W8 _ Nasser_ Selecting the best 3 Methods for Calculating Fuel Oil Price (FOP) using MADM - Additive Weighting technique
In W6 Blog, visit above link titled “Selecting the best 3 Optional Methodologies for Calculating Fuel Oil Price (FOP) of an Invoice”, I conducted Multi Attributes Decision Making (MADM) for comparing between 6 options for getting the FOP in RO/GJ. Accordingly, the 3 Options were selected using a straight forward Grid Analysis methodology.
This time, I am re-analyzing similar case and verify if I will get similar results applying Compensatory Model – Relative Weighting and Additive Weighting after turning each attribute/ criterion into a base 1 – scoring module Multi Attributes Decision Making (MADM).
2. Identify the Feasible Alternative
- Option 2: Diesel Price Billed in RO/MMBTU
- Option 3: Diesel Price Billed in RO/Litter with (LHV & Density) at Act filled FO temp is available
- Option 4: Diesel Price Billed in RO/Litter with (LHV & Density) at 15◦C of filled FO temp)
- Option 5: Diesel Price Billed in RO/Litter without (LHV & Density) at Act filled FO temp available
- Option 6: Diesel Price Billed in RO/Litter without (LHV & Density) at 15◦C of filled FO temp
3. Development of the Outcome for Alternatives:
Sr.N
|
Attributes
|
Option 1
|
Option 2
|
Option 3
|
Option 4
|
Option 5
|
Option 6
|
1
|
FOP in RO/GJ
comes From FO Supplier
|
Yes
|
Energy
conversion from MMBTU to GJ is required 1MMBTU=0.947817 GJ
|
calculated
directly from a given LHV & Density
|
Calculated
from a given LHV & corrected Density
|
Calculated
from Lab Test result of LHV & given density
|
Calculated
from Lab Test result LHV & corrected Density
|
2
|
Time Consumed
Generator & OPWP to get the FOP in RO/GJ
|
Strongly None
|
Strongly None
|
Almost None
|
Requires much
time
|
Requires some
time
|
Requires much
time
|
3
|
Cost incurred
by OPWP to get the FOP in RO/GJ
(estimated by
time lost = 30$/hr)
|
None
|
None
|
None
|
30 $
|
15 $
|
30 $
|
4
|
Cost incurred
by Generator to get the FOP in RO/GJ
|
None
|
None
|
None
|
Cost of time
required to get actual temp of fuel filled
|
Cost for Lab
test per fill
|
Cost for Lab
test per fill
+
Cost of time
required to get actual temp of fuel
|
5
|
3rd Party
Cost for Lab Test to find out LHV & Density
|
Not required
|
Not required
|
Not required
|
Not required
|
Cost for Lab
test per fill
|
Cost for Lab
test per fill
|
6
|
Quality &
accuracy of results
|
much Accurate
|
Much Accurate
|
Much Accurate
|
Less accurate
|
accurate
|
Less accurate
|
7
|
Frequency of
repeating the process
|
Every fill
|
Every fill
|
Every fill
|
Every fill
|
Every fill
|
Every fill
|
8
|
Process
complication
|
ZERO
complication
|
ZERO
complication
|
ZERO
complication
|
High
complication
|
complicated
|
High
complication
|
9
|
Easy Tracking
& Documentation
|
Strongly Yes
|
Strongly Yes
|
Strongly Yes
|
May lead for
poor tracking
|
Can be
tracked
|
May lead for
poor tracking
|
10
|
Risk of Error
to happen
|
Negligible
|
Negligible
|
Negligible
|
High risky
|
Medium risk
|
High risky
|
Table1: Development of the Outcome for the
Alternatives (by the author)
4. Selection Criteria:
The following selecting criteria, as
shown in Tables 2 to 11, will be considered:
Criteria
1
|
|
FOP
in RO/GJ comes From FO Supplier
|
|
Yes
|
5
|
Energy conversion from MMBTU to GJ is required 1MMBTU=0.947817
GJ
|
4
|
calculated directly from a given LHV & Density
|
4
|
Calculated from a given LHV & corrected Density
|
2
|
Calculated from Lab Test result of LHV & given LHV
|
3
|
Calculated from Lab Test result LHV & corrected Density
|
1
|
Table2: Compensatory Model – Relative weighting for
Criteria 1 (by the author)
Criteria
2
|
|
Time
Consumed Generator & OPWP to get the FOP in RO/GJ
|
|
Strongly None
|
4
|
Almost None
|
3
|
Requires much time
|
1
|
Requires some time
|
2
|
Table3: Compensatory Model – Relative weighting for
Criteria 2 (by the author)
Criteria
3
|
|
Cost
incurred by OPWP to get the FOP in RO/GJ (estimated by time lost = 30$/hr )
|
|
None
|
3
|
30 $
|
1
|
15 $
|
2
|
Table4: Compensatory Model – Relative weighting for
Criteria 3 (by the author)
Criteria
4
|
|
Cost
incurred by Generator to get the FOP in RO/GJ
|
|
None
|
4
|
Cost of time required to get actual temp of fuel filled
|
3
|
Cost for Lab test per fill
|
2
|
Cost for Lab test per fill
+ Cost of time required to get actual temp of fuel |
1
|
Table5: Compensatory Model – Relative weighting for
Criteria 4 (by the author)
Criteria
5
|
|
3rd
Party Cost for Lab Test to find out LHV & Density
|
|
Not required
|
2
|
Cost for Lab test per fill
|
1
|
Table6: Compensatory Model – Relative weighting for
Criteria 5 (by the author)
Criteria
6
|
|
Quality
& accuracy of results
|
|
much Accurate
|
3
|
Less accurate
|
1
|
accurate
|
2
|
Table7: Compensatory Model – Relative weighting for
Criteria 6 (by the author)
Criteria
7
|
|
Frequency
of repeating the process
|
|
Every fill
|
1
|
Table8: Compensatory Model – Relative weighting for
Criteria 7 (by the author)
Criteria
8
|
|
Process
complication
|
|
ZERO complication
|
3
|
High complication
|
1
|
complicated
|
2
|
Table9: Compensatory Model – Relative weighting for
Criteria 8 (by the author)
Criteria
9
|
|
Easy
for Tracking & Documentation
|
|
Strongly Yes
|
3
|
May lead for poor tracking
|
1
|
Can be tracked
|
2
|
Table10: Compensatory Model – Relative weighting for
Criteria 9 (by the author)
Criteria
10
|
|
Risk
of Error to happen
|
|
Negligible
|
3
|
High risky
|
1
|
Medium risk
|
2
|
Table11: Compensatory Model – Relative weighting for Criteria
10 (by the author)
5. Analysis and
Comparison of the Alternative:
applying
Compensatory Model – Relative Weighting and Additive Weighting after turning
each attribute/ criterion into a base 1 – scoring module, the following results
were found as shown in the below Table:
Attributes
|
Value
|
Formula
|
Dimensionless
Value
|
Criteria
1
|
5
|
(5-1)/(5-1)
|
1
|
4
|
(4-1)/(5-1)
|
0.75
|
|
4
|
(4-1)/(5-1)
|
0.75
|
|
2
|
(2-1)/(5-1)
|
0.25
|
|
3
|
(3-1)/(5-1)
|
0.5
|
|
1
|
(1-1)/(5-1)
|
0
|
|
Criteria
2
|
4
|
(4-1)/(4-1)
|
1
|
4
|
(4-1)/(4-1)
|
1
|
|
3
|
(3-1)/(4-1)
|
0.67
|
|
1
|
(1-1)/(4-1)
|
0
|
|
2
|
(2-1)/(4-1)
|
0.33
|
|
1
|
(1-1)/(4-1)
|
0
|
|
Criteria
3
|
3
|
(3-1)/(3-1)
|
1
|
3
|
(3-1)/(3-1)
|
1
|
|
3
|
(3-1)/(3-1)
|
1
|
|
1
|
(1-1)/(3-1)
|
0
|
|
2
|
(2-1)/(3-1)
|
0.5
|
|
1
|
(1-1)/(3-1)
|
0
|
|
Criteria
4
|
4
|
(4-1)/(4-1)
|
1
|
4
|
(4-1)/(4-1)
|
1
|
|
4
|
(3-1)/(4-1)
|
1
|
|
3
|
(1-1)/(4-1)
|
0.67
|
|
2
|
(2-1)/(4-1)
|
0.33
|
|
1
|
(1-1)/(4-1)
|
0
|
|
Criteria
5
|
2
|
(2-1)/(2-1)
|
1
|
2
|
(2-1)/(2-1)
|
1
|
|
2
|
(2-1)/(2-1)
|
1
|
|
2
|
(2-1)/(2-1)
|
1
|
|
1
|
(1-1)/(2-1)
|
0
|
|
1
|
(1-1)/(2-1)
|
0
|
|
Criteria
6
|
3
|
(3-1)/(3-1)
|
1
|
3
|
(3-1)/(3-1)
|
1
|
|
3
|
(3-1)/(3-1)
|
1
|
|
1
|
(1-1)/(3-1)
|
0
|
|
2
|
(2-1)/(3-1)
|
0.5
|
|
1
|
(1-1)/(3-1)
|
0
|
|
Criteria
7
|
1
|
(1-1)/(1-1)
|
1
|
1
|
(1-1)/(1-1)
|
1
|
|
1
|
(1-1)/(1-1)
|
1
|
|
1
|
(1-1)/(1-1)
|
1
|
|
1
|
(1-1)/(1-1)
|
1
|
|
1
|
(1-1)/(1-1)
|
1
|
|
Criteria
8
|
3
|
(3-1)/(3-1)
|
1
|
3
|
(3-1)/(3-1)
|
1
|
|
3
|
(3-1)/(3-1)
|
1
|
|
1
|
(1-1)/(3-1)
|
0
|
|
2
|
(2-1)/(3-1)
|
0.5
|
|
1
|
(1-1)/(3-1)
|
0
|
|
Criteria
9
|
3
|
(3-1)/(3-1)
|
1
|
3
|
(3-1)/(3-1)
|
1
|
|
3
|
(3-1)/(3-1)
|
1
|
|
1
|
(1-1)/(3-1)
|
0
|
|
2
|
(2-1)/(3-1)
|
0.5
|
|
1
|
(1-1)/(3-1)
|
0
|
|
Criteria
10
|
3
|
(3-1)/(3-1)
|
1
|
3
|
(3-1)/(3-1)
|
1
|
|
3
|
(3-1)/(3-1)
|
1
|
|
1
|
(1-1)/(3-1)
|
0
|
|
2
|
(2-1)/(3-1)
|
0.5
|
|
1
|
(1-1)/(3-1)
|
0
|
Figure 12: Turning each attribute into a base 1 -
scoring model (by the author)
Option 1
|
Option 2
|
Option 3
|
Option 4
|
Option 5
|
Option 6
|
|
Criteria 1
|
1
|
0.75
|
0.75
|
0.25
|
0.5
|
0
|
Criteria 2
|
1
|
1
|
0.666667
|
0
|
0.333333
|
0
|
Criteria 3
|
1
|
1
|
1
|
0
|
0.5
|
0
|
Criteria 4
|
1
|
1
|
1
|
0.666667
|
0.333333
|
0
|
Criteria 5
|
1
|
1
|
1
|
1
|
0
|
0
|
Criteria 6
|
1
|
1
|
1
|
0
|
0.5
|
0
|
Criteria 7
|
1
|
1
|
1
|
1
|
1
|
1
|
Criteria 8
|
1
|
1
|
1
|
0
|
0.5
|
0
|
Criteria 9
|
1
|
1
|
1
|
0
|
0.5
|
0
|
Criteria 10
|
1
|
1
|
1
|
0
|
0.5
|
0
|
Total
|
10
|
9.75
|
9.42
|
2.92
|
4.67
|
1
|
Figure 13: Compensatory Model – Relative Weighting (by
the author)
Figure 14: Compensatory Model – Additive Weighting (by
the author)
6. Selection of the
Preferred Alternative
From
above analysis in table 15, we can clearly recognise that Option1 has the
highest score (which is 1). Therefore, Option1 is a better choice as per the
following table:
Option 2
|
Option 3
|
Option 4
|
Option 5
|
Option 6
|
|
Option 1 is better by
|
10/9.75=1.03*100= 103%
|
10/9.42=1.06*100= 106%
|
10/2.92=3.42*100= 343%
|
10/4.67=2.14*100= 214%
|
10/1=10.0*100= 1000%
|
The
best (3) options are ranked in order as following:
a)
Option 1: Diesel
Price Billed in RO/GJ
b)
Option 2: Diesel
Price Billed in RO/MMBTU
c)
Option 3: Diesel
Price Billed in RO/Litter with (LHV & Density) at Act filled FO temp is
available
7. Performance Monitoring
and the Post Evaluation of Result
Since the best Since the
best Options 1, 2 and 3 in order are the 3 best options for getting the FOP in
RO/GJ. Thus, we may ask the Generator if it is possible to provide the same.
OPWP and MPC need to agree on such selected methodology to be as a base in the
coming Contract years.
8. References:
o The Engineering Toolbox. (n.d.).
Density of fuel oils as function of temperature. Retrieved from https://www.engineeringtoolbox.com/fuel-oil-density-temperature-gravity-volume-correction-ASTM-D1250-d_1942.html
o
Hindawi, & Mathematical Problems
in Engineering. (2016, April 27). Multiple Attribute Decision Making Based on
Cross-Evaluation with Uncertain Decision Parameters. Retrieved from https://www.hindawi.com/journals/mpe/2016/4313247/
o
Mba tools. (n.d.). Grid Analysis.
Retrieved from http://www.mbatools.co.uk/Toolbox/DecisionMaking/gridanalysis.htm
o Planning
Planet. (2014, July 2). | Project Controls - planning, scheduling, cost
management and forensic analysis (Planning Planet). Retrieved from http://www.planningplanet.com/guild/gpccar/managing-change-the-owners-perspective%20Figures%208-14
o Terence
Holmes. (2015, September 1). Fishbein Models [Video file]. Retrieved
from https://www.youtube.com/watch?v=JL1UFF-HJlQ&feature=youtu.be
WOW!!!! Really well done analysis Nasser!!! Now that your paper is just about done you need to switch your focus over to preparing for your PMP Exam.
ReplyDeleteTime to start identifying WEAKNESSES you have based on the problems in Rita's book and start to post blogs showing how you are applying the Tools & Techniques from the PMBOK Guide to help you solve your day to day problems in work.
BR,
Dr. PDG, Bali, Indonesia