Developing a WPF-CCR for Selecting Suppliers in the Existence of Imprecise Data

Abstract

In recent years, determining the appropriate supplier has become a crucial strategic consideration in the competitive market. Worst-practice frontier-Charnes-Cooper-Rhodes (WPF-CCR) model is one of the models in data envelopment analysis (DEA). The DEA requires that the values for all inputs and outputs be known exactly. However, this assumption may not be true, because data in many real applications cannot be precisely measured. One of the important methods to deal with such conditions is considering imprecise data in DEA. In this paper, the concept of imprecise data envelopment analysis (IDEA) approach is used to develop WPF-CCR model. A numerical example demonstrates the application of the proposed model.