IRIS - UNIRSM (Univ. degli Studi della Repubblica di San Marino)
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The digitalization of supply chain: A review
The emergence of new digital technologies as part of Industry 4.0 has enabled the supply chain to be managed more efficiently. We talk about digitalization of the supply chain and this trend refers to the evolution towards a smarter model that involves digital technologies such as Blockchain, IoT, Machine Learning, etc. These technologies actually increase and enhance the ability to optimize planning, sourcing and procurement strategies. Since this topic is of relevant interest for the scientific community, this paper aims to investigate the main discussion themes related to supply chain digitalization using a keyword-based organizing framework to identify, classify and investigate relevant intellectual contributions in this field. Results showed which are the main issues regarding supply chain digitalization as well as promising future research avenues
Multi-phase homogenization procedure for estimating the mechanical properties of shot-earth materials
The paper proposes an analytical homogenization procedure to predict the overall elastic properties of shot-earth, a sustainable composite material made of excavated soil, aggregates and, if needed, a binder for stabilization. A multi-step methodology based on the Mori–Tanaka approach is used to account for the stabilized soil inclusions. This approach is proposed in order to shorten the mix-design procedures and readily provide to the structural engineers a set of mechanical properties of the shot-earth components to be used in the early design phases, when the construction field is not open yet and excavation of the site has not begun. The analytical results were successfully validated through an experimental campaign
Batch Experiment: A Fruitful Way of Combining Hands-On Laboratory and E-Learning
In this study, the authors present the utilization of laboratory-based Learning at the University of Parma and its integration with DigiLab4U (Open Digital Laboratory for You). At the University of Parma, the course of AUTO-ID in production and logistics from the very beginning has exploited the lab-based learning to convey practical skills gained in RFID (Radio Frequency IDentification) Laboratory to the students through a hands-on laboratory. However, due to the COVID-19 pandemic and consequent measures taken by the Italian government, the very same method could not be used anymore during the spring semester of the year 2020. To solve the issue a batch experiment method has been adopted, where the parameters were set by students and the experiment was carried out by a researcher. During the experiments, the researchers gather raw data and send it back to the students. Having these data, the students were able to perform the data analysis. To give the students the possibility to better understand the environment of the laboratory, pictures, and videos of the experiment performance have been supplied too. To complete the batch experiment, a tutorial has also been provided with the details of the software set up and the components used. The total remotization of RFID Laboratory is scheduled for late 2021
Diseño y personalización de contextos educativos inclusivos. Estrategias y tecnologías didácticas
Un futuro sostenible y justo para la infancia y la juventud pasa por elcompromiso con una educación que acoge y respeta a todos y a todas en sustrayectorias escolares. La educación inclusiva, entendida como derecho, esreconocer la diversidad de identidades que nos conduce a la eliminación decualquier forma de exclusión. Desde esta perspectiva, incorporar el marco delDUA en educación, es un reto inaplazable. Un aporte estratégico a estaperspectiva de la inclusión proviene también de los avances científicos ytecnológicos: de los resultados en el estudio del sistema nervioso surge lanecesidad de abordar su plasticidad y las repercusiones que ello tiene en lasprácticas educativas inclusivas, y de las evidencias de que un empleocompetente de las tecnologías ofrece una oportunidad para promoverestrategias didácticas en beneficio de todos, sin excepciones.El artículo propone alimentar una reflexión multidimensional sobre el enfoquede educación inclusiva abordando tanto los principios y valores sociopolíticosy culturales, como las perspectivas de diseño pedagógico-curricular y de lasherramientas tecnológicas que hoy pueden representar recursos estratégicos
Mathematical Problems in Engineering
Mathematical Problems in Engineering is a peer-reviewed, Open Access journal that publishes results of rigorous engineering research carried out using mathematical tools. Contributions containing formulations or results related to applications are also encouraged. The primary aim of Mathematical Problems in Engineering is rapid publication and dissemination of important mathematical work which has relevance to engineering. All areas of engineering are within the scope of the journal. In particular, aerospace engineering, bioengineering, chemical engineering, computer engineering, electrical engineering, industrial engineering and manufacturing systems, and mechanical engineering are of interest. Mathematical work of interest includes, but is not limited to, ordinary and partial differential equations, stochastic processes, calculus of variations, and nonlinear analysis
UNIVERSITY-INDUSTRY COLLABORATION IN AN OPEN INNOVATION PERSPECTIVE: RESULTS FROM A BIBLIOMETRIC AND KEYWORDS ANALYSIS
A study on IoT application in the Food Industry using Keywords Analysis
The Internet of Things is an interconnected system of computing devices, both mechanical and digital, that uses sensors applied to machines, animals and people to create unprecedented amounts of important and detailed data about systems in order to improve them. From a supply chain management perspective, the Internet of Things can enable machines to undertake the decision making process with little or no human intervention through autonomous coordination between "things" as they are transported between different entities in the supply chain. In particular, the concept of the Internet of Things (IoT) enables visualization of supply chain operational processes, information gathering, and control of business development in real time. As far as the food industry is concerned, IoT helps to maintain safety standards, limit food waste, manage unpredictable variations, track and monitor the quality of foodstuffs. The solutions proposed by IoT are expected to not only influence the way food is produced, but also to assess social, environmental, and economic concerns. For this reason, IoT systems applied to the food industry are widely investigated in the extant literature. This article aims to identify and organize the main research topics regarding the development of IoT systems in the food sector, through a keyword analysis. The methodology adopted allows to identify the concepts that persist over time, those that emerge with high frequency and those that, instead, have disappeared over the years. The results allow us to make predictions about topics of future interest to researchers, outlining avenues for promising research