Evaluation of Chinese Cloth Suppliers using Dynamic Grey Relational Analysis

Abstract

The clothing industry is one of the world's most important and innovative industries. Furthermore, it is a major industry in developing economies such as China and India. With the global economic turmoil and environmental problems expanding, it is extremely important to choose suppliers who offer the highest level of customer satisfaction while taking environmental concerns into account. The study aims to evaluate wholesale clothing suppliers of a Chinese import/export company using the Dynamic Grey Relational Analysis (DGRA) model. The results are validated through comparative analyses with the Ordinal Priority Approach (OPA) and TOPSIS models. The results show that the DGRA is a reliable approach to supplier selection in apparel industry.