Application of Circular Economy Techniques for Design and Development of Products through Collaborative Project-Based Learning for Industrial Engineer Teaching

González-Domínguez, Jaime; Sánchez-Barroso, Gonzalo; Polo, Francisco Zamora; García-Sanz-Calcedo, Justo

doi:10.3390/su12114368

Cited by 35 publications

(28 citation statements)

References 47 publications

(94 reference statements)

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“…In order to corroborate that these items can constitute independent constructs, Cronbach’s alpha coefficients were calculated for each of these constructs, and the following values were obtained: 0.765 (C1) and 0.862 (C2): both values higher than 0.7. Hence, these can be considered as independent constructs [ 7 , 9 , 39 , 48 ]. These results are of interest because the factors are grouped and therefore allow us to look for relationships with other variables and to establish strategies to influence these variables.…”

Section: Resultsmentioning

confidence: 99%

“…To achieve these goals, the participation of all actors is required, including governments, civil society, enterprises, and non-governmental organisations [ 4 , 5 , 6 ]. The 2030 Agenda must be understood in a joint way, since the SDGs are interconnected with each other [ 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

“…In previous work, we reflected on how the university can contribute towards the fulfilment of the Sustainable Development Goals through teaching [ 8 , 9 ] or research [ 17 ]. In this case, we want to reflect on how the university can contribute to sustainable development with campus operations.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Interurban Mobility in University Students: Motivation and Ecological Impact

Cruz-Rodríguez

Sendra

Heras

et al. 2020

IJERPH

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The management of mobility in large cities is a complex issue of great interest due to its economic, social, and environmental impact. In this work, the interurban mobility of engineering students from two campuses of the University of Seville is studied. Specifically, this work carries out an analysis of the preferences of students in terms of mobility to their study centres and determines the environmental impact of such mobility in terms of kg of CO2 per student. Three constructs can be found to describe the motivation for their choice of transport: those related to comfort and speed, those related to sustainability and price, and those related to safety. Based on the responses obtained, groups of students are established that enable the design of specific actions in accordance with each of the profiles. From the analysis of the results obtained, recommendations are made for policymakers, and a reflection is given on the impact of the COVID-19 pandemic on this issue.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of Interurban Mobility in University Students: Motivation and Ecological Impact

Cruz-Rodríguez

Sendra

Heras

et al. 2020

IJERPH

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“…In [9], the authors take a look at how the circular characteristics of the economy affect the future of industrial engineers. It is demonstrated that the industrial engineer of the future is one to master concepts of circular economy strategies.…”

Section: Industrial Engineering Trendsmentioning

confidence: 99%

Industrial Engineers of the Future – A Concept for a Profession that is Evolving

Chikasha¹,

Ramdass²,

Ndou³

et al. 2021

Adv. sci. technol. eng. syst. j.

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Just as industry is dynamic, constantly evolving according to the state of technology, economics, politics and so on, so must be, higher education. Studies have shown that higher education, for the past century, has constantly adapted to the dynamic skill and knowledge requirements of industry. This adaptation, however, is not always timeous and precise resulting in a widening gap between industry skill requirements and the skills that graduates receive during tertiary learning. This gap can be narrowed if higher education develops futuristic models that prepare students for not only the present day, but the future as well. Higher education in the fields of science, technology and engineering in particular, are in critical need of this future-prediction approach given the high levels of constant, and in some cases, even accelerating change or dynamics. This study develops a concept for industrial engineers of the future and demonstrates that is it possible to better prepare graduates for the uncertain future, by predicting some key skill requirements of industry ahead of time from information of yesterday and today.

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“…The SDGs are closely related to each other [5,49]. The achievement of one has consequences on others, this may be the case of education [49] which, apart from being related to SDG 4, is also related to others such as SDG 5 (Gender Equality) or SDG 12 (Sustainable Consumption and Production), etc. Something similar occurs with the construction and implementation of CS [48].…”

Section: Relationship Sdg-sustainabilitymentioning

confidence: 99%

Machine Learning Technologies for Sustainability in Smart Cities in the Post-COVID Era

2020

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The unprecedented urban growth of recent years requires improved urban planning and management to make urban spaces more inclusive, safe, resilient and sustainable. Additionally, humanity faces the COVID pandemic, which especially complicates the management of Smart Cities. A possible solution to address these two problems (environmental and health) in Smart Cities may be the use of Machine Learning techniques. One of the objectives of our work is to thoroughly analyze the link between the concepts of Smart Cities, Machine Learning techniques and their applicability. In this work, an exhaustive study of the relationship between Smart Cities and the applicability of Machine Learning (ML) techniques is carried out with the aim of optimizing sustainability. For this, the ML models, analyzed from the point of view of the models, techniques and applications, are studied. The areas and dimensions of sustainability addressed are analyzed, and the Sustainable Development Goals (SDGs) are discussed. The main objective is to propose a model (EARLY) that allows us to tackle these problems in the future. An inclusive perspective on applicability, sustainability scopes and dimensions, SDGs, tools, data types and Machine Learning techniques is provided. Finally, a case study applied to an Andalusian city is presented.

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Application of Circular Economy Techniques for Design and Development of Products through Collaborative Project-Based Learning for Industrial Engineer Teaching

Cited by 35 publications

References 47 publications

Analysis of Interurban Mobility in University Students: Motivation and Ecological Impact

Analysis of Interurban Mobility in University Students: Motivation and Ecological Impact

Industrial Engineers of the Future – A Concept for a Profession that is Evolving

Machine Learning Technologies for Sustainability in Smart Cities in the Post-COVID Era

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