# W3_HWB_Multiattributes Decision Making – Compensatory Models

1. Problem Definition

At this third blog, I will try to demonstrate what I learned from the book Engineering Economic chapter 14. This technique will be done on the same problem with a problem on my second blog, which is how to choose a water purifier from the many options available.

2. Development of Feasible Alternatives

There are many brands of air purifier at an electronics store with a variety of different specifications. Many decisions are based on other attributes than price[1]. I will use Multiattribute Decision Making with Compensatory Models to select the option, that method will help me narrow down the options through a systematic approach of comparing choices by ranking, weighting, and scoring attributes.

3. Development Outcomes for Alternative

First, list all the option also list attributes on which to choose, it becomes the initial data as table below [2].

4. Selection of Criteria

After setting options and attributes, relative weight are assigned to each attribute according to its ordinal ranking. The simplest procedure is to use rankings of 1,2,3…, based on position, with higher numbers signifying greater importance [3].

Price = 3

Power = 2

Capacity = 4

Warranty = 1

5. Analysis of the Alternatives

Standardize attribute values by convert them to nondimensional form. All of the dimensionless attributes should follow the same trend with respect to desirability. This is necessary in order to have a believable overall scale for selecting the best alternative.

Weighting factor and scoring each alternatives:

6. Selection of Preferred Alternative

The calculation result shows that the highest value is 0.99, that’s option fell on Panasonic F-pmf35a air purifier brands.

7. Performance Monitoring & Post Evaluation of Results

This result is different than the results with the choice of using the Full Analytical Criteria Method in the previous blog. I think this is due to a different ranking ranges in both methods. However, the method Compensatory Models are easier to use because it is faster to do than previous methods. Monitoring and evaluation can be done by adding the attribute and increase number of choice.

References:

[1] Multi attribute Decision Making. Retrieved from http://www.agsm.edu.au/bobm/teaching/EIA/lect15-3.pdf

[2]Info air purifier product. Retrieved from http://www.bhinneka.com/category/air_purifier/brands/sharp.aspx

[3]Sullivan, William G., Wicks, Elin M., & C.Patrick, Koelling. (2012), Engineering Economy 15th Edition. New Jersey, United States: Prentice Hall.