1,720,959 research outputs found

    Industry 4.0 Enabling Technologies Supporting the Social Sphere of Circular Manufacturing

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    Circular Economy (CE) paradigm may contribute in enhancing the sustainability of the manufacturing sector, and in this context CE takes the name of Circular Manufacturing (CM). The extant literature highlighted the several benefits characterizing this paradigm, but most of the studies aimed at investigating especially those benefits enhancing the environmental and the economic performances of manufacturing companies. Instead, the social sphere has been usually neglected even though it represents one of the main aspects to be considered while moving towards sustainability and circularity. Indeed, CM can be embraced only though the engagement of consumers and the involvement of the whole company, which thus requires the active participation of both users and workers. The social benefits might be reinforced by the introduction of technologies, such as the Industry 4.0 (I4.0) ones, which might support both physically and cognitively the workers and the establishment of the relationships with consumers. Hence, the aim of this contribution is to investigate how I4.0 technologies enable the enhancement of the social benefits obtainable by manufacturing companies while adopting CM. This analysis has been performed through the review of the extant literature which has been conducted relying on both Scopus and Web of Science as scientific databases. 42 selected contributions have been analyzed to identify the specific I4.0 technologies required to enhance the social benefits obtainable from the adoption of CM. From a managerial perspective, this contribution enables to define the key technologies adoptable to enhance the social benefits obtainable from the adoption of CM and to clarify what these benefits are. From a scientific perspective, this contribution enables to cover the envisioned gap about the need to further explore the social benefits obtainable from CM adoption

    Using wastes as driver to integrate digital and engineering practices maturity in the product development process: an application case

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    The increasing competition in manufacturing industry has pushed many SMEs to adapt their processes in order to embrace Industry 4.0 and Lean Management practices. The paper aims at presenting an integrated implementation of four analytical and diagnostic methods to facilitate a supported digital transformation by taking into account both the review of processes in a more effective and efficient way and the reduction of manufacturer’s wastes. The research has been developed by applying the DREAMY, CLIMB and MyWaste suite to an Italia manufacturing SME specialized in the design and production of highly customized machineries for the processing and packaging of tubes. The analysis encompassed three main steps: an assessment of digital maturity and of the product development process, an analysis of the main wastes and a mapping of the overall process from the RfQ to the production of the good. The main criticalities were related to the lack of formal procedures and coordination protocols, a misuse of digital tool for budgeting, project management (PM) and designs storage and a related increase of the time devoted to non-adding-value activities

    Using wastes as driver to integrate digital and engineering practices maturity in the product development process: an application case

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    The increasing competition in manufacturing industry has pushed many SMEs to adapt their processes in order to embrace Industry 4.0 and Lean Management practices. The paper aims at presenting an integrated implementation of four analytical and diagnostic methods to facilitate a supported digital transformation by taking into account both the review of processes in a more effective and efficient way and the reduction of manufacturer’s wastes. The research has been developed by applying the DREAMY, CLIMB and MyWaste suite to an Italia manufacturing SME specialized in the design and production of highly customized machineries for the processing and packaging of tubes. The analysis encompassed three main steps: an assessment of digital maturity and of the product development process, an analysis of the main wastes and a mapping of the overall process from the RfQ to the production of the good. The main criticalities were related to the lack of formal procedures and coordination protocols, a misuse of digital tool for budgeting, project management (PM) and designs storage and a related increase of the time devoted to non-adding-value activities

    Development and implementation of a roadmapping methodology to foster twin transition at manufacturing plant level

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    Climate change and resource depletion are reshaping economies, compelling governments, society, and businesses to seek solutions that could meet both economic and environmental needs. Due to their relevance to environmental damage, manufacturers are pushed to achieve a sustainable transition in a relatively short time. In this scenario, Industry 4.0 reportedly act as a facilitator of the processes thus leading to the concept of Twin Transition (TT) or digitally-enabled sustainable transition. However, even if literature is aware of the role that I4.0 plays in enhancing sustainability, companies still face a multitude of barriers that hinder the actual implementation of such transition. This paper aims at proposing a new roadmapping methodology to guide manufacturing companies toward TT and link the strategic goals to operations activities. The methodology originates from both an analysis of the barriers faced by manufacturers found in literature and the empirical observations of the authors throughout their research with manufacturing firms. The methodology was implemented in an application case involving 3 independent plants of a multinational company operating in the Food & Beverage sector. The analysis of barriers was performed via a systematic literature review that allowed to identify 39 barriers clustered as Micro (single firm), Meso (network) and Macro (ecosystem). The results show that the methodology applies to single manufacturing plants, and it addresses challenges at micro and meso levels

    A quantitative framework for Industry 4.0 enabled Circular Economy

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    Sustainability and digital transformation represent two of the main trends of the last decade. More in detail, Industry 4.0 (I4.0) and Circular Economy (CE) are two key concepts that are characterizing the present and that will shape the future. From the extant literature review emerges that, although academics identify a possible synergy between these topics, a concrete integrated framework able to achieve CE at systemic level is still missing. The objective of this research is to put in relation the I4.0 and CE paradigms to understand the link between the two topics and envisage a new framework focused on circularity among supply chains. Therefore, a systematic literature review on CE, I4.0 and on their mutual relationship have been conducted to investigate which are the synergies and how the new I4.0 technologies support the implementation of CE at supply chains network level. Hence, a framework in which I4.0 technologies support the adoption of Reduce, Redesign, Recycling and Remanufacturing strategies has been developed. Indeed, starting from the 6Rs' model (Reduce, Reuse, Recycle, Recover, Redesign, Remanufacture), the focus has been shifted towards these 4Rs since they have been considered the most affected by I4.0. Regarding the use of I4.0 technologies, Cloud Manufacturing (MaaS) and Additive Manufacturing have been deemed the most enabling technologies. Indeed, they allow to respectively aggregate resources and reduce wastes. The framework is supported by a quantitative analysis of economic and environmental impacts that results in the definition of a Multi-Objective Integer Linear Programming (MOILP). The framework works in closing the loop by acting as strategic node able to link different supply chains. It has been developed focusing on discrete manufacturing and replicable in different sectors. Finally, the model identified has been supported by some pilot assessments through semi-structured interviews

    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

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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