DEVELOPMENT AND EVALUATION OF DIGITAL TWINS’ EFFECTIVENESS IN INDUSTRIAL ECONOMY

Digital twins are becoming a key element in the digitalization of industrial production, enabling integration of physical and virtual environments throughout the product and process lifecycle. This article explores the principles of digital twin design, their classification, and application areas in the context of improving operational efficiency and strategic sustainability of enterprises. The paper analyzes the economic impact of digital twins, including cost reduction, productivity growth, downtime reduction, and maintenance optimization. It also proposes approaches to assess the economic effectiveness of IT investments in twin technologies using metrics such as ROI, TCO, and OEE growth. Key implementation barriers are identified, and future development directions are outlined, including AI integration and transition to self-learning industrial systems.

Authors

Publication Details

Journal
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Published
2025-01-01
DOI
https://doi.org/10.36871/ek.up.p.r.2025.05.08.020
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DEVELOPMENT AND EVALUATION OF DIGITAL TWINS’ EFFECTIVENESS IN INDUSTRIAL ECONOMY

Svetlana V. Markova, Lyudmila V. Goloshchapova, Almaz R. Galyaviyev
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Digital Transformation in Industry
article

DEVELOPMENT AND EVALUATION OF DIGITAL TWINS’ EFFECTIVENESS IN INDUSTRIAL ECONOMY

Svetlana V. Markova, Lyudmila V. Goloshchapova, Almaz R. Galyaviyev
article en

Abstract

Digital twins are becoming a key element in the digitalization of industrial production, enabling integration of physical and virtual environments throughout the product and process lifecycle. This article explores the principles of digital twin design, their classification, and application areas in the context of improving operational efficiency and strategic sustainability of enterprises. The paper analyzes the economic impact of digital twins, including cost reduction, productivity growth, downtime reduction, and maintenance optimization. It also proposes approaches to assess the economic effectiveness of IT investments in twin technologies using metrics such as ROI, TCO, and OEE growth. Key implementation barriers are identified, and future development directions are outlined, including AI integration and transition to self-learning industrial systems.

EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYAVol. 5/8(158)
Openalex Percentile: Top 83%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

DEVELOPMENT AND EVALUATION OF DIGITAL TWINS’ EFFECTIVENESS IN INDUSTRIAL ECONOMY — Svetlana V. Markova, Lyudmila V. Goloshchapova, et al. · EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA (2025) | TGRS Research Map | TGRS