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The purpose of this paper is to classify the main barriers related to the implementation of lean supply chain management (LSCM) and prioritize its main practices. A case study approach was conducted to obtain values for the intensity of the relationship between LSCM practices and barriers to mitigate or even anticipate difficulties in its implementation.

The case study in a company in southern Brazil that is in lean implementation is used for conducting this research. The methodology was structured in three steps, namely, classification of the main barriers through risk analysis, selection of LSCM practices appropriate to the company context and ranking and prioritization of the main practices of LSCM related to the barriers to lean implementation.

As a result, with the combination of two approaches, failure mode and effect analysis (FMEA) and analytical hierarchical process (AHP), it was possible to obtain values for the intensity of the relationship between LSCM practices and barriers. From the 12 barriers, 5 reached a high-risk degree that can be mitigated, and among the 18 practices found, 7 have the potential to be implemented.

This research allows direct efforts to continuously improve the supply chain to mitigate or even anticipate difficulties in its implementation. The proposed methodology, combining FMEA and AHP is easy to apply and understand, allowing managers and professionals to replicate it in the context of their supply chain and verify results similar and comparable to those obtained here.

The purpose of this paper is to overview the academic literature on benchmarking of best practices tracking the most important articles and understanding the similarity between studies.

The most relevant articles were identified using techniques such as the PageRank algorithm and co-citation maps. An analysis of the most relevant articles presents the main concepts, methods and updated discussions on this research field.

The analysis of academic output substantiates the increase in the production of articles on this research topic. There were identified two main clusters of co-cited articles, one related to data envelopment analysis (DEA) and other that presents a wide variation of methods for benchmarking. There are important critiques towards the past research on benchmarking of best practices, yet, new DEA approaches seem to address most of the criticized issues.

From time to time, a review of the literature of a certain field of knowledge is useful for other researchers to identify and organize its main theories, new trends, most relevant works, influent authors and important publications.

This paper delivers two important values: the updated discussion on benchmarking of best practices, clearing both DEA and non-DEA studies; and the methods adopted to systematically review the literature, which is original on this field of research.