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Problem Formulation and Decision
Making – Selection Tasks
Karl A. Smith
Purdue University/
University of Minnesota
ksmith@umn.edu
Preparing and Supporting Students to Work
in Teams in STEM Disciplines
Universiti Teknologi Malaysia
March 2009
Objective
Deterministic Stochastic
Multiple Ranking
AHP
SMART
MAUT
Single B/C
LP
Optimization
Decision
Tree (EV)
Simulation
Decision-Making Approaches
Outline
• Stages
• Criteria for Project Selection and Evaluation
• Tools
• Checklists and Scoring Models
– Benefit Cost Analysis
– Cost Effectiveness Analysis
– Risk Analysis
– Decision Trees
Tools
• Checklists and Scoring
• Benefit cost analysis
• Cost effectiveness
• Risk analysis
• Decision trees
Checklists and Scoring
• checklists
– good for limited data and resources
– example - sensors for side collision warning
systems
• scoring - adds subjective weights
Present Worth Analysis
• determine the minimum attractive rate of return (MARR)
• estimate the economic life of the project (i.e. N)
• estimate the cash inflow and outflow for each period.
• compute the net cash flow for each period
• compute the present value of each cash flow using the
MARR
• add up all the present value cash flows = NPV
• PW(i) = Σ An (P/F,i,n) for n=0 to N
• If NPV > 0 select project and if NPV <0, do not select
• If NPV = 0, you are indifferent.
Benefit cost analysis - continued
• Selection of projects using Benefit Cost ratios
requires consideration of incremental benefits and
costs.
• Procedure
– order project in terms of increasing investment
– check that each project is feasible (B/C >1)
– compare project I with I+1,
if B I+1-BI / C I+1-CI >1 then choose project I+1
– continue pairwise comparison until all alternatives are
exhausted.
Benefit cost analysis – Example
• An overpass is being planned. The
following parameters have been estimated:
– Initial cost = $1,800,000,
– Life (n) =30 years,
– MARR = 6%
– Salvage value = $100,000.
http://www.oim.dot.state.mn.us/EASS/
Project Selection Sample
Problems
• Two problems
• For each problem
• Decide how many busses to buy and give rationale
for your answer.
• One answer from each group.
• Every group member must be able to explain the
group's answer.
Problem 1
• A small manufacturer is going to develop a new bus system
for a community. As he only wants to run the transportation
company as a demonstration of his vehicles, he plans to
eventually sell the system to local investors.
• The manufacturer must decide whether to start with a small
fleet of 25 busses or a larger fleet of 50. The investment in
25 busses is approximately $6,200,000 and 50 busses
$11,500,000. The expected net present value of net revenues
is $6,305,000 for 25 busses and $11,676,000 for 50 busses.
• On the basis of benefit cost ratio, which option should the
manufacturer choose?
• Do you reach the same conclusion if you use net present
value analysis?
Risk analysis
• Failure can occur in many ways.
• Risk analysis attempts to quantify the
likelihood and the impacts of failure
Decision Trees
• Graphical representation of problems
involving sequential decisions.
• Notation
– decision node - square
– chance nodes -circle
Decision trees - continued
• Mechanics
– define initial decision node and then for each
decision and subsequent chance node and
identify all alternatives/outcomes.
– Assign probabilities to each outcome
– Evaluate the tree by finding expected values at
each decision node.
Decision trees - continued
• Mechanics
– define initial decision node and then for each
decision and subsequent chance node and
identify all alternatives/outcomes.
– Assign probabilities to each outcome
– Evaluate the tree by finding expected values at
each decision node.
Example - Decision tree
Construction site - construct high cofferdam or low cofferdam?
High cofferdam
$5,000
Low cofferdam
$4,000
Overtopping
p=0
No Overtopping
p=1
Overtopping
p
No Overtopping
1-p
5,000
5,000
14,000
4,000
Consequences
Project Selection Sample
Problems
• Problem 2 – with probabilities
• Decide how many busses to buy and give
rationale for your answer.
• One answer from each group.
• Every group member must be able to explain the
group's answer.
Session Summary
(Minute Paper)
Reflect on the session:
1. Most interesting, valuable, useful thing you
learned.
2. Question/Topic/Issue you would like to have
addressed.
3. Comments, suggestions, etc
4. Pace: Too slow 1 . . . . 5 Too fast
5. Relevance: Little 1 . . . 5 Lots
6. Instructional Format: Ugh 1 . . . 5 Ah

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Smith utm-prob form-dec-mak-309-ho

  • 1. Problem Formulation and Decision Making – Selection Tasks Karl A. Smith Purdue University/ University of Minnesota ksmith@umn.edu Preparing and Supporting Students to Work in Teams in STEM Disciplines Universiti Teknologi Malaysia March 2009
  • 2. Objective Deterministic Stochastic Multiple Ranking AHP SMART MAUT Single B/C LP Optimization Decision Tree (EV) Simulation Decision-Making Approaches
  • 3. Outline • Stages • Criteria for Project Selection and Evaluation • Tools • Checklists and Scoring Models – Benefit Cost Analysis – Cost Effectiveness Analysis – Risk Analysis – Decision Trees
  • 4. Tools • Checklists and Scoring • Benefit cost analysis • Cost effectiveness • Risk analysis • Decision trees
  • 5. Checklists and Scoring • checklists – good for limited data and resources – example - sensors for side collision warning systems • scoring - adds subjective weights
  • 6. Present Worth Analysis • determine the minimum attractive rate of return (MARR) • estimate the economic life of the project (i.e. N) • estimate the cash inflow and outflow for each period. • compute the net cash flow for each period • compute the present value of each cash flow using the MARR • add up all the present value cash flows = NPV • PW(i) = Σ An (P/F,i,n) for n=0 to N • If NPV > 0 select project and if NPV <0, do not select • If NPV = 0, you are indifferent.
  • 7. Benefit cost analysis - continued • Selection of projects using Benefit Cost ratios requires consideration of incremental benefits and costs. • Procedure – order project in terms of increasing investment – check that each project is feasible (B/C >1) – compare project I with I+1, if B I+1-BI / C I+1-CI >1 then choose project I+1 – continue pairwise comparison until all alternatives are exhausted.
  • 8. Benefit cost analysis – Example • An overpass is being planned. The following parameters have been estimated: – Initial cost = $1,800,000, – Life (n) =30 years, – MARR = 6% – Salvage value = $100,000.
  • 10. Project Selection Sample Problems • Two problems • For each problem • Decide how many busses to buy and give rationale for your answer. • One answer from each group. • Every group member must be able to explain the group's answer.
  • 11. Problem 1 • A small manufacturer is going to develop a new bus system for a community. As he only wants to run the transportation company as a demonstration of his vehicles, he plans to eventually sell the system to local investors. • The manufacturer must decide whether to start with a small fleet of 25 busses or a larger fleet of 50. The investment in 25 busses is approximately $6,200,000 and 50 busses $11,500,000. The expected net present value of net revenues is $6,305,000 for 25 busses and $11,676,000 for 50 busses. • On the basis of benefit cost ratio, which option should the manufacturer choose? • Do you reach the same conclusion if you use net present value analysis?
  • 12. Risk analysis • Failure can occur in many ways. • Risk analysis attempts to quantify the likelihood and the impacts of failure
  • 13. Decision Trees • Graphical representation of problems involving sequential decisions. • Notation – decision node - square – chance nodes -circle
  • 14. Decision trees - continued • Mechanics – define initial decision node and then for each decision and subsequent chance node and identify all alternatives/outcomes. – Assign probabilities to each outcome – Evaluate the tree by finding expected values at each decision node.
  • 15. Decision trees - continued • Mechanics – define initial decision node and then for each decision and subsequent chance node and identify all alternatives/outcomes. – Assign probabilities to each outcome – Evaluate the tree by finding expected values at each decision node.
  • 16. Example - Decision tree Construction site - construct high cofferdam or low cofferdam? High cofferdam $5,000 Low cofferdam $4,000 Overtopping p=0 No Overtopping p=1 Overtopping p No Overtopping 1-p 5,000 5,000 14,000 4,000 Consequences
  • 17. Project Selection Sample Problems • Problem 2 – with probabilities • Decide how many busses to buy and give rationale for your answer. • One answer from each group. • Every group member must be able to explain the group's answer.
  • 18. Session Summary (Minute Paper) Reflect on the session: 1. Most interesting, valuable, useful thing you learned. 2. Question/Topic/Issue you would like to have addressed. 3. Comments, suggestions, etc 4. Pace: Too slow 1 . . . . 5 Too fast 5. Relevance: Little 1 . . . 5 Lots 6. Instructional Format: Ugh 1 . . . 5 Ah