) aligned with a Work Breakdown Structure (WBS) that appropriately segregates work activities. (A)</p> Signup and view all the answers

What practical guidelines should be adhered to when implementing modeling and simulation to analyze overall project risks in a pragmatic and effective manner?

<p>Focusing on higher-level aggregate activities to reduce model complexity, committing to a worst-case schedule, and soliciting three-point estimates that bound extremes reasonably. (D)</p> Signup and view all the answers

When soliciting three-point estimates for task durations to refine project schedules, which strategy effectively mitigates unrealistic expectations and promotes buy-in from project team members?

<p>Requesting 10% confidence and 90% confidence durations for best-case and worst-case, respectively, to establish achievable targets. (B)</p> Signup and view all the answers

What potential risk is inherent in inputs where the best-case or worst-case estimate is identical to the nominal estimate, and how can this be addressed?

<p>It suggests a mistaken input, necessitating thorough normalization of the inputs received to filter out overly aggressive or conservative estimates. (A)</p> Signup and view all the answers

What critical form of evaluation does modeling and simulation enable, allowing project teams to identify influential factors affecting project cost and schedule performance using a 'Tornado Diagram'?

<p>Sensitivity analysis. (B)</p> Signup and view all the answers

Why might a project's original Gantt chart completion date exhibit a lower probability of achievement than initially projected, particularly in complex and highly uncertain projects?

<p>Because the average value of three-point distributions tends to be skewed to the right, and there can be multiple critical paths at the same time (merge bias). (A)</p> Signup and view all the answers

How does 'merge bias' manifest in project scheduling, and what implications does it have for project execution and overall risk assessment?

<p>Merge bias occurs when more than one critical path exists simultaneously, reducing the likelihood of meeting the project's schedule objectives; being aware of this effect in the planning and executing processes can literally save your project from a pending disaster. (B)</p> Signup and view all the answers

When a project team leverages modeling and simulation tools prior to establishing the Plan of Record (POR), what significant benefits are gained, and how does this proactive approach augment project planning?

<p>It serves as a robust project planning tool, likely revealing surprising cost and schedule risks, and iterating the integrated master schedule (IMS) a few times with simulation enables refinement before finalizing the baseline budget and schedule. (A)</p> Signup and view all the answers

In the context of overall project cost risk assessment, how does the application of modeling and simulation impact the range of probable results and the assessment of the 'nominal' (most likely) cost estimate derived from an interview process?

<p>Modeling and simulation result in a narrower range of probable outcomes and assign a specific probability to the nominal estimate. (C)</p> Signup and view all the answers

What consideration should guide the selection of a target probability level for overall project cost, especially when stakeholders exhibit a conservative, risk-averse stance?

<p>The 75% probability cost estimate, providing a buffer to account for potential risks. (B)</p> Signup and view all the answers

What common biases can affect schedule estimates? How can the likelihood that one's Gantt chart deterministic schedule will need more buffer be addressed and what steps should a project team take?

<p>Merge bias and three-point estimation bias; the project team should analyze overall project cost and/or schedule risk during the planning process and iterate the project plan, if necessary, before signing up for project cost and/or schedule commitments. (E)</p> Signup and view all the answers

In the framework of project risk management, how are 'What-if' analyses and design of experiments (DOE) employed to evaluate and refine project plans, and what strategic benefits do they offer?

<p>'What-if' analyses determine individual project risks that most impact project performance, and DOE evaluates different project plan changes to proactively address identified risks and determine cost-effective risk responses. (B)</p> Signup and view all the answers

How should project teams use project data collected over time and what is the relevance of this process to assessing future project risks?

<p>Estimating the future can greatly benefit from past project performance data, and if project information is consistently collected it can be assimilated to formulate credible distributions from which to make three-point estimates or custom distributions. (C)</p> Signup and view all the answers

What role do Figures of Merit or metrics play when monitoring and controlling projects using the modeling and simulation tool? How should they be tracked?

<p>Good figures of merit (or metrics) to track are the probabilities of achieving one or more important delivery milestones over time (e.g., on a monthly cadence), which basically equates to a measure of project risk over time, and can be a good indicator of project health. (A)</p> Signup and view all the answers

How can an organization bolster its ability to forecast upcoming risks for projects that feature a consistent output? What should be established to support the forecasting?

<p>For projects that are inherently complex and higher risks, the past analogous data (if they exist) will likely have broader distributions, but at least a credible risk assessment can be performed if the data exist; the key to collecting this type of project data is the establishment of consistent project WBSs, which likely need to be established as organizational project governance guidelines. (C)</p> Signup and view all the answers

Which methodologies are typically used to assess overall project risk and include key points such as project cost and schedule, knowledgeable individuals, and an integrated project master schedule?

<p>Interviewing and expert judgment and modeling and simulation tools and techniques . (A)</p> Signup and view all the answers

Within the realm of project management, what role does past project schedule performance data fill for predicting the future and what chapter should be consulted for further insight, according to the provided documentation?

<p>Past project data are potentially invaluable, and Chapter 12 should be consulted. (E)</p> Signup and view all the answers

What should project sponsors and organizational stakeholders do if their organization's tolerances shift over the course of a project?

<p>Review the risk assessment and take higher-level remedial actions (i.e., change project objectives). (C)</p> Signup and view all the answers

What is overall project risk usually influenced or affected by?

<p>Individual risks. (D)</p> Signup and view all the answers

What is the most common methodology that is used due to its complexity and relative low cost?

<p>Interviewing and eliciting expert judgement. (C)</p> Signup and view all the answers

When using expert judgement as a tool or technique for quantitative analysis, where does the process start?

<p>By providing the experts with final (or near-final) project plans. (B)</p> Signup and view all the answers

Why is it important to determine the credibility of experts when estimating overall project costs and schedule?

<p>The acceptability of the resulting estimates will be largely influenced by the credibility of the experts interviewed. (A)</p> Signup and view all the answers

What are some of the side benefits of implementing modeling and simulation tools into a project?

<p>Evaluating and determining individual project risk responses via &quot;what ifs&quot; and trade-off analyses. (C)</p> Signup and view all the answers

Why would a team look at cumulative probability curves in modeling and simulation work?

<p>Probabilities relative to achieving a particular cost target and/or schedule date, as well as the plotting of cumulative probability curves. (B)</p> Signup and view all the answers

What is the primary input to the model when using modeling and simulation for analyzing overall project risks?

<p>The project's IMS. (D)</p> Signup and view all the answers

Flashcards

Overall Project Risk Analysis

Cost and schedule risk assessments that help project sponsors and stakeholders decide whether to approve, shut down, or remediate a project.

Scope of Overall Project Risk Assessment

Focuses primarily on project cost and schedule objectives while also considering scope and quality risks.

Methods for Assessing Overall Project Risks

Using techniques such as interviewing, expert judgment, modeling, and simulations to assess overall risks.

Aggregating Individual Project Risks

Not prudent to directly aggregate individual project risks to derive overall project risks.

Signup and view all the flashcards

Relationship Between Individual and Overall Risks

Detailed understanding of individual risks, and overall project risk can determine the priority that should be placed on particular individual risks.

Signup and view all the flashcards

Quantitative Analysis tools

A risk management technique involving the additional darker-shaded bubbles correspond to the three useful tools and techniques that have been tried and proven to aid in determining these risks.

Signup and view all the flashcards

Interviewing & Expert Judgement

The most commonly used methodology that is interviewing and eliciting expert judgment, mainly credited to low cost and complexity.

Signup and view all the flashcards

Modeling and Simulation

A methodology that can provide greater accuracy, but at the highest relative cost.

Signup and view all the flashcards

Expert Judgement

Leveraging knowledgeable authorities to determine overall project risks.

Signup and view all the flashcards

Delphi Method

A method to avoid biases, where each SME provides anonymous inputs for other SMEs to consider.

Signup and view all the flashcards

Estimating risk via plan segments

Breaking a project plan into mutually exclusive segments which requires a well-thought-out WBS with fairly well-identified, high-level interdependencies.

Signup and view all the flashcards

Modeling and Simulation

Using tools and techniques for assessing overall project cost and schedule risks.

Signup and view all the flashcards

Requirements for Modeling and Simulation

Requires capable teams, organizational support & can bolster project team cost and/or schedule performance.

Signup and view all the flashcards

Project Risk Assessment Models

Usually built from integrated master scheduling (IMS) containing all tasks/activities and their interdependencies for cost or schedule risk assessment.

Signup and view all the flashcards

Easiest Method of Modeling

A method using triangular distributions based on three-point estimates (minimum, most likely, maximum duration) for each activity.

Signup and view all the flashcards

Simulation Composition

A set of notional schedule runs resulting from different potential combinations of task cost/durations derived from probability distributions.

Signup and view all the flashcards

Simulation Outputs

Histograms and cumulative probability curves generated to see the results of simulation.

Signup and view all the flashcards

Tools that enable greater insight

Enables probability paths to be inserted into the schedule to gain greater insight into certain activities that can make a significant impact on the risk results.

Signup and view all the flashcards

Customized Distribution

Customize distributions for tasks & activities based on actual past data points to lend greater credibility to results.

Signup and view all the flashcards

Triangle Generation Distribution

Based on a nonzero percentage for the best-case estimate and a worst-case percentage that is less than 100%.

Signup and view all the flashcards

Primary Input to the Model

The project's IMS, consistent with a WBS.

Signup and view all the flashcards

Establishing Project Plan

Establish project plan by committing to the worst-case (90%) schedule & work to the best-case schedule (10% dates).

Signup and view all the flashcards

Rule of thumb

Project teams do not typically complete tasks ahead of schedule.

Signup and view all the flashcards

Three-Point Estimates

Bound the extremes in a reasonable way (10% & 90% confidence durations for best & worst-case).

Signup and view all the flashcards

Side Benefit of Normalizing

Normalizing inputs to side benefit of filtering out overly aggressive (optimistic) or overly conservative (pessimistic) inputs.

Signup and view all the flashcards

"What-If" Analysis

Process that enables 'What ifs' to determine risks with greatest impact on project cost & schedule performance.

Signup and view all the flashcards

Tornado Diagram

Diagram identifies tasks that most influence the probability distribution for a particular milestone.

Signup and view all the flashcards

Diagram Priorities

The top tasks should be priority for risk-response actions.

Signup and view all the flashcards

Skewed to the right

Lower probability is due to average value of three-point distributions skewed to the right.

Signup and view all the flashcards

Merge bias

The scheduling phenomenon that has to do with having more than one critical path at the same time.

Signup and view all the flashcards

Project Progress effects

When the project progress the model changes and the simulation results will reflect these changes.

Signup and view all the flashcards

Track Deliverables

Track probabilities of achieving delivery milestones over time to measure project risk over time indicator of project health.

Signup and view all the flashcards

Organization assistance.

Organizational assets can provide substantial benefits to project planning and assistance.

Signup and view all the flashcards

Estimating benefits

Estimating future is benefited by analyzing project performance data.

Signup and view all the flashcards

Assess credibility

A type of data that benefits assessing project risk as long as project information is consistently collected.

Signup and view all the flashcards

Gather information.

The key to collecting type of project data

Signup and view all the flashcards

Project Cost and Schedule

Analyses where the two primary concerns are project cost and schedule.

Signup and view all the flashcards

Data Credibility

The credibility of results of analyses depend on this

Signup and view all the flashcards

Methodology tools.

Require an integrated project master schedule to start from.

Signup and view all the flashcards

Individual Risk Evaluations

Evaluating individual risk responses via 'what ifs' and trade-off analyses.

Signup and view all the flashcards

Study Notes

  • Project sponsors need cost and schedule risk assessments to approve projects, shut projects down, or take remedial actions
  • Project managers should provide insights via useful tools and techniques
  • Overall project risk assessment focuses on project cost and schedule objectives, and incorporate scope and quality risks as well
  • Methods like interviewing, expert judgment, modeling, and simulation can assess overall project risks

Performing Overall (Quantitative) Project Risk Analysis

  • Assessing overall project risk is difficult for large, complex projects
  • Aggregating individual qualitative risks is not prudent to derive overall project risks
  • Overall quantitative project risk assessments benefit from individual qualitative risk identification and analysis, and vice versa
  • Overall project risk can determine the priority to place on individual qualitative risks
  • Overall project risk is driven by individual risks and the team should account for these
  • Risk Management Tools and Techniques for Quantitative Analysis
  • Interviewing and eliciting expert judgment is the most common methodology
  • Modeling and simulation provides greater accuracy at a higher cost
  • Determining overall quantitative project risks can be done via raw expert judgment
  • Relying on opinion may be difficult but organizations shouldn't discount wisdom of subject matter experts

Determining Overall Risk Via Interviewing and Expert Judgment

  • SMEs include project managers, team members, technical gurus, managers, sponsors, and consultants
  • The process starts by providing experts with final project plans including individual project risk assessments
  • Use Delphi method - each SME provides anonymous inputs for others to consider,- to address personal bias
  • Estimating overall project costs and schedule risk can be achieved by breaking it into project segments through WBS elements

Determining Overall Risk Via Modeling and Simulation

  • Independently assess WBS elements, then combine results to arrive at low, medium, and high overall project cost estimates
  • These tools and techniques are becoming more user-friendly, reducing costs and improving ease of use
  • Project risk assessment models are built of the project's Integrated Master Scheduling (IMS)
  • The schedule has the tasks/activities on or near the project critical path, as well as their interdependencies
  • A cost probability distribution is needed for each item for cost risk assessment
  • Task/Activity durations distribution needed for schedule risk assessment
  • Modeling should use triangular distributions based on three-point estimates for each activity
  • Simulation comprises of notional schedule runs from task cost/durations that are derived from probability distributions
  • Creates Monte Carlo simulation
  • Histograms and cumulative probability curves are generated for specific milestones
  • Cost-related histograms accumulate results that fall into money bins
  • Schedule-related histograms reflect results accumulated for dates

Modeling and Simulation Tools

  • Some modeling and simulation tools enable one to insert probability paths into schedules
  • Probability distribution functions can be tailored for the tasks/activities
  • Develop customized distribution based on actual past data points for customized distribution
  • Use triangle-generation distribution based on a percentage for best and worst-case estimates
  • Enhancements can be made relative to the output, plotting and tracking historical milestone
  • The primary input to the model is the project's IMS and WBS as it segregates work activities
  • The more complete/accurate the IMS, the more precise the results

Guidelines

  • Focus on higher-level aggregate activities
  • Establish the project plan by committing to the worst (90%) case-schedule
  • Work to the best (10%) case schedule
  • Teams don't complete tasks ahead of schedule
  • Commit to the worst-case and work to the best-case dates for critical paths
  • Ask for three-point estimates that bound the extremes in a reasonable way
  • Normalizing the inputs received helps produce the side benefit of filtering out inputs that are overly aggressive or conservative
  • Enable "What-Ifs" performed to determine the individual risks that have greatest impact on overall project performance
  • Tornado Diagram identifies the tasks that have the most influence on the probability distribution for a particular milestone
  • The tasks are displayed top to bottom in order of criticality
  • Identifies which tasks should be given the highest priority for risk-response actions
  • There’s a potential issue in the project's Gantt Chart because the average value of the three-point distributions are right skewed

Modeling and Simulation Analysis

  • Analysis can uncover basic issues with the project schedule structure
  • This can determine the drivers behind probabilistic results and has an additional benefit relative to risk management
  • "What-if" analyses can be performed to determine the individual project risks that have the most impact
  • Trade-off analyses can evaluate project plan changes to proactively address risks
  • Design of experiments (DOE) analysis can lead to project risk information
  • It's is useful to run simulations for both project schedule and cost at the same time
  • "What-if" analysis can be done to determine the appropriate project plan to optimize those priorities

Modeling and Simulation - Monitoring and Contro

  • As project progresses and schedule details are adjusted, the simulation results will reflect these changes
  • Track the probabilities of achieving delivery milestones, and can be a good health indicator
  • Organizational assets provide benefits to planning and risk assessment
  • Past project data are invaluable especially for organizations that develop similar products
  • Assessing project risk can benefit from the data if information is consistently collected,
  • Formulate distributions to make three-point estimates or customized distributions
  • Data from follow on deployments are low risk
  • Projects can use historic project data if consistent WBSs have been established as organizational governance guidelines

Summary

  • Expert Judgement is common, modeling and simulation is accurate
  • The two primary concerns for projects are cost and schedule
  • Methodologies require knowledgeable, experienced individuals, and inputs/outputs
  • Fidelity to schedule has to do with an integrated project master schedule
  • Modeling and simulation tools provide many benefits.
  • Assessing and modifying the project plan
  • Determining which risks make the most impact
  • Determining individual risk responses through trade-off analysis
  • Providing the team with supplemental project monitoring and controlling

Studying That Suits You

Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

Quiz Team

Related Documents

More Like This

Risk Assessment Techniques
39 questions

Risk Assessment Techniques

LivelyHeliotrope8921 avatar
LivelyHeliotrope8921
Risk Management Analysis
16 questions

Risk Management Analysis

ProminentLepidolite4454 avatar
ProminentLepidolite4454
Project Risk Analysis
39 questions

Project Risk Analysis

ResilientSerpentine2845 avatar
ResilientSerpentine2845
Use Quizgecko on...
Browser
Browser