Litcius/Paper detail

Digital Twin Lean Intralogistics: Research Implications

Paweł Pawlewski, Monika Kosacka-Olejnik, Karolina Werner-Lewandowska

2021Applied Sciences17 citationsDOIOpen Access PDF

Abstract

This article presents research implications related to the analysis of current trends occurring in the industry and resulting from the analysis of trends in literature. A new trend is noticeable in the range of computer simulations using digital twin technologies in the optimization of intralogistics processes, the implementation of which is based on Lean philosophy. This article shows the connection of Industry 4.0 with Lean in the context of Digital Twin (simulation) in the area of intralogistics. A three-step methodology of literature research was developed and described. In accordance with the adopted research methodology, research questions were indicated and a detailed list of selection criteria was developed. The research methods included brainstorming and statistical analysis. The research results are presented in three sections: the results of the trend analysis, the results of the quantitative literature research, and the results of the complementary research. The research results confirm the existence of a new trend and form the basis for formulating objectives for further research.

Topics & Concepts

BrainstormingComputer scienceManagement scienceSelection (genetic algorithm)EngineeringArtificial intelligenceDigital Transformation in IndustryEconomic and Technological Systems AnalysisEngineering Technology and Methodologies