Every companies use many different inputs such as assets, employees, and materials to generate and to produce some outputs such as profits, revenue, market share, brand popularity, etc. This dissertation focused on a linear programming model used in performance evaluation of six international fashion brand’s industries as of the year of 2012. The purpose of this dissertation is to determine the efficiency of each company compared to the peer competitors within others fashion brands. The technique used in this paper is called Data Envelopment Analysis (DEA). It is an approach based on data for evaluating the performance of a set of peer entities called Decision Making Units (DMUs) which convert multiple inputs into multiple outputs. The emphasis was on data selection and cleanup, mathematical approach behind the data envelopment analysis model, and the application of this model to the efficiency comparison.
