Barriers and Overcoming Strategies for Adopting Digital Twin in the Manufacturing Industry

This study investigates the main barriers and overcoming strategies for the implementation of digital twin (DT) technology in the manufacturing industry. The research, conducted in a two-step process, first employed a modified Delphi method with seasoned industry experts to identify and classify main barriers. Later, the best-worst method (BWM) ranked main barriers and mitigation strategies. The most critical challenges determined are the integration of legacy systems, high implementation cost, and data quality. Retrofitting hardware, rolling out cloud services, and edge computing were determined as the best solutions. The findings give real-world insights for organizations seeking to deploy DTs in a prioritized set of tasks and activities applicable to the manufacturing context.

Authors

Institutions

Publication Details

Journal
Journal of Advanced Manufacturing Systems
Published
2025-10-31
DOI
https://doi.org/10.1142/s0219686727500260
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

Barriers and Overcoming Strategies for Adopting Digital Twin in the Manufacturing Industry

Alessandro Lucas Da Silva, LUCAS ANTONIO RISSO, Stefano De Larmelina
Journal of Advanced Manufacturing Systems
Digital Transformation in Industry
article

Barriers and Overcoming Strategies for Adopting Digital Twin in the Manufacturing Industry

Alessandro Lucas Da Silva, LUCAS ANTONIO RISSO, Stefano De Larmelina
article en

Abstract

This study investigates the main barriers and overcoming strategies for the implementation of digital twin (DT) technology in the manufacturing industry. The research, conducted in a two-step process, first employed a modified Delphi method with seasoned industry experts to identify and classify main barriers. Later, the best-worst method (BWM) ranked main barriers and mitigation strategies. The most critical challenges determined are the integration of legacy systems, high implementation cost, and data quality. Retrofitting hardware, rolling out cloud services, and edge computing were determined as the best solutions. The findings give real-world insights for organizations seeking to deploy DTs in a prioritized set of tasks and activities applicable to the manufacturing context.

Journal of Advanced Manufacturing Systems
Universidade Estadual de Campinas (UNICAMP) (BR)
Openalex Percentile: Top 55%
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.