W8 _ Nasser_ Selecting the best 3 Methods for Calculating Fuel Oil Price (FOP) using MADM - Additive Weighting technique 

1.     Problem Definition


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 1: Diesel Price Billed in RO/GJ
-         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

Comments

  1. 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.

    Time 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

    ReplyDelete

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