1,720,959 research outputs found

    Impact of Learning Factories over sustainable production

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    In recent years the macrotrend of sustainability has experienced an impressive rise in the scientifical debate aided by the correspondent uprising of the green economy macrotrend. Following the directions given by the environmental dimension of the Triple Bottom Line approach, companies are manufacturing goods considering additional factors such as their End of Life, the energy consumption needed for their production and the overall environmental footprint. For this reason, research laboratories and academia are nowadays asked to provide the knowledge needed to assess this impact. The so-far obtained results and the current state of the art are described in this work, thanks to a systematic literature investigation and a bibliometric analysis

    Open interfaces for connecting automated guided vehicles to a fleet management system

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    The recent digitalization of manufacturing companies, driven by "Industry 4.0" guidelines, introduces a series of challenges and opportunities both for enterprise and research environments. In this perspective, a debated subject is the interfacing of hardware, because logistic challenges and production assets are moving towards the adoption of Internet-of-Things-based Cyber-Physical Systems (CPS), whose flexibility allows to rethink control architectures that are traditionally based on ISA 95 and IEC 62264 formalized hierarchies. More versatile architectures also pave the way to the so-called horizontal integration. This work focuses on intra-logistics, aiming at defining a simple architecture enabling CPS assets' monitoring and control. This allows the development of an open platform that enables an easy and simultaneous connection of multi-vendor hardware, overcoming the current legacy systems' gap of requiring a significant effort to do so. The architecture is then substantiated by the development of a component interfacing Automated Guided Vehicles (AGV) and managing their navigation thanks to a Fleet Management System (FMS), which is back fed by the same AGVs

    Using the D-BEST Reference Model to Compare Italian and Polish Digital Innovation Hubs

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    In recent years, the increasing importance of Digital Innovation Hubs (DIHs) in supporting manufacturing Small and Medium Enterprises (SMEs) has been widely studied and several works listing lessons learnt and success stories have been published. To further foster the impact of these entities on the SMEs’ environment, The European Commission has recently introduced the Smart Specialisation Platform, which contains a web service returning to its users a geo-distributed list of DIHs, allowing the user also to cluster and visualise them according to some pre-defined filters, such as the types of technologies employed. The data provided by this platform has been downloaded and a secondary data analysis, based on the websites of the DIHs has been carried on to frame the single DIHs according to the axes of the D-BEST methodology. A comparative analysis with respect to the Italian and Poland situation completes the study, to understand eventual differences and affinities among the two countries

    Using the D-BEST Reference Model to Compare Italian and Polish Digital Innovation Hubs

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    In recent years, the increasing importance of Digital Innovation Hubs (DIHs) in supporting manufacturing Small and Medium Enterprises (SMEs) has been widely studied and several works listing lessons learnt and success stories have been published. To further foster the impact of these entities on the SMEs’ environment, The European Commission has recently introduced the Smart Specialisation Platform, which contains a web service returning to its users a geo-distributed list of DIHs, allowing the user also to cluster and visualise them according to some pre-defined filters, such as the types of technologies employed. The data provided by this platform has been downloaded and a secondary data analysis, based on the websites of the DIHs has been carried on to frame the single DIHs according to the axes of the D-BEST methodology. A comparative analysis with respect to the Italian and Poland situation completes the study, to understand eventual differences and affinities among the two countries

    Digital Innovation Hubs Proposing Digital Platforms to Lead the SMEs Digital Transition

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    DIHs could offer a marketplace and play the role of a broker facilitating cooperation and networking among important stakeholders, harmonizing companies with customers and providing European connections as well. In this framework, DIHs express an increasing need for having platforms bolstering users-producers transactions, fostering to detect what is needed, by grouping a large variety of services and goods together. This paper presents the main platforms grounded on the D-BEST reference model developed by different networks of DIHs. The main characteristics of each of them have been detected and the differences among them unveiled

    Data-driven state detection for an asset working at heterogenous regimens

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    The current trend of industrial digitalization paved the way to Machine Learning applications which are adding value to data coming from the assets. In this context, the case study of a State Detection in an asset characterized by heterogeneous working regimens is proposed, with the aim of automatically recognizing the type of the ongoing production and of identifying its different operating conditions. The activity is executed by exploiting the data available on the asset controller and applying and comparing two different clustering algorithms, namely K-Means and HDBSCAN. The paper describes hence the application case and the adopted approaches, while providing insights on the most preferable choice for any of the two objectives, in order to pave the ground for condition-based maintenance activities

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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