Advances and hotspots analysis of value stream mapping using bibliometrics

Abstract

Purpose

Value stream mapping (VSM) is a visualization tool to identify and eliminate waste and widely applied in manufacturing, transportation, construction, service and other industries, especially in the Industrial 4.0 technology era. The purpose of this paper is to review and analyze the VSM literature to identify the advances and hotspots of VSM literature.

Design/methodology/approach

Taking the VSM literature collected from the Web of Science Core Collection database as the research samples, this research used the bibliometric and keyword co-occurrence analysis to analyze the publication trend, research topics and their contents of VSM from concept integration, application sectors and technology expansion.

Findings

With the development of research, the latest research integrates conceptual integration, application departments and technology expansion to develop more complex research designs. It can be integrated with simulation, six sigma, big data, Internet of Things and other technologies to expand the analysis and design ability of VSM, which enhances the adaptability of VSM to various scenarios.

Originality/value

This research contributes to VSM literature by conducting a systematic review based on the citation structure within VSM research and identifies the established and emerging areas of research on VSM.

Citation

Liu, C. and Zhang, Y. (2023), "Advances and hotspots analysis of value stream mapping using bibliometrics", International Journal of Lean Six Sigma, Vol. 14 No. 1, pp. 190-208. https://doi.org/10.1108/IJLSS-12-2021-0219