DIGITAL TRANSFORMATION OF ENTERPRISE LOGISTICS USING DIGITAL TWINS

  • A.D. Stolyarov Institute of Applied Information Technologies, Moscow, Russia
  • A.M. Faizullina National Research Nuclear University MEPhI, Moscow, Russia
  • V.I. Abramov National Research Nuclear University MEPhI, Moscow, Russia

Abstract

Effective management of logistics processes in an environment of rapid change is becoming a prerequisite for increasing the competitiveness of enterprises and improving customer service. The purpose of the article is to identify the features of digital transformation in logistics using digital twin technologies, as well as the advantages that such transformations can give us. Digital twins provide the ability to manage physical assets such as warehouses, equipment, and vehicles optimally to improve resource utilization and reduce costs. The research methodology is based on a systematic approach used in the analysis of complex economic systems, and uses general scientific methods of cognition: analysis, comparison, logical reasoning, fact collection, synthesis, as well as a structural approach. The features of data exchange between the logistics system and its digital twin are discussed. The barriers that the implementation of digital transformation of logistics and the use of digital twins currently face are considered, and approaches to overcome these barriers are proposed. Digital twins have been shown to be a powerful tool that can be used to model and analyze logistics processes, allowing logistics companies to improve their performance, reduce risks and improve customer service. It is concluded that, in the long term, the efforts invested in the implementation of these technologies can increase the productivity and competitiveness of companies significantly in the modern digital economy. Directions for further research should be related to the analysis of successful experience in implementing the digital transformation of logistics using digital twins and the proposal of frameworks for optimizing efforts and costs during their implementation.

Keywords: logistics, multi-criteria optimization, digital transformation, digital twins, digital             technologies

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About the Authors

Alexander D. Stolyarov – Research Associate, Institute of Applied Information Technologies, Moscow, Russia. E-mail: mr.alexst@gmail.com. SPIN РИНЦ 5180-2461. ORCID 0000-0001-8916-6709

Alfiya M. Faizullina – Graduate Student, National Research Nuclear University MEPhI, Moscow, Russia. E-mail: faizullinaAM@ulba.kz. SPIN РИНЦ 7611-3631. ORCID 0009-0000-7753-1924

Viktor I. Abramov – Dr. Sci. (Economics), Docent; Professor, National Research Nuclear University MEPhI, Moscow, Russia. E-mail: viabramov@mephi.ru. SPIN РИНЦ 9180-0782. ORCID 0000-0002-9471-9408. ResearcherID AEL-7284-2022. Scopus Author ID 56005129700

For citation: Stolyarov A.D., Faizullina A.M., Abramov V.I. Digital Transformation of Enterprise Logistics Using Digital Twins // Beneficium. 2024. Vol. 2(51). Pp. 23-31. (In Russ.). DOI: 10.34680/BENEFICIUM.2024.2(51).23-31

Published
2024-06-10
Section
ENTERPRISE MANAGEMENT TOOLS