In today's global and international business, supply chains pose a major challenge in the field of management, which implies the concept of managing from raw material to delivery of the finished product to the end customer. Supply chain management establishes a quality system that will properly, efficiently and effectively meet all the needs and requirements of both partners and end customers. Supply chains represent the flow of goods, services and information. The purpose of this article is to conduct an in-depth extensive literature review of studies implementing the DEA (Data Envelopment Analysis) methodology in supply chain management in the period from 2017 to August 2021 and focuses on 6 studies published in peer-reviewed journals that are cited in Scopus and WoS (SSCI and SCI papers). Furthermore, it reveals the journals that have published most of these papers as well as country of origin of the authors investigating “DEA” and “SUPPLY CHAIN MANAGEMENT” combined. This article also presents the leading mathematical programming methodology DEA and offers a theoretical background of this technique. DEA is the renowned non-parametric approach for evaluating the relative efficiency and performance of peers (known as Decision Making Units). It can be expected for this study to represent a basis and guidance for further research and implementation of DEA in supply chain management areas.