Digital twin model and global sensitivity analysis of an indirect type solar dryer with sensible heat storage material: An approach from exergy sustainability indicators under tropical climate conditions

Optimization of computational intelligence approach for the prediction of glutinous rice dehydration

“…8(A). The closeness in the first‐ and total‐order sensitivity indices shows that all the computational intelligence models rely significantly on the main effect of the variability in each experimental variable with reduced respective interactions 20 …”

“…Also, in spite of several studies reported for the prediction of the dehydration process of grains using the computational intelligence approach, there is a lack of information on the effect of the process input parameters on the computational intelligence models due to their complexity. This problem can be solved by carrying out sensitivity analysis which potentially evaluates the level of importance and contribution of the input parameters to the computational intelligence behaviour 20 . Sensitivity analysis can be classified into two main categories, namely local sensitivity analysis and global sensitivity analysis (GSA).…”

“…Local sensitivity analysis is denominated as one‐at‐time sensitivity analysis as the approach focuses on the sensitivity of the model output to the variation in a single parameter 21 . GSA evaluates the variability of the model outputs to all the input parameter distributions simultaneously which makes GSA a more efficient approach due to its quantitative and thorough overview of the input parameters 20 . Thus, the study reported here attempted to improve the computational intelligence model performance by optimizing the hyperparameters of the models using different techniques and estimating the effect of the experimental parameters on the output of the computational intelligence model through GSA.…”

Selecting sustainability indicators for smart product design based on industry 4.0/5.0 technologies: analysis and proposal of a methodological framework

“…Filtering is based on reading the Title, Abstract or Keywords since 2013. Each search string has been categorized to represent the following After filtering results S1: ("smart product" OR "intelligent product" OR "smart design" OR "smart product development") AND ("industry 4.0" OR "industry 5.0" OR "digitalization" OR "digital twin" OR "digital threads") Smart product and Industry 4.0 137 (science direct) 332 (scopus) 11 articles: (Rauch et al, 2016;Nunes et al, 2017;Zheng et al, 2019;Romero et al, 2020;Zheng and Hong Lim, 2020;Boßlau, 2021;Cao et al, 2021;Sallati and Schützer, 2021;Carrera-Rivera et al, 2022;Ghobakhloo et al, 2022;Ehemann et al, 2023) S2: ("smart product" OR "intelligent product" OR "smart design" OR "smart product development") AND ("sustainability indicators" OR "sustainable indicators" OR "environmental impact") Smart product and Sustainability indicators 11 (science direct) 26 (scopus) 4 articles: (Tchertchian and Millet, 2017;Liu et al, 2018;Riedelsheimer et al, 2020;Song et al, 2021) S3: («sustainable indicators" OR "sustainability indicators") AND ("industry 4.0" OR "industry 5.0" OR "digitalization" OR "digital twin" OR "digital threads") Sustainability indicators and Industry 4.0 21 (science direct) 54 (scopus) 12 articles: (Joung et al, 2013;Chaim et al, 2018;Ndukwu et al, 2020;Enyoghasi and Badurdeen, 2021;Glatt et al, 2021;Gunduz et al, 2021;Kabzhassarova et al, 2021;Orošnjak et al, 2021;Riedelsheimer et al, 2021;Cetina-Quiñones et al, 2023;Contini et al, 2023;Longo et al, 2023;Ross et al, 2023) S4: ("smart product" OR "intelligent product" OR "smart design") AND ("sustainability" OR "sustainable indicators" OR "environmental impact") AND ("industry 4.0" OR "digitali...…”

Digital Twin-Enabled Modelling of a Multivariable Temperature Uniformity Control System

“…This technique has several applications, including oil and gas, water management, or social sciences [39][40][41]. In the case of the digital twin, there are some works where sensitivity analysis is used to analyze the performance of solar dryers [42], biogas facilities [43], or battery management, where statistical indices like the Pearson correlation is computed between the estimated and simulated performance indices of a battery [44].…”