Personal Computers Using Data Envelopment Analysis
نویسندگان
چکیده
The decision to purchase one product rather than another becomes more difficult as the number of alternatives under consideration increases. Having to simultaneously evaluate a large number of product attributes among the alternatives can further complicate this decision process. Notebook personal computers are a good example of a product whose many attributes (e.g. price, performance, display type) make direct comparisons difficult. This research uses Data Envelopment Analysis (DEA) as a decision support tool to determine a desirable collection of notebook computers from a set of 146 evaluated. DEA simplifies comparisons among the competing alternatives by providing a single composite measure for each computer when all attributes must be considered simultaneously. This single measure informs the decision-maker which notebooks are efficient, or desirable, as compared to the others. The research shows that, of the 146 evaluated, nine are efficient, meaning they have a collective set of attributes that dominate those of the other 137 notebooks. Through sensitivity analysis it is also shown that these nine notebooks are reasonably robust with respect to unfavorable changes in their attributes.
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