scholarly journals Sustainable production and the role of digital twins–Basic reflections and perspectives

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Robert Miehe ◽  
Lara Waltersmann ◽  
Alexander Sauer ◽  
Thomas Bauernhansl
2020 ◽  
Vol 53 (2) ◽  
pp. 10556-10561
Author(s):  
Chiara Cimino ◽  
Gianni Ferretti ◽  
Alberto Leva
Keyword(s):  

2020 ◽  
Vol 53 (2) ◽  
pp. 10574-10578
Author(s):  
Cosimo Piancastelli ◽  
Mario Tucci
Keyword(s):  

2021 ◽  
Vol 8 (3) ◽  
pp. 189-200
Author(s):  
Adel Razek

In this assessment, we have made an effort of synthesis on the role of theoretical and observational investigations in the analysis of the concepts and functioning of different natural biological and artificial phenomena. In this context, we pursued the objective of examining published works relating to the behavioral prediction of phenomena associated with its observation. We have examined examples from the literature concerning phenomena with known behaviors that associated to knowledge uncertainty as well as cases concerning phenomena with unknown and changing random behaviors linked to random uncertainty. The concerned cases are relative to brain functioning in neuroscience, modern smart industrial devices, and health care predictive endemic protocols. As predictive modeling is very concerned by the problematics relative to uncertainties that depend on the degree of matching in the link prediction-observation, we investigated first how to improve the model to match better the observation. Thus, we considered the case when the observed behavior and its model are contrasting, that implies the development of revised or amended models. Then we studied the case concerning the practice of modeling for the prediction of future behaviors of a phenomenon that is well known, and owning identified behavior. For such case, we illustrated the situation of prediction matched to observation operated in two cases. These are the Bayesian Brain theory in neuroscience and the Digital Twins industrial concept. The last investigated circumstance concerns the use of modeling for the prediction of future behaviors of a phenomenon that is not well known, or owning behavior varying arbitrary. For this situation, we studied contagion infections with an unknown mutant virus where the prediction task is very complicated and would be constrained only to adjust the principal clinical observation protocol. Keywords: prediction, observation, Bayesian, neuroscience, brain functioning, mutant virus


Author(s):  
Simonov Kusi-Sarpong ◽  
Muhammad Shujaat Mubarik ◽  
Sharfuddin Ahmed Khan ◽  
Steve Brown ◽  
Muhammad Faraz Mubarak

2018 ◽  
Vol 1 (10) ◽  
pp. 574-582 ◽  
Author(s):  
Judy M. Bettridge ◽  
Androniki Psifidi ◽  
Zelalem G. Terfa ◽  
Takele T. Desta ◽  
Maria Lozano-Jaramillo ◽  
...  

Author(s):  
Simona Naspetti ◽  
Serena Mandolesi ◽  
Jeroen Buysse ◽  
Terhi Latvala ◽  
Philippa Nicholas ◽  
...  

The goal of the study was to assess the farmers’ acceptance of three sustainable production strategies, namely ‘Agro-forestry’, ‘Alternative protein source’ and ‘Prolonged maternal feeding’. Data on the acceptance of these strategies were collected by a survey of dairy farmers in six EU countries (AT, BE, DK, FI, IT, UK). An extended version of the Technology Acceptance Model (TAM) was applied by means of Structural Equation Modelling to testing various hypotheses on attitudes and intentions of dairy farmers towards these novel production strategies, as well as the influence of organic practices and collaborative behaviours along the supply chain. We found that the most preferred strategy - across all countries - was soy substitution by alternative protein sources. We also found that the intention to adopt a sustainable production strategy may derive from the influence of opinions (and behaviours) of relevant others, showing the role of interactions among farmers and other stakeholders in the adoption of innovations. Finally, the perceived usefulness of all investigated strategies is higher for organic farmers, while collaborative patterns reduce the impact of subjective norm on usefulness and overall acceptance. Our findings should encourage policy makers to consider the important role of supply chain management practices, including collaboration, to enhance the sustainability of dairy farming systems.


2021 ◽  
Vol 3 (4) ◽  
pp. 72-77
Author(s):  
I. I. GLOTOVA ◽  
◽  
E. P. TOMILINA ◽  
E. V. MAKSIMOVA ◽  
◽  
...  

The article discusses the role of technology "digital twins" in the development of digital technologies. Analysis of the development of digital technologies reveals the relevance of the development and implementation of digital technologies in the company's business processes. The article analyzes the main modeling methods used to create digital twins. The features of the use of digital twins in the activities of industrial companies are revealed and the benefits for the company from their use are highlighted. It is noted that the use of the technology "digital twins" allows you to reduce the need for financial resources while minimizing the time spent. It has been established that the use of this technology in the activities of large Russian industrial companies will contribute to a significant increase in the efficiency of their activities and the development of the digital technologies market.


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