000162273 001__ 162273
000162273 005__ 20251017144603.0
000162273 0247_ $$2doi$$a10.1016/j.future.2025.107997
000162273 0248_ $$2sideral$$a144832
000162273 037__ $$aART-2025-144832
000162273 041__ $$aeng
000162273 100__ $$aAznar Lapuente, Gabriel
000162273 245__ $$aMethodologies in digital twin for manufacturing industry: A systematic literature review
000162273 260__ $$c2025
000162273 5060_ $$aAccess copy available to the general public$$fUnrestricted
000162273 5203_ $$aIn recent years, the investigation of methodologies pertaining to the application of digital twins within the industrial sector has garnered significant interest. This increased development is attributed to the challenges associated with the sustainable design, development, and implementation of such solutions. This study undertakes a systematic review of the literature, encompassing entries from three prominent databases over the past five years. Consequently, the study analyzes step-by-step methodologies, both generalist and specific to particular domains and applications. The paper commences with a brief introduction and presentation of foundational concepts, followed by an exploration of related works and the methodology employed in this research. The study proceeds with detailed sections dedicated to each analyzed methodology, culminating in a discussion and conclusion section that underscore the increasing interest in the development of novel methodologies for the design and implementation of digital twins. Despite the growing volume of research in this domain, a significant proportion of the literature lacks comparative analyses of the benefits, advantages, and limitations associated with different methodological approaches. Furthermore, many of these studies remain largely theoretical or are confined to narrowly defined use cases, with limited evidence of practical, real-world application. The review concludes that digital twins constitute complex systems comprising real, digital, virtual, and conceptual components. It also highlights those numerous methodologies, originally developed in other disciplines, possess the potential to be adapted to support the development and deployment of digital twin systems.
000162273 536__ $$9info:eu-repo/grantAgreement/ES/MCIU-CDTI/CER-20231003 RED CERVERA
000162273 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000162273 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000162273 700__ $$0(orcid)0000-0002-2908-8697$$aMorella Avinzano, Paula
000162273 700__ $$0(orcid)0000-0003-1401-6495$$aLamban Castillo, Maria Pilar$$uUniversidad de Zaragoza
000162273 700__ $$aSeneviratne, Dammika
000162273 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación
000162273 773__ $$g174 (2025), 107997 [13 pp.]$$pFuture gener. comput. syst.$$tFuture Generation Computer Systems-The International Journal of Grid Computing Theory Methods and Applications$$x0167-739X
000162273 8564_ $$s1909003$$uhttps://zaguan.unizar.es/record/162273/files/texto_completo.pdf$$yVersión publicada
000162273 8564_ $$s2660585$$uhttps://zaguan.unizar.es/record/162273/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000162273 909CO $$ooai:zaguan.unizar.es:162273$$particulos$$pdriver
000162273 951__ $$a2025-10-17-14:14:42
000162273 980__ $$aARTICLE