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DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey
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DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

Mar 27, 2015

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Page 1: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach

Dr.Prasanta Kumar Dey

Page 2: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

CONTENT

What is the decision tree? The example of decision tree The advantage of decision tree The application of decision tree

Page 3: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

WHAT IS THE DECISION TREE?

Decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.

Decision tree is commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal.

Another use of decision trees is as a descriptive means for calculating conditional probabilities.

Page 4: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

THE EXAMPLE OF DECISION TREE

Page 5: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.
Page 6: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.
Page 7: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.
Page 8: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

THE ADVANTAGE OF DECISION TREE Are simple to understand and interpret.  Have value even with little hard data.  Use a white box model.  Can be combined with other decision techniques. 

Page 9: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

Project Risk Management: A combined Analytic Hierarchy Process and Decision

Tree Approach

Dr.Prasanta Kumar Dey

Page 10: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

CONVENTIONAL PROJECT MANAGEMENT MODEL

Page 11: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

PROPOSED PROJECT MODEL

Page 12: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

RISK MANAGEMENT PROCESS

Risk identification Risk analysis Risk response

Page 13: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

RISK MANAGEMENT FLOW

Page 14: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

METHODOLOGY Identifying the work packages for risk analysis. Identifying the factors that affect the time, cost, and

quality achievement of a specific work package. Analysis the effect and determining severity of

failure Driving various alternatives responses for mitigating

the effect of risk factors. Estimating cost for each alternative Determining the probability and severity of failure of

a specific work package Forming a decision tree. Deriving expected monetary value or the cost of risk

response in this case. Selecting the best option statistical analysis.

Page 15: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

IDENTIFICATION OF WORK PACKAGES

Riving crossing Pipeline laying Stations construction Telecommunication and SCADA system

Page 16: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

WORK BREAKDOWN STRUCTURE

Page 17: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

AHP MODEL FOR DETERMINING RISKING OF PROJECT

Page 18: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

IDENTIFICATION OF RISK FACTORS

Technical Risk scope change technology selections implementation methodology selection Equipment risk materials risk Engineering and design change

Acts of God normal natural calamities abnormal natural calamities

Page 19: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

Financial, Economical and Political Risk inflation risk fund risk changes of local law changes in government policy improper estimation

Organization Risk capability risk of owner’s project group contractors failure vendor’s failure consultant’s failure

Page 20: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

Statutory Clearance Risk environmental clearance land acquisition clearance from chief controller of explosives other clearance from government authorities

Page 21: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

LIKELIHOOD OF RISK IN A PROJECT

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PROBABILITY AND SEVERITY OF RISK FACTORS

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Page 24: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

DECISION ALTERNATIVES

do nothing carrying out detailed survey using superior technology engaging an expert project team taking all responses

Page 25: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

THE COST DATA FOR EACH PACKAGE AGAINST VARIOUS RESPONSES

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DECISION TREE FOR PIPELINE LAYING WORK PACKAGE

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DECISION TREE FOR RIVER CROSSING WORK PACKAGE

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DECISION TREE FOR STATION CONSTRUCTION WORK PACKAGE

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DECISION TREE FOR TELECOMMUNICATION AND CATHODIC PROTECTION WORK PACKAGE

Page 30: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

THE EMV FOR “ PIPELINE LAYING PROJECT”

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THE EMV FOR” PIPELINE LAYING ACROSS RIVER”

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THE EMV FOR ” STATION CONSTRUCTION”

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THE EMV FOR “TELECOMMUNTION AND SCADA SYSTEM

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THE DECISION EMERGE

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RISK RESPONSES

To avoid To reduce To transfer To absorb

Page 36: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

CONCLUSION

Risk management using a combined AHP and DTA provides an effective means for managing a complex project efficiently.

Risk management makes an effect to quantify risk by modeling its probability and severity in line with the perceptions of experienced project executives subjectivity.

Page 37: DECISION TREE Project Risk Management: A combined Analytic Hierarchy Process and Decision Tree Approach Dr.Prasanta Kumar Dey.

REFERENCE

http://en.wikipedia.org/wiki/Decision_tree http://www.mindtools.com/dectree.html http://zh.wikipedia.org/zh-hk/%E5%86%B3%E

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