Decision-making modeling for Digital Twin implementation in the circular economy within the aviation sector

Abstract

This paper offers a comprehensive examination of the potential benefits and challenges associated with the adoption of Digital Twins in the aviation industry, with a particular emphasis on advancing sustainability objectives. We propose an adaptable methodological framework designed to support aviation's transition towards circular business models, specifically in the realm of commercial aircraft fleet management. Through a thorough analysis of expert insights and literature, we identify key factors influencing the successful implementation of Digital Twins. Furthermore, we explore the prioritization of sensor deployment based on principles of the circular economy, aimed at maximizing benefits while minimizing barriers. Our findings highlight the critical role of motion sensors in enhancing security measures within aviation facilities, thereby safeguarding personnel and assets. This conclusion has been consistently validated through sensitivity analyses conducted across diverse scenarios, wherein the weighting of benefits and challenges identified and categorized from literature was systematically varied. The proposed methodological approach is not limited to aviation but can be extended to various sectors seeking to leverage Digital Twins for operational optimization, sustainability enhancements, and gaining deeper insights into key performance indicators in diverse industries.