W6_Stella_Traffic
Congestion, selecting the best RCA tool using Multiattribute Decision
December
19,
2012
Having applied the three major RCA tool in getting to
the root cause of traffic congestion in Lagos, The need to make decision for
the best tool that will be suitable to getting to the solutions of this problem
arises, hence the application of the multiattribute
Decision making tool.
Multiple attribute decision making (MADM) procedures, is a process for
making preference decisions over the available alternatives which are
characterized by multiple (usually conflicting) attributes are useful for
improving decision making in a wide range of circumstances--from professional
to managerial to political.
Non Compensatory models have four items for making a
choice when multiple attributes are present. They are
i.
Dominance
ii.
Satisficing
iii.
Disjunctive Resolution
iv.
Lexicography
From the root causes observed from the three RCA done
in the previous weeks, a ‘RCA selection
problem’ is formed as shown in the
table 1 below.
2.
Feasible Alternatives.
Lexicography
is one of the models under non compensatory models. It is suitable when one
attribute is seen to be more important than the other attributes.
Ordinal Ranking of root causes gotten from
the three RCA
Tab.2
A.
Result of paired comparison
Corruption > Bribery
Corruption >poor construction
Poor construction >narrow road
Corruption >lack of maintenance
Poor construction >lack of maintenance
Bribery >poor construction
Narrow road > lack of maintenance
Corruption >Greed
Corruption >narrow road
Bribery >narrow road
Bribery >lack of Maintenance
Poor construction >lack of maintenance
Greed > poor construction
Attribute Number of times on the left of > (=Ordinal
ranking)
Corruption 5
Poor construction 3
Bribery 3
Greed
1
Narrow road 1
Corruption has the highest number of rank. Rank
5 is the most important issue to handle.
From fig. 1, the RCA that has the ‘high’
grade of Attribute is the PTA,
Therefore the PTA is the best tool for this
case study.
Form the above Rank 5 is the most important
issue to handle.
Selection is based on the highest ranked
attribute according to Lexicography model.
From Tab. 1, the RCA tool that has
the ‘high’ grade of Attribute is the PTA,
Therefore the PTA is the best tool for this
case study.
4. Selection of Criteria
The use of Lexicography
model was adopted in Tab. 2 to get to the highest ranked attribute (resulting
to PTA selection).
Similarly
from tab. 1, checking for Dominance , PTA dominated all.
So the application of Dominance and
Lexicography models gave me the same results.
5. Analysis and comparison of the alternatives
Lexicography model gave
me the best alternative because the attributes were ranked in order of
importance.
As already explained above the PTA has
the highest ranked value and dominated all the other alternatives, so it is the
preferred alternative for this case study.
The
application of Lexicography and Dominance model is a really a good performance
monitoring tool in the sense that they ranked all the alternatives in their
order of importance.
8. References:
i. Sullivan W., Wicks E., Koelling P.,
(2012) .Chapter 14 Decision making Considering Multiattributes (pp577 – 590) Engineering Economy (15th
Edition).England: Pearson Education Limited
ii. Fred A.,(2000) Multiattribute Decision-Making: Use of Three Scoring Methods to Compare
the Performance of Imaging Techniques for Breast Cancer Detection, Retrieved from: repository.upenn.edu/cgi/viewcontent.cgi?article=1121...Share
iii. Giammalvo,
P.D (2012, October 22). Integrated portfolio (asset), program (operations) and
project management methodology course (An AACE methodology course). Day 1 (pp 92-96) LONADEK Lagos,
Nigeria.
Awesome, Stella!!! Be sure to experiment with the COMPENSATORY models as well.
ReplyDeleteWhat you will find is while Lexicography and Dominance gave you the rank order, what those models DON'T show you is the RELATIVE difference.
How MUCH more important is corruption to poor construction? Is it twice as important? 4 times as important? 10 times? Only the compensatory models will give you that kind of ranking.
Keep up the good work but I really need to start seeing the next draft of your paper....... Try to get that done before the start of the New Year......
BR,
Dr. PDG, Jakarta