DEA를 이용한 자동차 부품업체의 공급사슬 성과측정

Abstract

We present a model for measuring the supply chain performance of parts manufacturers in the automotive industry. The performance measurement model is based on data envelopment analysis (DEA) with input and output factors selected considering the SCOR model and the automotive industry’s characteristics; the proposed model can be differentiated from previous similar approaches in the literature by the fact that the main concept of the SCOR model is incorporated into the DEA model specification. The input factors selected include cost of goods sold, transportation cost, cash-to-cash cycle time, and inventory turnover. The output factors selected include sales and customer evaluation score. The proposed model is applied to the performance evaluation of 224 tier-1 domestic automotive parts firms. As a result of the evaluation, efficient and inefficient firms are distinguished, and the required improvements in terms of input and output factors for inefficient firms to attain efficiency are determined.