1,721,081 research outputs found

    Knowledge-based manufacturing: Management and deployment of manufacturing rules through product lifecycle management systems

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    In manufacturing companies, computer-aided design (CAD)/computer-aided manufacturing (CAM) feature-based approaches have been developed for faster numerical control (NC) programming. They allow to automatically generate toolpath, recognizing both standard and custom machining features, and defining for each of them the best or preferred machining process based on predefined rules. The definition of Feature Based Manufacturing (FBM) rules requires advanced competences and skills; furthermore, the standardization required by these instruments is too rigorous for real machining practices. It is therefore necessary to extend the Product Lifecycle Management (PLM) environment in order to be able to make explicit and manage manufacturing rules based on industrial best practice. The paper addresses these problems presenting a possible solution to optimize FBM information management and integration within the product lifecycle. A data model extension, covering new items such as “manufacturing rules” and “tool setting preferences”, and a new methodology for rules management and deployment are proposed

    Agriculture Digitalization: A Global Examination Based on Bibliometric Analysis

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    Several research studies discuss the process of agriculture digitalization proposing technologies able to face the current agri-food challenges. However, the extant bibliometric studies do not fully exploit the complementarity of different modern bibliometric tools, such as performance analysis and science mapping and do not consider the entire research field timespan. Therefore, the aim of this study is to complement and update the previous works and provide a broad quantitative and qualitative view of Agriculture 4.0 research by using synergistically performance analysis and science mapping. The analysis was realized on a sample of 2334 papers adopting statistical frequency analysis and VOSviewer. Performance analysis provided key findings about the following indicators: research subject areas, publications trend, most productive journals, document types, authors productivity, authors' and index keywords, most cited papers, most productive and influent institutions, country map collaboration, the documents by funding sponsor. Science mapping provided key findings about the main thematic research field’ clusters and their evolution overtime: technology application in agricultural industry, data model for analysis and prediction, experimentation and applicative studies of smart agriculture, decision support systems for crop monitoring. This study could benefit: food companies, supporting in technologies identification; governments, suggesting policies to stimulate agricultural digitalization process; academics, incentivizing more consciousness about the topic and research agenda; those who approach this topic for the first time, facilitating bibliographical referencing

    Food label design - exploring the literature

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    Purpose The purpose of this paper is to identify the main research fields concerning food label designs and build a topic overview. To this end, the literature review method was chosen. Design/methodology/approach A sample of 121 papers was identified and analyzed using bibliometric analysis. Journals, articles, authors of the sample and the term co-occurrence map, which represents the recurring themes and organizes them in clusters, were defined. To recognize the main research fields, starting from analyzing the terms that compose each cluster, the results were discussed in a focus group composed of five experts. Findings Food labelling theories are distinctly related to eight research fields: consumer behaviour analysis, consumer willingness evaluation, consumer product evaluation, nutrition and health, daily foodstuff and meal effects, food industry and related products, impacts on market and society and child nutrition. Research limitations/implications - Several stakeholders could be interested in the results of this paper. Food companies could identify the best practices in food labelling theories to improve their products and labels. Governments could understand how social policies are acknowledged by consumers and how to create new policies. Researchers could identify new issues to investigate. The results could also facilitate bibliographical referencing for those who approach this topic for the first time. Originality/value To the best of the authors' knowledge, studies on food label theories explore the themes from the consumer's perspective. The authors' study, in contrast, focused on recognizing the research fields where food label designs are addressed

    Food label design – exploring the literature

    No full text
    Purpose: The purpose of this paper is to identify the main research fields concerning food label designs and build a topic overview. To this end, the literature review method was chosen. Design/methodology/approach: A sample of 121 papers was identified and analyzed using bibliometric analysis. Journals, articles, authors of the sample and the term co-occurrence map, which represents the recurring themes and organizes them in clusters, were defined. To recognize the main research fields, starting from analyzing the terms that compose each cluster, the results were discussed in a focus group composed of five experts. Findings: Food labelling theories are distinctly related to eight research fields: consumer behaviour analysis, consumer willingness evaluation, consumer product evaluation, nutrition and health, daily foodstuff and meal effects, food industry and related products, impacts on market and society and child nutrition. Research limitations/implications: Several stakeholders could be interested in the results of this paper. Food companies could identify the best practices in food labelling theories to improve their products and labels. Governments could understand how social policies are acknowledged by consumers and how to create new policies. Researchers could identify new issues to investigate. The results could also facilitate bibliographical referencing for those who approach this topic for the first time. Originality/value: To the best of the authors’ knowledge, studies on food label theories explore the themes from the consumer’s perspective. The authors’ study, in contrast, focused on recognizing the research fields where food label designs are addressed

    A Perspective on the Interplay Between 5G and Quantum Computing for Secure Algorithm and Software Engineering

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    With the advancement of quantum computing technology, a pressing need arises to assess its potential implications on existing systems and infrastructures. In this paper, we delve into the interplay between quantum computing and 5G technology, with a specific focus on its profound impact on cryptography and the emergence of post-quantum techniques. We analyse the potential vulnerabilities quantum computers pose to conventional cryptographic algorithms employed in 5G networks. Our research investigates the challenges and opportunities that arise at the intersection of quantum computing and 5G, ultimately aiming to contribute to the development of secure and future-proof communication systems

    Digitalization of Construction Industry Process Management

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    In Construction Industry sector, an innovative approach called Building Information Modeling (BIM) is emerging as a new method to manage the whole building life cycle through a parametric informative virtual model. Compared to Product Lifecycle Management (PLM), a holistic approach widespread and consolidated in the manufacturing sector, the BIM use in maintenance phase represents a unexpressed potentiality. Against this background the paper presents a qualitative investigation into the current building heritage processes management in a French real estate company. To close the gap of traditional process, the case study proposes the digitalization of company operations in a Building Lifecycle Management (BLM) environment, resulting by the integration of the PLM and BIM approaches

    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
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