1 Problem or Opportunity Statement
An individual who needs to make an urgent personal vehicle
decision is not very solvent at a point. Reliability and ruggedness are also pertinent
points to of interest considering the assignments the vehicle is intended for.
2 Development of Feasible Alternatives
The alternative actions for consideration here are to purchase a replacement
engine for the existing SUV and carry out some general overhaul, buy a fairly
used SUV, buy a brand new sedan. For this decision process, we intend to use the additive weighting
technique, a compensatory (single dimensional) model.
3 Development of the Outcomes for Each Alternative
Below is the table of alternatives, their attributes and the
ratings assigned to them.
Alternatives
Attributes
|
Engine replacement and overhaul of existing SUV
|
Buy a fairly used SUV
|
Buy a brand new compact category sedan
|
Reliability
|
Fair
|
Good
|
Excellent
|
Fuel Economy
|
Poor
|
Fair
|
Excellent
|
Ruggedness (due to bad
roads)
|
Good
|
Excellent
|
Poor
|
Acquisition Cost (USD)
|
2,025.32
|
20,886.08
|
22,151.90
|
Lead time (days)
|
14
|
2
|
2
|
Running/Maintenance Cost first yr(USD)
|
3,802.69
|
2,318.35
|
946.21
|
We need to make all ratings of the attributes dimensionless. The
conversion will be done as follows.
To convert attributes where the larger values are less desirable,
the following formula will be used:
Rating = Worst Outcome – Outcome being converted/Worst Outcome –
Best Outcome
To convert attributes where the larger values are more desirable,
the following formula will be used:
Rating = Outcome being converted – Worst Outcome/Best Outcome –
Worst Outcome
Alternatives
Attributes
|
Engine replacement and overhaul of existing SUV
|
Buy a fairly used SUV
|
Buy a brand new compact category sedan
|
Reliability
|
0.3
|
0.7
|
1.0
|
Fuel Economy
|
0.0
|
0.3
|
1.0
|
Ruggedness (due to bad
roads)
|
0.7
|
1.0
|
0.0
|
Acquisition Cost (USD)
|
1.0
|
0.06
|
0.0
|
Lead time (days)
|
0
|
1
|
1
|
Running/Maintenance Cost first yr(USD)
|
0.0
|
0.52
|
1.0
|
TOTALS
|
2.0
|
3.6
|
4.0
|
We would then rank the attributes according their importance in
the decision making process and normalize these rankings by dividing each by
their total sum to obtain weights for each. Finally the attribute ratings will
be multiplied by the obtained weights.
The following table shows the resultant values after conversion.
Alternatives
Attributes
|
Rankings
|
Weights
|
Engine replacement and
overhaul of existing SUV
|
Buy a fairly used SUV
|
Buy a brand new compact
category sedan
|
|||
Rating
|
Weighted
|
Rating
|
Weighted
|
Rating
|
Weighted
|
|||
Reliability
|
5
|
0.24
|
0.3
|
0.1
|
0.7
|
0.2
|
1.0
|
0.2
|
Fuel Economy
|
2
|
0.10
|
0.0
|
0.0
|
0.3
|
0.0
|
1.0
|
0.1
|
Ruggedness (due to bad roads)
|
4
|
0.19
|
0.7
|
0.1
|
1.0
|
0.2
|
0.0
|
0.0
|
Acquisition Cost (USD)
|
6
|
0.29
|
1.0
|
0.29
|
0.06
|
0.02
|
0.0
|
0.0
|
Lead time (days)
|
3
|
0.14
|
0
|
0
|
1
|
0.14
|
1
|
0.14
|
Running/Maintenance Cost
first yr (USD)
|
1
|
0.05
|
0.0
|
0.0
|
0.52
|
0.02
|
1.00
|
0.05
|
TOTALS
|
21
|
|
0.5
|
0.6
|
0.5
|
4 Selection of the Acceptable Criteria
The alternative with the highest total weighted score total will
be selected above other alternatives.
5 Analysis and Comparison of the Alternatives
Given the analysis above, the second alternative (buy a fairly
used SUV) has a higher total score than the other two alternatives which have
the same total score approximately.
6 Selection of the Preferred Alternative
After our analysis and the selection criteria stated above, the alternative
of choice is the second (buy a fairly used SUV). The third alternative (buy a
brand new sedan) score higher than the other without the weights but after the
weights where applied, the second alternative scored highest
7 Performance Monitoring and Post-Evaluation
of Results
The most important consideration for us here is the acquisition
cost which is a one-off fixed expense, reliability and ruggedness which come as
inherent characteristics of the vehicle of choice. We would watch to see that
our initial cost of acquisition does not exceed our budgeted cost and also
monitor the vehicle during use for reliability.
References:
i. Sullivan, W. G., Wicks, E. M. & Koelling
C. P. (2012). Engineering Economy Fifteenth
Edition. Chapter 14
ii. Giammalvo, P.D. (2012). AACE
Certification Preparation Course Module
iii. National Institute of Standards and Technology – U.S.
Department of Commerce Technology Administration. (1995). Multiattribute
Decision Analysis Method for Evaluating Buildings and Building Systems (Publication
No. NISTIR 5663). Gaithersburg, Maryland 20899.
OK Stephon, you have demonstrated to us that you can use the compensatory methods, but I still would like you to redo the previous case study using BOTH non-dimensional scaling AND additive weighting technique. You can claim it as your W7 blog, which should put you within our agreed to limits.
ReplyDeleteBut you need to start looking at other chapters in Engineering Economy as well..... I need to see you doing some financial calculations as well.
Keep up the good work....
BR,
Dr. PDG, Jakarta