Preparation for
Professional Practice
PPS-5: Decision Making
(Adapted
from MPS 23, Don Woods 2003)
Pre-class assignment
What is It?
A decision is selection of the best
option from a number of choices. It
could be selecting the best material, the best job candidate, or the best
hydraulic pump.
Since we are talking about the best,
we need to be able to evaluate our options.
For this, we use measurable criteria that are related to some defined
goal. Once we evaluate the options with
respect to the criteria, the decision should make itself.
New Concepts
Cost/Benefit
Analysis, Decision Table or Grid Analysis, Decision Tree
Why
Do It?
Most of
your engineering (and personal) life is a series of decisions and living with
the consequences of those decisions. You
are taking this course as a consequence of those decisions. With a clear goal, and measurable criteria,
making decisions should be better.
How to Do It
Who makes the Decision?
It may seem
obvious, but you need only make decisions with respect to areas in which you
have control. If you are asked to make a
decision, be sure you have the authority to do so. If you are asked to make a recommendation,
your first cost/benefit analysis should be to check and see if the decision has
already been made, or if the recommendation is likely to be followed. If your input is of minimal influence, use
your time appropriately.
Often, the
decision will not be yours as an individual, and you will be working as part of
a team, working group, or committee.
Then group dynamics (covered in other units) will also be important, and
you will have to decide on a method for making the decision. Three, of many possible methods, are briefly
discussed below.
Cost/Benefit Analysis
Cost/Benefit Analysis is a fairly simple approach to
making a decision. You can total all the
costs and benefits of each of your choices.
The choice with the lowest cost benefit ratio should be the winner. This is easier if all of the costs and
benefits can be expressed in a single form such as dollars. If your decision involves multiple factors
with different measuring systems, Cost/Benefit analysis is harder to apply
quantitatively, but still useful.
For
example, you could compare the option of attending engineering school with the
option of a two year program for skilled trades. You could compare up-front costs vs. lifetime
earnings fairly easily (even considering time value of money). Harder to compare, would be factors like job
satisfaction, autonomy, societal status.
Decision Table
The Decision Table or Grid Analysis allows you to numerically compare several options
with respect to a number of criteria. As
a grid, it is a good fit for spreadsheet analysis. The big problems are that you need to find a
way to quantify the comparisons and you need to allow for criteria of different
importance.
For
example, suppose our goal is to get rid of a tree in the yard and our sub-goals
are to 1) Preserve our health and property, 2) Achieve a neat stack of 18 inch
firewood, 3) Maintain our funds by not spending a lot of money, and 4) have
everything completed quickly. After
brainstorming our options are a) buy an ax and saw and do it by our self, b)
buy a chainsaw and do it by our self, c) pay a tree service to do it. After pricing the ax, chainsaw, and tree
service, we fill out the table below.
Note that
we have to estimate the time that the do-it-yourself project will take. Assume a 20 ft long 12 inch diameter trunk. Assuming 15 minutes work and 10 minutes rest
for each transverse hand saw cut yields about 6 hours of sawing time. Add another 6 hours for the tree falling,
branch cutting, and debris hauling and you have about 12 hours of time for the
Ax and Saw approach. We’ll also assume
that the chain saw will cut our time in half.
Note that we are using some engineering estimation and some engineering
intuition to get these numbers.
Depending on the importance of the decision, further investigation may
be warranted.
|
|
Ax and Saw |
Chainsaw |
Tree Service |
|
Health and property |
Some Risk |
Some Risk |
They are bonded |
|
Stack of Firewood |
Will Do |
Will Do |
They will do |
|
Money |
$50 |
$200 |
$400 |
|
Time |
12 hours |
6 hours |
Will take ½ day, two weeks from
today |
We can see
that this chart isn’t giving us a whole lot yet. We need to quantify the values in the cells
in a way that we can compare. Suppose we
use a scale of 1-10 for each factor, with 10 being high or good. For the Money factor we could say that10=$0
and 1=$400. Likewise, for the Time
factor we could say that two weeks=1 and 0 weeks=1. In that case we can probably do our six hours
in the space of half a week for a score of about 2.5. With similar work for the other factors, our chart
is now quantitative.
|
|
Ax and Saw |
Chainsaw |
Tree Service |
|
Health and property |
2 |
2 |
10 |
|
Stack of Firewood |
5 |
5 |
5 |
|
Money |
8 |
5 |
1 |
|
Time |
5 |
2.5 |
10 |
|
Score |
20 |
14.5 |
26 |
The Tree Service
option is the winner in this, but we have not considered the relative
importance of the criteria. We may
believe that Money is twice as important as Time, but that is not reflected in
the score. To account for relative
importance, we can weight each criterion and use that weighting to multiply the
score for that cell. If Money is twice
as important as Time, and the other two factors are half as important as Time,
we get the following chart.
|
|
Ax and Saw |
Chainsaw |
Tree Service |
||||
|
Criteria |
wt |
raw |
adjust |
raw |
adjust |
raw |
adjust |
|
Health and property |
×1 |
2 |
2 |
2 |
2 |
10 |
10 |
|
Stack of Firewood |
×1 |
5 |
5 |
5 |
5 |
5 |
5 |
|
Money |
×4 |
8 |
32 |
5 |
20 |
1 |
4 |
|
Time |
×2 |
5 |
10 |
2.5 |
5 |
10 |
20 |
|
Score |
|
49 |
|
32 |
|
39 |
|
We see that
Ax and Saw is the winner for the cheapskate.
Other weightings will give different results. Some of you will see an opportunity there.
Decision Trees are another way of looking at cost
vs. benefit of decisions. Each decision
can be viewed as a node from which the different possibilities branch. Costs and benefits can be associated with
each branch to quantitatively compare different choices. http://www.public.asu.edu/~kirkwood/DAStuff/decisiontrees/
Decision
Trees can also be used to deal with decisions that have risk. Consider the earlier choice of the
do-it-yourselfer with a new chainsaw.
Let’s narrow our comparison to the Costs of the Chainsaw vs. the Tree
service. We will assign a probability
for the risk of injury with the chainsaw to be 1% and the cost of the injury
(medical cost and lost wages) to $30,000.
Cost if Accident

To
understand the tree, consider the first Decision Node, Chainsaw or Tree
Service. If Chainsaw, we go up and left
and hit a Chance Node at which point we could have an Accident (1% probability)
or No Accident (99% probability). The
Accident for Chainsaw option would have a total cost of $30,000 while No
Accident for Chainsaw has a cost of $200.
If we multiply the probability of Accident times the Cost of Accident we
get $300. This $300 represents the
injury cost of this option. Of, course,
most of the time you will miss the injury cost, but if you make this decision
enough times, the injury will happen.
Thus, the average injury cost per decision is $300.
For the
Tree Service option, we need only consider the cost to us. The Tree Service has their own insurance, and
we can assume that their costs are built into their fees. Even if they are not, we have no cost penalty
for their accidents,
With the
use of this diagram, we can see that a conservative decision maker would
reassign the cost numbers in the Decision Matrix to reflect the cost associated
with risk. This is a big advantage of
the Decision Tree approach.
Uncertainty
You may
have noticed that we aren’t working with perfect information in these
decisions. We have to estimate costs,
estimate probabilities, develop weighting schemes and develop comparative
evaluation scales. And you thought
engineering was all deterministic equations and 12 significant figures. Like much of life, you have to do the best
you can with what you have. The techniques
listed above have significant benefit in organizing the incomplete information
into a usable and understandable form.
People Issues
There are
two significant people issues that should be addressed
When you
look into your partner’s eyes on your honeymoon, you don’t say “I think I made
a mistake” or “Perhaps Chris would have been a better choice”. You’d better say “I am so happy to be here
with you.” Likewise, in your engineering
choices, you have to make a commitment and be positive. As the decision maker, you have to also sell
your choice.
Decisions
often involve change, and most humans don’t particularly like change
(especially the old guys in your plant).
There are a number of ways to help with change that we don’t have space
to go into here, but at minimum, do one thing.
If the people who will be affected by the decision weren’t part of the
decision, they should be told about it by you, in person. This is a time to share your vision and
listen to their concerns. You don’t have
to solve all their problems, but you should listen. Even if they never become enthusiastic
supporters, they will respect you for showing up.
Learning Objectives
You should
be able to:
In-Class
Exercise 1 (5
min.): As part of a small group, list the costs and benefits of one of the
following:
·
attending
Rose-Hulman
·
joining
a fraternity/sorority
·
selecting
engineering as a major
·
getting
married
Exercise 2 (8
min.): As part of a small group, consider the freshman at a party trying to
decide if they should partake of alcohol while underage. Develop a decision tree for the choice that
shows results of choices (decision nodes) and includes possible results (risk
nodes). Quantify risks and assign values
to costs and benefits.
Decision Making Feedback Form
Name _______________________
1.
At
the outset of this unit, place a “B” in each category to indicate your self
assessment of your initial, or baseline skill level.
2.
At
the end of the unit place an “A” in each category to indicate your self assessment
of your skill level after practicing the skill.
Be prepared to provide documentation for your assessment.
|
Novice (less successful) |
Beginner (shows few expert behaviors) (1-2) |
Good Start (some expert behavior) (3-4) |
Getting There (many expert behaviors) (5-6) |
Almost There (mostly expert behavior) (7-8) |
Expert (shows all expert behavior) (9-10) |
Expert (more successful) |
|
Make
decisions with comparing options to criteria |
|
|
|
|
|
Decisions
flow from options and criteria |
|
Apply
options and criteria but without a formal structure. |
|
|
|
|
|
Use formal
techniques like Decision matrix, Decision Tree, or Cost Benefit analysis |
|
Unable to
consider risk as a factor in decisions |
|
|
|
|
|
Can use
decision tree to address risk. |
Reflection
What did I
learn from this?
Which of
the skills do I do pretty well? (List
Evidence)
Which skills could use some work?
(List Evidence)
PPS-5 Making Decisions
Assignment 1 - Individual
Use a
decision matrix to select the “best” of three preset living arrangements for you. Use the criteria you developed in PPP-2 Assignment 2.
Suppose that your only choices are 1) shared apartment off campus, 2)
shared dorm room on campus, and 3) fraternity house on campus.
Task
Turn in:
On a plain
white or engineering problems paper (neatly handwritten or typed)
Evaluation:
1. Generated issues
Excellent (10) - 7-10
good issues listed in Achieve, Preserve,
Avoid categories
Mediocre (5) - < 3-4
good issues,
Weak (0) - no issues
2. Placed
in categories of Must, Want, Not, People
Excellent (10) – Issues were in appropriate categories
Mediocre (5) - some
Issues were in appropriate categories
Weak (0) – missing or all incorrect categories
3. Criteria
were Measurable
Excellent (10) – All four criteria were measurable
Mediocre (5) - Some criteria
were not easily measurable
Weak (0) – Criteria were not measurable
PPS-5 Decision
Making
Assignment 2: Group Task
In PPP-2,
Assignment 2, your group developed criteria for your particular design
issue. In this assignment, you will use
those criteria to select a best design choice from your brainstormed list
Task
Turn in:
On a plain
white or engineering problems paper (neatly handwritten or typed)
Evaluation:
Options, Criteria, and Decision
Matrix
Excellent (10 pts) – Complete, neat matrix with clear criteria,
options, and results
Mediocre (5 pts) – Mostly complete,
less tidy matrix with less clear criteria, options, and results
Weak (0 pts) - Matrix missing, mostly incomplete or not
understandable
Criteria and Rating schemes
Excellent (10 pts) – Clear, believable, quantitative rating
schemes for each criterion
Mediocre (5 pts) – some rating schemes not clear,
believable, or quantitative
Weak (0 pts) - all
rating schemes unclear, unbelievable, qualitative