1 Problem or Opportunity Statement
The offshore minor projects of an IOC are being delayed due to a
limitation on the number of Personnel on board (POB) the target platforms at
every point in time. This limitation results in a significantly long wait by
EPCI contractors to perform the site installation phase of the projects after
the engineering, procurement and workshop fabrication phases have been
accomplished. To reduce financial losses in terms of accumulating interests on
the part of EPCI contractors and the resultant claims, a decision has to be
made as to the contracting strategy to be used for the projects.
2 Development of Feasible Alternatives
Two alternatives are to be considered for a final decision. These
are whether to use a single contract (PO) for all the phases or to perform the
site installation and as-built documentation phases on a separate contract
(PO).Considering that we are dealing with only two options in this problem, we
will attempt to use the dominance decision model but where it fails to
eliminate one option, we will conclude with the non-dimensional scaling 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
|
Single EPCI contract/PO
|
One Contract for Engineering to Workshop Prefabrication and
another for Site Installation works to As-built documentation
|
Risks in Interfacing (between phases such as fabrication and
site installation)
|
Low
|
Medium
|
Specialization/Quality
|
Fair
|
Good
|
Management Demands (cost, time, locations/logistics)
|
Medium
|
High
|
Cost (Contracting)
|
Medium
|
High
|
Claims
|
High
|
Low
|
To accomplish the
non-dimensional scaling process, we will need to convert all the attributes to
one dimension.
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
The following table shows the resultant values after conversion.
Alternatives
Attributes
|
Single EPCI contract/PO
|
One Contract for Engineering to Workshop Prefabrication and
another for Site Installation works to As-built documentation
|
Risks in Interfacing (between phases such as fabrication and site
installation)
|
1
|
0.5
|
Specialization/Quality
|
0.3
|
0.7
|
Management Demands (cost, time, locations/logistics)
|
0.5
|
0
|
Cost (Contracting)
|
0.5
|
0
|
Claims
|
0
|
1
|
TOTALS
|
2.3
|
2.2
|
4 Selection of the Acceptable Criteria
Given that we have only two alternatives, the dominance model
would suffice for decision making if all the attributes of one alternative are
better or at least equal to those of the other alternative. For the non-dimensional
scaling model used, the alternative with the highest total score will be
selected.
5 Analysis and Comparison of the Alternatives
Going by the dominance model, none of the alternatives can be said
to dominate the other as there are attributes for which each is better than the
other. Considering the Non-dimensional scaling model used, the single PO
strategy earned a higher total score than the multiple POs strategy.
6 Selection of the Preferred Alternative
After our analysis and the selection criteria stated above, the
strategy of choice is the single contract/PO strategy. This strategy scores
better than the other strategy in the areas of risk reduction, contracting
costs and management demands.
7 Performance Monitoring and Post-Evaluation
of Results
Since all attributes here are considered of equal importance to
the company, risks and claims resulting from improper phase hand-offs,
contracting costs as well as project management effort and costs will be
monitored and reported for evaluation of the chosen alternative. However the
quality of deliverables will also be monitored to ascertain that it remains
within acceptable thresh holds.
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.
Hmmmmm....... OK, but not a great analysis.
ReplyDeleteWhen you run into a situation like this, you need to move beyond the non-compensatory attributes and try to use one of the compensatory models.
Turn to page 560 in your Engineering Economy and take the same case study, but this time, use BOTH the Compensatory approaches...... See if that gives you any better results.
BR,
Dr. PDG, Jakarta