Using Malmquist productivity index in a Two-stage Sustainable Supply Chain

Abstract

Data envelopment analysis (DEA) is used as a handy tool to evaluate a set of decision-making units (DMUs) forming a sustainable supply chain (SSC). Furthermore, the Malmquist Productivity Index (MPI) is used to determine the level of progress or regression in the DMUs. In this paper, we calculate the MPI in a sustainable supply chain using non-radial DEA models. Generally speaking, we are after the sustainability of economic, environmental and social conditions in a supply chain, and the subject of sustainable supply chain is quite important in this respect. Thus, in this paper, MPI is calculated in a sustainable supply chain using the non-radial Enhanced Russell Measure (ERM). Moreover, our applied study involves an evaluation of sustainable supply chains in Iranian oil refineries.