Title: A bibliometric analysis of scientific production in lean supply

Authors: Kellen Dayelle Endler; Cassius Tadeu Scarpin; Maria Teresinha Arns Steiner

Addresses: Program in Numerical Methods in Engineering, Universidade Federal do Paraná, Prefeito Lothário Meissner Street, 632, Curitiba-PR, Brazil ' Program in Numerical Methods in Engineering, Universidade Federal do Paraná, Prefeito Lothário Meissner Street, 632, Curitiba-PR, Brazil ' Program in Industrial and Systems Engineering, Pontifícia Universidade Católica do Paraná, Imac. Conceição Street, 1155, Curitiba – PR, Brazil

Abstract: A lean supply chain arrangement should provide flow of goods, services and technology from the supplier of raw materials to the customer without waste. Lean supply is an increasingly visible area not only at the theoretical level, but also in terms of practical application in companies offering products or services. Thus, scientific progress in this field of study is fundamentally derived from the knowledge available about it, which is the result of investigations and interactions by researchers over time. The main objective of this study, therefore, is to conduct a quantitative analysis of scientific production on lean supply between 1992 and 2016. The work was carried out with a methodical review of the literature, relying on bibliometric techniques, by consulting the databases ISI Web of Knowledge and Scopus, and their treatment by Bibexcel and Pajek softwares. For the research, the term 'lean supply' was used as a key expression, generating a sample of 211 published articles. Descriptive statistical results were presented, identifying the authors, articles and journals most frequently referenced by scholars worldwide. At the end of the study, recent papers of the sample were classified and analysed based on research methods and industry sectors.

Keywords: lean supply; lean; supply chain management; SCM; bibliometric analysis.

DOI: 10.1504/IJLSM.2018.094192

International Journal of Logistics Systems and Management, 2018 Vol.31 No.1, pp.82 - 108

Received: 30 Jul 2016
Accepted: 28 Mar 2017
Published online: 22 Aug 2018 *

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