# W3_TH_ Gas Station Prime Mover Selection by Using Multi Attribute Decision

1. Problem Definition.

There are three types of prime mover commonly used on gas station project: gas engine, electric motor and diesel engine. This prime mover used to driven CNG compressor. By using multi attribute decision, we can choose the best option for gas station project.

1. Identify the Feasible Alternative.

Summary data of three prime mover types:

Table 1 Prime Mover Data

There are six criteria of evaluation known as attribute. Selection of prime mover types will use both methods of multi-attribute decision: non-compensatory model and compensatory model.

1. Development of the Outcome for Alternative.

3.1.    Non-compensatory model.

Four non-compensatory models that will be used: (1) dominance, (2) satisficing, (3) disjunctive resolution, and (4) lexicography.

To check for dominance in Table 1, pairwise comparison of each prime mover`s set of attributes must be inspected, as shown in Table 2.

Table 2 Evaluation of Dominance

Based on Table 2, we know that no prime mover is dominant than others.

To illustrate the satisficing model, acceptable limits must be established for each attributes.

Table 3 Evaluation of Satisficing Model

No alternatives that are eliminated on this models, shown by Table 3.

Table 3 also is used to evaluate the disjunctive resolution, where concluded that all alternatives is acceptable because each has at least one attribute value that meets or exceeds the minimum expectation.

To conduct lexicography, the first step is to rank each attribute, as shown in Table 4.

Table 4 Attributes Ranking

Table 5 shows evaluation using lexicography, where “Electric Motor (A)” has highest rank attribute.

Table 5 Lexicography Evaluation

3.2.     Compensatory model.

In this evaluation, two compensatory models, that are the non-dimensional scaling and the additive weighting technique will be used.

Ranking attribute by using non-dimensional scaling as shown in Table 6.

Table 6 Non-dimensional scaling (NDS)

As shown in Table 6, alternative “Electric Motor (B)” has highest rank

After set relative rank for each attribute, further is to conduct additive weighting for all alternatives as shown in table 7.

Table 7 Additive weighting evaluation (AWE)

Note: Column Relative Rank is taken from Table 5.

As shown in Table 7, alternative “Gas Engine (A)” has highest rank.

1. Selection of Criteria.

A selection criterion for prime mover selection is the highest rank.

1. Analysis and Comparison of the Alternative.

Table 8 shows ranking of prime mover that resulted from both non-compensatory model and compensatory model.

Table 8 Ranking of Prime Mover

As shown in Table 8, it is interesting to see that both methods result the different rank order, where on Non-compensatory model and Compensatory model NDS: “Electric Motor (B)” has rank number I (highest) followed by Gas Engine (A), and Diesel Engine (C). Different with Compensatory model AWE result: “Gas Engine (A)” has rank number I (highest) followed by Diesel Engine (C) and Electric Motor (B).

1. Selection of the Preferred Alternative.

Electric Motor will be decided as prime mover type for the gas station project. But if the delivery time and OPEX (as shown by rank Table 7) be the main concern, the best choice is Gas Engine.

1. Performance Monitoring and the Post Evaluation of Result.

To ensure that all requirements are met, monitoring should be conducted during execution of the project.

References:

1. Sullivan, W.G., Wicks, E. M., Koelling, C. P. (2014). Engineering Economy, Chapter 14, page 559 to 617. Pearson. Sixteenth Edition.
3. W3_MFO_Gas Meter Selection by Using Multi Attribute Decision. Retrieved from https://emeraldaace2017.com/2017/08/15/w3_mfo_-gas-meter-selection-by-using-multi-attribute-decision/

## 1 thought on “W3_TH_ Gas Station Prime Mover Selection by Using Multi Attribute Decision”

1. AWESOME Pak Tommy!!!

Another way to analyze the options would be to try TOTAL LIFE CYCLE COSTING? That is yet another way to look at them, especially given that there was no clear winner.

Great job and look forward to see what else you come up with for interesting blog posting topics. However I am still waiting for the INTRODUCTION to your paper. That should be done by now.

BR,
Dr. PDG, Jakarta, Indonesia