Decision-making framework for prioritizing digital twin sensor parameters with application in the aviation sector

Akram Pattan, Madhura Bhandigani, Silvia Carpitella (), Salvatore Quaranta, Antonella Certa and Giuseppe Aiello
Additional contact information
Akram Pattan: California State University, Northridge
Madhura Bhandigani: California State University, Northridge
Silvia Carpitella: California State University, Northridge
Salvatore Quaranta: University of Palermo
Antonella Certa: University of Palermo
Giuseppe Aiello: University of Palermo

Environment Systems and Decisions, 2025, vol. 45, issue 4, 1-25

Abstract: Abstract This paper proposes a structured decision-making framework for supporting Digital Twin implementation by integrating Fuzzy Decision-Making Trial and Evaluation Laboratory with the Technique for Order of Preference by Similarity to Ideal Solution. The framework is applied to the aviation sector as a case study, focusing on the transition toward circular economy practices. The methodological contribution lies in formalizing and weighting key benefits and challenges of Digital Twin adoption, followed by a structured ranking of enabling sensor parameters. Grounded in literature analysis and expert input, this framework offers managerial and strategic decision support under uncertain conditions. The findings of this study confirm the framework’s ability to prioritize critical factors and such sensor parameters as motion sensors, essential components for monitoring human movement and detecting unauthorized access to restricted areas within aviation facilities. Diverse scenarios of sensitivity analyses have been conducted by formalizing multiple weighting scenarios for the most significant benefits and challenges, reinforcing the reliability of the outcomes. Beyond the aviation sector, the framework has the potential to be extended to other industries, providing a strategic tool for guiding Digital Twin-sensor prioritization in complex operational environments.

Keywords: Digital twin; Circular economy; Digitalization; Sustainability; Aviation industry; Fuzzy DEMATEL; TOPSIS (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10669-025-10053-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:envsyd:v:45:y:2025:i:4:d:10.1007_s10669-025-10053-y

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10669

DOI: 10.1007/s10669-025-10053-y

Access Statistics for this article

More articles in Environment Systems and Decisions from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().