Supplier evaluation by a new cumulative DEA model

Supplier selection is the main concern of managers in today’s competitive world. Having different criteria makes this decision difficult. Data envelopment analysis (DEA) is a technique that can evaluate suppliers based on different criteria. In this paper, suppliers are evaluated based on a new cumulative DEA model. The proposed model has five features of robustness in measurement unit, uniformity, robustness against movement, dependency to the universal set and lack of sensitivity to zero input values. The performance of the proposed model is investigated on a case study taken from a doors and windows manufacturing company and the results show the five considered features.