Education + Industry 4.0: Developing a Web Platform for the Management and Inference of Information Based on Machine Learning for a Hydrogen Production Biorefinery

Rodríguez, Luis Antonio Pahíno; Vadillo, Christian J.; Gomez, Jorge Raul; Torres, Ixbalank

doi:10.1007/978-3-030-28374-2_52

Cited by 5 publications

(5 citation statements)

References 21 publications

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“…For agro-industrial wastewater, another study evaluated the hydrogen production from the volatile fatty acids generated after the anaerobic acid phase in a biorefinery platform. With the proposed structure, the experiments showed that it is effectively possible to manage 10 years of data (Rodríguez et al 2019).…”

Section: Processes Of the Biochemical Biorefinerymentioning

confidence: 99%

Integrating the new age of bioeconomy and Industry 4.0 into biorefinery process design

Clauser

Felissia

Área

et al. 2022

BioRes

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Manufacturing processes and their economy are dramatically evolving due to machinery and digital control improvements. Artificial intelligence, big data analytics, and the Internet of Things are key tools for this new industrial revolution era based on Industry 4.0. Bioeconomy and circular economy concepts have appeared in the forest, agriculture, food, pharmaceutical, pulp and paper, chemical, biotechnological, and energy areas, etc., to achieve sustainable economic growth development via biomass valorization in a biorefinery platform. Biorefinery process development at an industrial scale requires the previous design and assessment of processes and technologies. Therefore, economic, environmental, and social factors should be evaluated to prevent the failure in one of these issues that could affect the performance of the others. With a growing interest in sustainable economic development, there is a need to incorporate new technologies early enough in the process design. This study aims to better understand how Industry 4.0 era tools can bring new solutions to the biorefinery process design, in terms of the technical, economic, environmental, and social factors. Thus, these tools could improve and revolutionize the process selection optimization, provide alternatives for biomass valorization, integration strategies, and the metrics selection for process evaluation, adding the approach toward sustainable economic development.

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Section: Processes Of the Biochemical Biorefinerymentioning

confidence: 99%

Integrating the new age of bioeconomy and Industry 4.0 into biorefinery process design

Clauser

Felissia

Área

et al. 2022

BioRes

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“…Technologies such as virtual reality (Barker and Gossman, 2013;Liagkou et al, 2019), intelligent robotics (Lanz et al, 2019;Sung et al, 2013;Verner et al, 2020), open-source tools (Dasgupta, 2020;Tosello et al, 2019), simulation games (Ab Rahman et al, 2019;Almeida and Simoes, 2019;Paravizo et al, 2018;Zarte and Pechmann, 2017), mobility (Huamani et al, 2019;Jaschke, 2014;Popov et al, 2019;Wilke and Magenheim, 2017), and digital technology (Grishina et al, 2019;Lambrechts and Sinha, 2018;Svoboda, 2020;Tirto et al, 2020) could enhance learning outcome. Some articles (Almeida and Simoes, 2019;Ciolacu, Svasta, et al, 2017;Golob and Bratina, 2019;Janssen et al, 2016;Miranda et al, 2019;Mourtzis et al, 2018;Prieto et al, 2019;Ramirez-Mendoza et al, 2018;Rodríguez et al, 2019) discuss the concept and technologies of industry 4.0 and education 4.0. This shows that there is a clear relationship between these two concepts.…”

Section: Research Gapsmentioning

confidence: 99%

Education 4.0, Industry 4.0, Lifelong Learning: A Descriptive Literature Review

Sofiadin¹

2022

IJRP

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A new transformation of industry known as Industry 4.0 has drawn much attention among researchers and entrepreneurs. From a higher education perspective, Industry 4.0 has grown concerned about how institutions can produce graduates that are compatible with Industry 4.0. Due to the high business operation migrated to the online platforms, there is a need for graduates that have Information Technology (IT) skills, thinking skills, critical skills, and communication skills. A lack of necessary skills and knowledge of the Fourth Industrial Revolution (4IR) will lead to high unemployment among graduates. This paper aims to assess the relationship between Education 4.0 and Industry 4.0. Also, how e-learning plays a role while promoting lifelong learning. Thus, this leads to the development of the Education-Industry 4.0 Framework. A descriptive literature review on Education 4.0 and Industry 4.0 intends to identify and improve the millennial skills and knowledge. The descriptive literature identified four elements of Education 4.0, six crucial skills of millennial graduates, and seven technologies of Industry 4.0. The interrelationship between Education 4.0, millennial graduates, and Industry 4.0 was identified. Furthermore, this paper identified e-learning as a component of closing the gap between Education 4.0 and Industry 4.0. Even though there has been a lot of research on Education 4.0 and Industry 4.0, this paper aims to provide descriptive literature that provides a guideline on how Education 4.0 can produce graduates that meet the industry 4.0 requirements through e-learning to promote sustainable education.

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“…The observational techniques were generally notable for detailing and describing educational interventions gathered by the researcher, with proposals focused on the areas of design [69] and ecodesign [25], chemistry [70] and Science, Technology, Engineering and Mathematics (STEM) areas [1], and in web environments integrated with machine learning to publicise biorefineries [71]. There was also research which applied observational techniques to create theoretical frameworks for future production systems in engineering [72], design and European firms [73] and in CE in education [74].…”

Section: So1 Describe the Predominant Information Collection Techniques Rq11 Is There A Dominant Information Collection Technique?mentioning

confidence: 99%

“…Additionally, numerical primary data was collected from conversations with policy makers of companies [85] and experts from the educational field [80]. In the same way, data was collected through observation on a web platform based on machine learning for industrial management [71]. Finally, experiments were collected on systems of biogas [24] and sustainable chemicals and fuels [103].…”

Section: Rq16 Is There a Relationship Between The Type Of Information Collection Technique And The Source Of Data Obtained?mentioning

confidence: 99%

“…Comparative studies were essentially found in social and legal sciences and in engineering and architecture for the adaptation of business models based on CE [67] and explained the intention of using bioenergy by students [19]. Descriptive research, found in engineering and architecture, worked on the efficient and responsible management of waste [76] and the use of web systems to execute processes in biorefineries [71]. Participative research was focused on the responsible management of universities from engineering and architecture [24].…”

Section: Rq22 Is There a Relationship Between The Nature Of Data And The Research Type And Objective?mentioning

confidence: 99%

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A Methodological Assessment Based on a Systematic Review of Circular Economy and Bioenergy Addressed by Education and Communication

2021

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The circular economy and bioenergy are essential strategies for combatting climate change. In the last 10 years, there has been an increase in research on this subject by different disciplines. Educational and communication approaches may prompt a change to make citizens agents of change in the environmental struggle. Therefore, evaluating their level of methodological formalisation allows the identification of characteristics of the research carried out, and to ascertain where academic studies in these disciplines are aimed. Through a systematic literature review (SLR) applying the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) model, literature from 2009 to 2019 was identified on the Web of Science, Scopus and Google Scholar, using Publish or Perish software to obtain it. A qualitative and quantitative synthesis of the results was carried out, using cluster analysis and statistic percentages, and comparing column proportions. The analysis of the articles (n = 74) focused on collection techniques, data typology, characteristics of samples and analysis techniques, and showed that the majority were descriptive, oriented toward presenting proposals on educational intervention, with small samples and basic analytical techniques. Despite consistency in the corpus of the research, it is concluded that the studies had a low level of methodological formalisation, which indicates it they were generally related to exploratory research with limited scope, addressing a limited part of the object of study.

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Education + Industry 4.0: Developing a Web Platform for the Management and Inference of Information Based on Machine Learning for a Hydrogen Production Biorefinery

Cited by 5 publications

References 21 publications

Integrating the new age of bioeconomy and Industry 4.0 into biorefinery process design

Integrating the new age of bioeconomy and Industry 4.0 into biorefinery process design

Education 4.0, Industry 4.0, Lifelong Learning: A Descriptive Literature Review

A Methodological Assessment Based on a Systematic Review of Circular Economy and Bioenergy Addressed by Education and Communication

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