Digital twins for industrial decision-making

Industry4.0 and digital twins are concepts which have been proposed for industrial production systems. The impact on decision-making and how legacy systems need to migrate towards service-oriented decision support systems is less well understood. In this paper, we identify a decision system as a chain of connected but autonomous and loosely-coupled decision processes. We propose digital twins as a framework over these processes in order to make holistic decisions without the need of building a single, tightly integrated decision model. We discuss bottlenecks and potential pathways using the case of reconfigurable manufacturing, which brings forward some of these complexities in planning and scheduling of assembly systems. A novel digital twin architecture is discussed that better models service-oriented decision systems in Industry4.0.

Authors

Publication Details

Journal
Ghent University Academic Bibliography (Ghent University)
Published
2026-01-01
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

Digital twins for industrial decision-making

Daniel Guzman Vargas, Sidharta Gautama
Ghent University Academic Bibliography (Ghent University)
Digital Transformation in Industry
article

Digital twins for industrial decision-making

Daniel Guzman Vargas, Sidharta Gautama
article en

Abstract

Industry4.0 and digital twins are concepts which have been proposed for industrial production systems. The impact on decision-making and how legacy systems need to migrate towards service-oriented decision support systems is less well understood. In this paper, we identify a decision system as a chain of connected but autonomous and loosely-coupled decision processes. We propose digital twins as a framework over these processes in order to make holistic decisions without the need of building a single, tightly integrated decision model. We discuss bottlenecks and potential pathways using the case of reconfigurable manufacturing, which brings forward some of these complexities in planning and scheduling of assembly systems. A novel digital twin architecture is discussed that better models service-oriented decision systems in Industry4.0.

Ghent University Academic Bibliography (Ghent University)
Openalex Percentile: Top 94%
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.