Risk and Uncertainty in Construction

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1 Is it really important to consider risk Risk and Uncertainty in Construction ? Outline The Impact of Uncertainty Risk Concepts Risk Management: Risk identification Risk Analysis (Qualitative and Quantitative) Risk Response Planning Risk Monitoring and Control Risk Management Techniques PERT, Monte Carlo Simulation, Decision Trees,… Sample Applications

Transcript of Risk and Uncertainty in Construction

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Is it really important to consider risk

Risk and Uncertainty in Construction

?

Outline

The Impact of Uncertainty Risk Concepts Risk Management:

Risk identification Risk Analysis (Qualitative and Quantitative) Risk Response Planning Risk Monitoring and Control

Risk Management Techniques PERT, Monte Carlo Simulation, Decision Trees,…

Sample Applications

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The Impact of Uncertainty

A (10)

B (9)

D (10)

C (10)

Consider the following small project

The Impact of Uncertainty

A (10)

B (9)

D (10)

C (10)

0

10

10

10

19

20

20 30

30 20

20

20 11

10

10 0

Total Project Duration = 30

What is the impact if you are uncertain about the durations?

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The Impact of Uncertainty

Consider small uncertainty in durations; Actual durations = + or – one day from given

Activity Theoretical Duration Actual Duration

A 10 9, 10, or 11

B 9 8, 9, or 10

C 10 9, 10, or 11

D 10 9, 10, or 11

An Excel Model

The Impact of Uncertainty

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The Impact of Uncertainty

The consequences of uncertainty represent risks

that might affect the project. This rises the need

for efficient

Risk Management

(Risk Identification, Analysis, Response, & Control)

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Concepts

Risk: The possibility of suffering loss (or harm) and the

impact of that loss on the involved party. Risk can be

characterized in terms of its Severity where:

Severity = Likelihood of Occurrence x Magnitude of the Impact.

Risk: Any event which is likely to affect (adversely) the

ability of project to achieve the defined objectives.

Concepts

Risk: A measure of the probability and consequence of not achieving a defined project goal (Kerzner 2001).

Risk = ƒ [Si, Pi, C] i = 1, 2, 3,……

Si: is a scenario of events that lead to hazard exposure (an unwanted change);

Pi: is the likelihood of scenario i; and

Ci: is the consequence of scenario.

Risk = ƒ [hazard, safeguard]

Risk increases with hazard but decreases with safeguard.

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Concepts

Opportunity: The possibility of realizing a favorable

outcome and the impact this outcome has on the

involved party. Opportunity is positive risk and can be

identified and managed in a similar way.

Uncertainty: The gap between the information required

to estimate an outcome and the information already

possessed by the decision maker.

Concepts

Risk Analysis: The process of identifying risk factors and

the quantification of those factors (estimating likelihood

and magnitude of impacts).

Risk Mitigation: The process of developing a plan to

respond or deal with risk on a project.

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Why Risk Analysis?

Minimize management by crisis

Minimize surprises and problems

Increase probability of project success

Better handling of true costs and schedules by properly estimating contingencies…

Risk Management

Definition: RM is the act or practice of dealing with risk. It is the

process by which risks to the project (e.g., to the scope,

deliverables, schedule, resources,…) are formally managed during

the project.

Processes: RM includes planning for risk, identifying and

analyzing risk, developing risk handling options, and monitoring

risks to determine how risks have changed.

Goal: minimizing potential risks while maximizing potential

opportunities and if properly conducted, reducing not

only the likelihood of an occurred event, but also the

magnitude of its impact.

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Risk Management

Risks Opportunities

Try to balance Risks and Opportunities

An orderly way of studying and

analyzing the project. More than

simply designing it…

Clear understanding of the project

objectives, all alternatives, and all

issues that need to be considered

during the design and

construction…

A comprehensive understanding of

all stakeholder issues, a probing of

internal experts and review of

similar projects…

Risk Management

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Characteristics of risk events

Risk is generally: “Magnitude dependent”.

The greater the payoff, the more the risk is acceptable…

“Value based”. Everyone sees risks differently.

Everyone has a different tolerance level for risk…

“Time dependent”. Risk is a future event, time affects its

perception. What is seen today as a risk may not be tomorrow…

More Characteristics

For risk to be an issue, the event and/or its outcome must be associated with a certain degree of uncertainty (the possibility).

In practice it is virtually impossible to avoid all risks.

Risks can be reduced and sometimes transferred (e.g. through contracts, financial agreements, allowances, insurance policies).

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Potential Risk & Knowledge Area

Risk Conditions Knowledge Area

Inadequate planning; poor resource allocation; poor integration management; lack of post – project review

Integration

Poor definition of scope or work packages; incomplete definitions of quality requirements; inadequate scope control.

Scope

Errors in estimating time or resource availability; poor allocation and management of float; early release of competitive product.

Time

Estimating errors; inadequate productivity, cost, change, or contingency control; poor maintenance, security, purchasing,…etc.

Cost

Poor attitude toward quality; substandard; design / materials / workmanship; inadequate quality assurance program.

Quality

Poor conflict management; poor project organization and definition of responsibility; absence of leadership.

Human Resources

Carelessness in planning or communication; lack of consultation with key stakeholders.

Communication

Ignoring risk; unclear assignment of risk; poor insurance management. Risk

Unenforceable conditions or contract clauses; adversarial relations Procurement

Evaluating Impact of a risk on Major project Objectives

Very High

0.8

High

0.4

Moderate

0.2

Low

.1

Very low

.05

Project objective

>20% cost increase

10-20% cost increase

5-10% cost increase

<5% cost increase

Insignificant

Cost increase

Cost

overall Schedule

slips >20%

overall Schedule slippage

10-20%

overall Schedule slippage

5-10%

Schedule slippage

< 5%

Insignificant

Schedule slippage

Time

Project end items is

effectively useless

Scope reduction

unacceptable to the client

Major areas of scope are

affected

Minor Areas of scope are

affected

Scope Decrease

barely Noticeable

Scope

Project end item is

effectively unusable

Quality reduction

unacceptable to the client

Quality reduction requires

client approval

Only very demanding applications are affected

Quality degradation

barely noticeable

Quality

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Process of Risk Management

Generally involves the following steps:

Risk Management Planning

Risk Identification

Risk Analysis

Qualitative

Quantitative

Risk Response Planning

Risk Monitoring & Control

Process of Risk Management

Risk Management Planning: Deciding how to approach, plan and execute the

risk management activities for a project.

Risk Identification: Determining which risks might affect the project

and determining their characteristics.

Qualitative Risk Analysis: Prioritizing risks for further analysis by assessing

and combining their probability of occurrence & impact.

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Process of Risk Management

Quantitative Risk Analysis: Numerically analyzing the effect of identified risks on

overall project objectives.

Risk Response Planning: Developing options and actions to enhance

opportunities and reduce threats.

Risk Monitoring & Control: Tracing identified risks, monitoring residual risks,

identifying new risks, executing risk response plans, and evaluating their effectiveness throughout the project life.

Risk Management

Risk Management

Planning

Risk Identification

Qualitative Analysis

Quantitative Analysis

Response Planning

Monitoring and Control

Inputs

System

Tools & Techniques

Outputs

Inputs

Outputs

System (e.g., RI)

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1. Risk Management Planning

Project Charter (Definition)

is a statement of the scope, objectives and participants in a project.

It provides a preliminary delineation of roles and responsibilities, outlines the project objectives, identifies the main stakeholders, and defines the authority of the project manager.

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The purpose of the project charter is to document:

Project scope and justification (reasons for undertaking the project)

Objectives and constraints of the project

Identities of the main stakeholders

High level risk management plan

Communication plan

Target project benefits

Budget, key resources required and project schedule.

Tools & Techniques:

Planning Meeting & Analysis

Meetings to develop risk management plan

Attendees include:

Project manager,

Selected team members and stackholders,

Others involved in managing risk planning & executing the project.

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Methodology.

Roles & responsibilities.

Budgeting.

Timing.

Risk categories.

Definition of risk Probability & impact.

Probability and impact matrix.

Revised stakeholders tolerance.

Reporting formats.

Tracking.

Output: Risk Management Plan

Describes how risk management will be structured and performed in the project. It includes:

Project

Project management

Organizational External Technical

Estimating

Planning

Controlling

Communication

Project dependencies

Resources

Funding

Prioritization

Subcontractors & Suppliers

Regulations

Market

Customer

Weather

Requirement

Technology

Complexity & interfaces

Performances & reliability

Quality

Risk Categories

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2. Risk Identification

(Proj. description, WBS, Cost & dur.

Estimate, staffing & procurement plan)

(Sources)

(Symptoms)

Risk Factor Definition: Identify every possible event or

issue that may cause harm to the project (from the

organization view point).

Risk identification is not a one time event, but it is to be

performed on a regular basis throughout the project.

Risk factors can be stated in the form: “…… may happen during the execution of …. which may impact

……”, or “ If …… occurs, then an impact to ….. will be realized.”

e.g. “If rock occurs during excavation then production rates

will be low.”

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Two types of risks should be addressed:

- Internal Risk – can be controlled by the project team – (i.e staff assignment, cost estimate, …)

- External risk – beyond the control of the project team

– (i.e. government actions, market, weather, …)

Risk Identification is also concerned with opportunities (positive outcomes) as well as threats (negative outcomes).

Tools & Techniques: A number of approaches can be used including:

Documentation Review (a structured review of all proj. documents)

Standard Checklists (based on historical information)

Comparison to other projects

Expert Interviews

Facilitated brainstorming sessions (traditional, alternative)

Delphi Technique (A facilitator uses questionnaire to solicit ideas

about major project risks from experts, summarize their responses

and re-circulate them for further comment)

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Root cause identification (Inquiry into the essential

causes of a project risks)

SWOT Analysis (sample)

Assumption Analysis (Tool for exploring the validity of assumption as they apply to the project).

Diagramming Techniques:

Cause & effect Diagrams.

Process flow Charts.

Influence Diagrams.

Causes and Effect diagram

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Check List of Construction Risk Drivers

Financial/economical Legal Political Environmental Communication Technological Construction Geotechnical Geographical

Output: Risk Register (check risk register sample)

List of identified risks.

List of potential responses.

Root cause of risk.

Updated risk categories.

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3. Qualitative Risk Analysis

Includes methods for prioritizing the identified risks for

further action such as Quantitative Analysis or Risk

response planning.

Assess the priority of identified risks using their

probability of occurrence and their corresponding impact

on project objectives if they occur.

Gets outputs from Risk Management Planning and Risk

identification process.

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Tools & Techniques: Interviews or meetings

Step1:Assess the Risk Probability and Impact.

Risk probability investigates the likelihood that a risk will occur, while risk impact investigates the effect on project objectives if the risk event occurs.

Risks with obviously low ratings of probability & impact will not be rated, but will be included on a watch list for future monitoring.

Step 2: Create Probability and Impact matrix.

Risk are prioritized for further quantitative analysis & response based on their risk rating.

The matrix specified combination of probability and impact that lead to rating the risks as low, moderate or high priority.

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ــــــــــ

ــــــــــ

ــــــــــ

high Medium low

Prob. Risk

ــــــــــ

ــــــــــ

ــــــــــ

high Medium low

impact

Risk

0.05 0.13 0.20 0.4 0.80 0.80 0.4 0.20 0.10 0.05 Impact

0.01 0.01 0.02 0.04 0.08 0.08 0.04 0.02 0.01 0.01 0.10

0.02 0.03 0.06 0.12 0.24 0.24 0.12 0.06 0.03 0.02 0.30

0.03 0.05 0.10 0.2 0.40 0.40 0.2 0.10 0.05 0.03 0.50

0.04 0.07 0.14 0.28 0.56 0.56 0.28 0.14 0.07 0.04 0.70

0.05 0.09 0.18 0.36 0.72 0.72 0.36 0.18 0.09 0.05 0.90

Opportunities Threats Probability

Probability and Impact Matrix

Impact (Ratio Scale) on an objective (e.g., cost, time, scope and quantity)

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Step 3: Check/Refinement

Data Quality (Risk Data Quality Assessment).

Is a technique to evaluate the degree of usefulness of risk data for risk management

Involves examining the degree to which the risk is understood and the accuracy, quality and reliability of the data about risk.

Risk Categories (by sources of risks, area of project affected, project phase,…etc).

Urgency (Risk Urgency Assessment)

Risks requiring near – term response may be considered more urgent to address

Output: Risk Register (Updates), includes:

Relative ranking or priority list of project risks. Risks grouped by categories. List of risk requiring response in the near term. List of risks for additional analysis and response. Watch lists of low priority risks. Trends in qualitative risk analysis results.

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4. Quantitative Risk Analysis

Performed on risks that have been prioritized during the Qualitative Risk Analysis.

Analyzes the effect of those risk events and assigns a numeric rating to those risks.

Risk Quantification should also be repeated after Risk Response Planning as well as Risk Monitoring & Control to determine if the overall project risk has been decreased.

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The process uses techniques such as: Monte Carlo Simulation & decision tree analysis to:

Quantify the possible outcomes for the project & their probabilities.

Assess the probability of achieving specific objectives.

Identify the most influential risks on the project & their relative impact.

Identify project cost, schedule, quality and scope given the project risks.

Tools & Techniques

1. Data Gathering & Representation Techniques

Interviewing

(Used to quantify the probability and impact of risks on project objectives).

Probability distributions

(Continuous probability distributions or discrete distributions can be used to represent uncertainty).

Common distribution types include the uniform, normal, Triangular, Beta distribution.

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Highest

(Pessimistic)

Most Likely

Lowest

(Optimistic)

WBS Element

10 6 4 Design

35 20 16 Build

23 15 11 Test

41 Total Project

Range of Project Cost Estimate ($)

0.1 0.1

0.0 0.0

Beta Distribution Triangular Distribution

Example of Commonly Used

Probability Distributions

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Expert Judgment

(Internal or external to the organization)

2. Quantitative Risk Analysis and Modeling Techniques

Sensitivity Analysis

Helps to determine which risks have the most potential impact on the project

Examines the extent to which the uncertainty of each project element affects the objective being examined when all other uncertain elements are held at their base line value.

Is carried out by identifying a project variable and giving that variable limits within which it is likely to vary.

Limitations: when changing a variable it assumes ceteris paribus (i.e. that all other things remain the same.

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Energy Cost

Design Changes

Operating efficiency

Construction Period

Exchange Rate

10 20 30 0 -10 -20 -30

Ca

sh

Ba

lan

ce

Change in variable (%)

Sensitivity Diagram

Expected Monetary value Analysis (EMV).

Is a statistical concept that calculates the average outcome when the future includes scenarios that may not happen.

The EMV for opportunities will be expressed as positive values, while those of risks will be negative.

EMV is calculated by multiplying the value of each possible outcome by its probability of occurrence and adding them together.

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Expected Monetary value Analysis (EMV) Decision Tree Diagrams

When we have a series of decisions where

the outcomes for one stage is important to

the next stage, we use decision trees.

0.2

0.3

0.5

Probability Node Decision Node

Alternatives

Decision Trees

Used when decisions are sequential, that is, one decision leads to another, and so on. Thus, the decisions occur over a period of time that extends to the future.

The technique assumes the probabilities of events are known and future consequences can be reasonably estimated.

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Decision Tree Diagram

Strong Demand

Weak Demand

Strong Demand

Weak Demand

BUILD OR UPGRADE?

BUILD NEW PLANT

UPGRADING EXISTING

PLANT

EMV OF THE DECISION 99 – 50 =$49

EMV of the Prob. Node 0.65 (200) + 0.35 (90) = $ 161.5 M

Computed: (Payoffs minus costs) along path

Input: scenario probability, reward if it occur.

Output: Expected Monetary value (EMV)

Input: cost of each option

Output: Decision Made (TRUE, FALSE)

Decision to be made

Net Path Value Chance Node Decision Node Decision Definition

65%

$200

35%

$90

65%

$120

35%

$60

-$120

-$50

EMV OF THE DECISION 161.5 – 120 = $ 41.5 M

EMV of The Prob. Node 0.65 (120) + 0.35 (60) =$99

True

False

Expected Monetary Value (EMV)

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Expected Monetary Value (EMV)

Modeling & Simulation

Uses a model that translates the uncertainties specified at a detailed level of the project into their potential impact on project objectives.

Monte Carlo Technique is one of the most common used simulation.

In a simulation, the project model is computed many time (iterated), with the input values randomized from a probability distribution function chosen for each iteration. Then a probability distribution (e.g. total cost or completion date) is calculated.

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For a cost risk analysis, a simulation can use the

project WBS or cost breakdown structure as its model.

For a schedule risk analysis the precedence diagram

schedule is used.

Outputs:

Forecasts of potential project schedule and cost results, listing the possible completion dates or project duration and costs with their associated confidence level).

Prioritized list of quantified risks (includes those risks posing the greatest threats and those presenting the greatest opportunity to the project). The list also identifies the risks that requires the greatest cost contingency and those that are most likely influencing the critical path.

Trends in quantitative risk analysis results. (As analysis is repeated, a trend can be drawn that leads to conclusions affecting risk responses).

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5. Risk Response Planning

Developing options and determining actions to enhance opportunities and reduces threats to project objectives.

Addressing risks by their priority, inserting resources and activities into the budget, schedule and project management plan, as needed.

The process:

includes specific methods and techniques to deal with known risks;

identifies who is responsible for the risk (risk response owner);

provides an estimate of the cost and schedule associated with reducing the risk.

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Objectives:

Increase the opportunity of success by reducing the

probability and / or consequences of high probability

risks.

Identify and address the most critical risk categories

and cost / schedule elements; and

Provide a way – forward plan for mitigating risks that

includes actions items, responsibilities and dates.

Types of risk response:

Immediate change or alteration to the project which

results in elimination of the risk.

Contingency plan that will only be implemented if an

identified risk should materialize.

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Identified Risk

Avoidance

Reduction

Transference

Retained

Consid

er

each r

esponse /

mitig

ation

str

ate

gy

Remove the cause Consider alternative solutions

Abort the project

Consider alternative solutions Examine in detail and obtain more information

Take management or design action

Insurance Selection of contracts

Warranties or guarantees sharing

Contingency management

Tools & Techniques

Strategies for negative risks or threats

Avoid: by changing the project management plan to:

Eliminate the threat posed by an adverse risk.

Isolate the project objectives from the risk’s impact, or

Relax the objective that is in jeopardy (extending the

schedule, reducing scope,…

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Transfer: Risk transfer involves shifting the negative

impact of a threat, along with ownership of the response,

to a third party.

Transferring the risk does not eliminate it but simply gives

another party the responsibility of its management.

Examples: Use of insurance, Performance bonds, Warranties,

Guarantees, … etc.

Contracts can be used to transfer liability for a risk to another

party. (cost type contracts transfer cost risk to the buyer, fixed

price contracts transfer risk to the seller)

When portion of the risk is transferred, whilst some risk is

retained, this is known as risk sharing.

Mitigate : Risk mitigation implies a reduction in the probability and / or impact of adverse risk event to an acceptable threshold

Taking early action to reduce the probability and / or impact of risk occurring in the project is more effective than trying to repair the damage after it occurs.

Examples: using less complex process, conducting more tests or choosing more stable suppliers,...

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Strategies for positive risks or “Opportunities”:

Exploit: This strategy is used when the organization

wishes to ensure that the opportunity is realized.

It seeks to eliminate the uncertainty associated with a particular upside risk by making the opportunity definitely happen.

Examples: assigning more talented resources to the project to reduce time of completion, provide better quality than originally planned,…

Share: involves allocating ownership to a third party

who is best able to capture the opportunity for the

benefit of the project.

Example: forming risk sharing partnerships – joint

venture, teams,…

Enhance: modifies the size of an opportunity by

increasing probability and / or positive impact.

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Strategy for both Threats & Opportunities

Acceptance: (passive or active)

Passive acceptance requires no action, leaving the project team to deal with the threats or opportunities as they occur.

Active acceptance include: establishing a contingency reserve.

Outputs

Risk register (Updates)

Is developed and updated in earlier stages. In this stage, appropriate responses are chosen, agreed upon and included in the risk register.

Components of the risk register at this point can include:

Identified risks, their description, area (s) of the project affected, their causes and their effect on project objectives.

Risk owners and assigned responsibilities.

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Outputs from qualitative & quantitative risk analysis processes including prioritized lists of risks and probabilistic analysis.

Agreed upon response strategies.

Specific actions to implement the chosen response strategies.

Budget & schedule activities required to implement the chosen responses.

Contingency reserves of time & cost that are calculated based on the quantitative analysis of the project

Fall back plans for use as a reaction to a risk that has occurred and the primary response proves to be inadequate.

Project management plan (Updates)

The plan is updated as response activities are added

and integrated within the project.

Risk – related contractual agreements

Contractual agreements, such as agreements for

insurance, service and others.

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6. Risk Monitoring & Control

Identifying, analyzing and planning for newly arising risks,

Keeping track and reanalyzing of the identified and existing risks and those on the watch list,

Monitoring trigger conditions for contingency plans and reviewing the execution of risk responses while evaluating their effectiveness.

Choosing alternatives strategies, executing a contingency or fall back plan, taking corrective action and modifying the PM plan.

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Tools and Techniques

Variance & trend analysis, representation, assessment tools,…

Risk Reassessment

Risk monitoring and control often requires identification

of new risks and reassessment of risks, analysis of

planned responses and perform additional response

planning to control the risk, if necessary.

Risk Audits

Audits examine and document the effectiveness of

risk responses in dealing with identified risks and their

root causes as well as the effectiveness of the risk

management process.

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Variance and Trend Analysis

To be used for monitoring overall project performance.

Technical Performance Measurement

Compare technical accomplishment during project

execution against planned to forecast the degree of

success in achieving project’s scope.

Reserve Analysis

Compares the amount of contingency reserves

remaining throughout project execution with the

amount of risk remaining at any time in the project to

determine if the remaining reserve is adequate.

Status Meeting

Project risk management can be discussed at periodic

status meetings highlighting identified risks, their

priority and suggested response methods.

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Outputs

Risk Register (Updates)

Outcomes of risk assessment, risk audits and periodic risk

review which may affect probability of risk, its impact,

priority, response plans and so on.

Actual outcomes of project risks and risk response that

can be used for future projects.

Requested Changes

Approved change requests become inputs to the project

management execution process and risk monitoring and

control.

Recommended Corrective Actions

These include contingency plans and work around plans

that were not initially planned, but are required to deal with

emerging risks that were unidentified.

Recommended Preventive Actions

Actions used to prevent deviation from original project

management plan.

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Organizational Process Assets

Information from the six project risk management

processes are used by the organization for future

projects. Lessons learned should be captured and

included in the organization knowledge database.

Project Management Plan (Updates)

PM plan is to be revised and updated to reflect any approved changes.

Project Risk Management

1.Inputs

•Enterprise environmental factors. •Organizational process assets. •Project scope statement. •Project management plan.

2.Tools & techniques: •Planning meetings ad analysis.

3.Outputs: •Risk management plan.

Risk Management Planning

1.Inputs •Enterprise environmental factors. •Organizational process assets. •Project scope statement. •Risk management plan. •Project management plan. 2.Tools & techniques: •Documentation reviews. •Information gathering techniques. •Checklist analysis. •Assumption analysis. •Diagramming techniques 3.Outputs: •Risk register

Risk Identification

1.Inputs •Organizational process assets. •Project scope statement. •Risk management plan.

•Risk register. 2.Tools & techniques: •Risk probability and assessment. •Probability and impact matrix. •Risk data quality assessment. •Risk categorization. •Risk urgency assessment. 3.Outputs: •Risk register (updates).

Qualitative Risk Analysis

1.Inputs •Organizational process assets. •Project scope statement. •Risk management plan. •Risk register. •Project management plan - project schedule management plan - project cost management plan. 2.Tools & techniques: •Data gathering and representation techniques. •Quantities risk analysis and modeling techniques. 3.Outputs: •Risk register (updates).

Quantitative Risk Analysis

1.Inputs •Risk management plan. •Risk register. 2.Tools & techniques: •Strategies for negative risks or threats. •Strategies for positive risks or opportunities. • contingent response strategy. 3.Outputs: •Risk register (updates). •Project management plan (updates) •Risk related contractual agreements.

Risk Response Planning

1.Inputs •Risk management plan. •Risk register. •Approved change requests. •Performance information. •Performance reports 2.Tools & techniques: •Risk reassessment. •Risk audits. •Variance & trend analysis. •Technical performance measurement . •Reserve analysis. •Status meetings. 3.Outputs: •Risk register (Updates). •Requested changes. •Recommended corrective actions. •Organizational process assets updates. •Project management plan (updates).

Risk Monitoring & Control

Overview

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Risk Management Techniques

PERT

Monte Carlo Simulation

Decision Analysis (Decision Trees)

The PERT Approach for Project Risk Assessment

The program evaluation and review technique (PERT) was developed

by the late 1950’s. The objective was to evaluate the risk in meeting

the time goals of the execution of projects whose activities had some

uncertainty in their duration estimates. To represent the uncertainty

in duration estimates, the PERT technique recognizes the

probabilistic, rather than deterministic, nature of the operations

involved in high-risk activities. Accordingly, the PERT technique

incorporates three durations for each activity into its methodology.

The 3 estimates are:

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The PERT Approach

Optimistic duration (a): estimated time (comparatively short) of

executing the activity under very favorable working conditions. The

probability of attaining this duration is about 0.01;

Pessimistic duration (b): estimated time (comparatively long) of

executing the activity under very unfavorable working conditions. The

probability of attaining this duration is also about 0.01; and

Most Likely duration (m): estimated time of executing the activity that

is closest to the actual duration. This estimates lies in between the above

two extremes.

The PERT Approach

In PERT, the given estimates of times and the likelihood of occurrence are represented by a beta curve, as shown below. However, with the three estimates of time for each activity, we cannot perform traditional CPM analysis to determine project duration. Therefore, we need to get a single weighted average duration for each activity. The formulas for the expected duration, called expected elapsed time (te) are as follows:

Beta-Distribution Curve

a

m

b

0.5

Activity

Duration te

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47

Expected time for the activity (te) =

Standard deviation for activity ơ =

To +4Tm +Tp

6

Tp - To

6

The PERT Approach

Analysis Steps:

Step 1: Individual Activity Durations

a = Optimistic duration = Minimum duration

m = Most Frequent duration (most likely)

b = Pessimistic duration = Maximum duration

te = activity expected duration = (a + 4 m + b) / 6

te2 = activity duration variance = [(b - a) / 6]2

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48

The PERT Approach

Step 2: CPM Calculations

Using the activities’ te durations, CPM calculations are performed following the forward and backward passes to determine the project duration (TE). Activity floats and also calculated and critical activities identified.

Step 3: Distribution of Project Duration

Since the probability is 0.5 that each activity will finish at its te durations, there is a probability of 0.5 for the entire project being finished at time TE. However, the expected project duration does not follow a beta curve as did the activities comprising the project. Assuming that the project is executed a large number of times, the resulting population of project durations may be assumed normally distributed.

The PERT Approach

The normal distribution of project duration is defined by its mean () and standard deviation () values, determined as follows:

TE = TE = te of critical activities;

TE = te2 of critical activities

Step 4: Analysis of Project Completion Probabilities

Using the project normal distribution, it is possible now to find the

probability values associated with specific project duration. By scaling the

project distribution to the standard normal distribution, we can obtain

probabilities from standard probability tables and make conclusions, as

follows: Z = Desired Completion Date - TE

TE

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49

34.1% 34.1%

13.6% 13.6% 2.1% 2.1%

-3ơ -2ơ -ơ ơ 2ơ 3ơ

Te ơ = 68.2% of the area under the curve + -

Te 2ơ = 95.4% of the area under the curve + -

Te 3ơ = 99.7% of the area under the curve + -

V (activity variance)= ơ2 activity

Ơ Total = (Ơ)2A + (Ơ)2

B + (Ơ)2C + ……

(for the critical path) (activities in the critical path)

Example

Consider a project whose critical path

consists of 4 activities A,B,C,D. Each

activity has three time estimates as shown:

A

2 6 8

B

3 9 12

C

2 8 10

D

4 6 9

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50

Solution

The Expected Time and Standard Deviation

for each critical Activity

6.16

7.33

8.5

5.66

Te

0.83 5 9 6 4 D

1.33 8 10 8 2 C

1.5 9 12 9 3 B

1 6 8 6 2 A

Activity standard deviation

(Tp – To) / 6

Tp - To Tp Tm To Activity

Expected time for the project =

5.66 + 8.5 +7.33 + 6.16 = 27.65

Ơ Total = (1)2 + (1.5)2

+ (1.33)2 + (0.83)2

= 2.39

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51

To calculate the probability of finishing

within any given time, you calculate Z

where:

Where T is the time required

And from the normal curve table we find the

probability

T - Te

Ơ T

Z =

The PERT Approach (Example)

Pessimistic Time (b)

Most Prob. Time (m)

Optimistic Time (a)

Predecessors Activity

8 5 2 ------- A

12 9 6 A B

8 7 6 A C

7 4 1 B,C D

8 8 8 A E

17 14 5 D,E F

21 12 3 C G

9 6 3 F,G H

11 8 5 H I

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52

Variance

[(b-a)/6]2

Standard Deviation

[(b-a)/6]

Expected time

Te =

Activity

1 1 5 A

1 1 9 B

1/9 1/3 7 C

1 1 4 D

0 0 8 E

4 2 13 F

9 3 12 G

1 1 6 H

1 1 8 I

a + 4m + b 6

The PERT Approach (Example)

0 5

0 5 5

A

5 14

5 9 14

B

5 12

7 7 14

C

5 13

10 8 18

E

14 18

14 4 18

D

12 24

19 12 31

G

18 31

18 13 31

F

31 37

31 6 37

H

37 45

37 8 45

I

Ơ Total = Ơ2A + Ơ2

B + Ơ2D + Ơ2

F + Ơ2H + Ơ2

I

Ơ Total = (1)2 + (1)2

+ (1)2 + (2)2

+ (1)2 + (1)2

= 9 = 3

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53

What is the probability of completing the project in 50

days? And what is the probability of completing the

project in 4 days less than the expected duration.

Prob. (T ≤ 50) = Prob. (Z1 ≤ 1.67)

From table Prob. (T ≤ 50) = 0.9525 = 95.25%

T - Te

Ơ T

Z1 = 50 _ 45

3

=

= 1.67

The PERT Approach (Example)

Prob. (T ≤ 41) = Prob. (Z2 ≤ -1.33)

From table Prob. (T ≤ 41) = 0.0918 = 9.18%

T - Te

Ơ T

Z2 = 41 _ 45

3

=

= - 1.33

The PERT Approach (Example)

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54

What will be the total duration if you want to be 97.5% confident that the project will not exceed it?

From table Z = 1.96

duration = 1.96 (ơ) + 45 = 51 days

you are adding 6 days (contingency) to be 97.5% confident that the project will not exceed the duration.

The PERT Approach (Example)

Range Estimating

Range Estimating is similar to the PERT approach, where the estimators are asked to supply three estimates for each activity: lowest (L), highest (H) and most likely (M).

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55

E = Expected Value =

= Standard Deviation =

For each individual activity

Standard deviation for the project

Where n is the total number of activities in the project

L + 4M +H

6 H - L

6

= (1)2

+ (2)2

+ (3)2

+ ...+ (n)2

Range Estimating

Example

Standard deviation

Expected Value

Highest Most Likely

Lowest Description Act. No.

1,350 8,120 10,402 9,005 2,300 Mobilization 10

309 2,980 3,654 3,106 1,800 Influent Control Structure

20

619 10,308 13,200 9,796 9,485 Raw Sewage Pumping

30

642 5,234 6,450 5,589 2,600 Grit / Screen Handling

40

2,760 22,500 27,761 24,009 11,200 Primary Sediment

50

2,108 20,515 25,746 21,061 13,100 Effluent Pumping

60

4,350 44,875 54,201 46,738 28,100 Aeration Tanks 70

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56

Expected value of the project = $114,532

Range Estimate = $114,532 5804.9

(we are 84.1% confident that the project will not exceed $120,336.9)

+ -

Project = ()210 + ()2

20 + ……+ ()270

= $5804.9

Example

How much should we add as a contingency to be 98% confident that the project will not exceed the estimated value.

From the table

P (98%) Z = 2.06 = (C – Ce)/

Total value = 2.06 * 5,804.9 + 114,532

= $ 126,490

contingency added = $11,958

Example

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The PERT Approach (Critique)

Criticisms to PERT Technique

Requires three estimated durations for each activity.

Assumes continuous not discrete distribution for durations.

Beta distribution is debatable.

It focuses on a single critical path and ignores close-to-critical paths.

It assumes independent activity durations.

It ignores the risk that occurs at path convergence points.

Simulation

Simulation is an analytical method meant to imitate a real – life problem / system especially when other analyses are too mathematically complex or too difficult to reproduce.

Monte Carlo simulation is a form of simulation that

randomly generates values for uncertain variables over and over to simulate a model.

Spread sheet risk analysis uses both a model and

simulation to automatically analyze the effect of varying input on outputs of the modeled system / problem.

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Simulation is a 4 step process

1. Identify the uncertain cells in the model.

2. Implement appropriate random number generators (RNGs) for each uncertain cell.

3. Replicate the model n times, and record the value of the bottom – line performance measures.

4. Analyze the sample values collected on the performance measure.

Monte Carlo Simulation

Step-By-Step

1. Determine the duration (or cost, …) distribution of each activity. It is possible to use discrete values or to use the simplified assumption of a triangular distribution;

Triangular Distribution

a

m

b Activity

Duration Activity

Duration

Discrete Distribution

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59

Monte Carlo Simulation

2. Generate one project scenario by randomly generating one possible

duration (or cost) for each activity in the project (based on its

distribution). Perform CPM calculations (or cost) for this scenario and

determine the project duration (or cost);

3. Repeat step 2 for the number of desired simulations (scenarios) and

then tabulate the results;

4. Project Duration Distribution: Calculate the mean () and () values

for the resulting project durations (total cost); and

5. Using the () and () values, determine the probability of the project

being completed on or before any given date, or within any estimated

total cost.

Risk and Uncertainty in Construction

Tutorial 3

Risk Modeling using Excel Risk Analysis using Crystal Ball

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60

Simulation Models

Assumptions

Variables e.g., activities’

durations

Predictions

Follow distributions

Target e.g., Total

Project duration

Assumptions Distributions

10 12 8

0.5 Duration for A, out of 1000 randomly selected values, 500 will be 10, 250 will be 9 and 250 will be 11.

8 9

0.4

0.6 Duration for A, out of 1000 randomly selected values, 600 will be 9, 400 will be 8.

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Once you built the model, change the assumptions randomly according to their distributions and record the target value (the total project duration)

Repeat the process 100s of times and perform statistical analysis for the results

Crystal Ball

Crystal Ball is an add-in software for MS

Excel, similar to SOLVER.

Crystal Ball will facilitate the simulation

process, the definition of the probability

distribution, and the statistical analysis,

but will not create the original model.

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Problem

Activity Predecessors Duration Cost/day ($)

A

B

C

D

E

F

G

H

I

J

K

L

M

N

O

P

-

-

-

A

B

B

B

D, C

D, C

E

E

F,E

G, J

H

K

L, M, N, O, I

(4)

ND (6, 2)

Custom(2,2,2,3,3)

ND(8,1)

Triangle(7,10,12)

Triangle(14,16,18)

ND(8,3)

Uniform(5,7)

Triangle(5,6,7)

Uniform(4,8)

Custom(10,10,11,12)

ND (6,1)

Custom (6,7,8)

Custom (2(60%), 5 (40%)

1

---

2,500

3,000

1,250

4,000

5,500

3,000

500

1,750

800

800

1,000

550

600

2000

1650

---

The following table shows the activities of a small project

Perform a risk analysis study and show:

the impact of activities’ duration on both “Total Project Duration” and “Cost”, considering indirect cost /day =$500.

the distribution of the duration and cost for the whole project, and determine probable contingencies for both of them corresponding to 50%, 80% & 90% confidence levels.

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64

Hint

Establish a link between, assumptions (activities’ durations) and prediction 1 (Total project duration) and between assumptions and prediction 2 (Total cost).

Activities’ durations Total Project Duration

CPM analysis

Activities’ Cost Total Project cost

Simple summation

A

ST B

C

D

F

G

J

K

H

E

I

FN