1,721,110 research outputs found
Quantitative models for printing production planning in a lean manufacturing approach under uncertainty
No full text[EN] Within the scope of production planning in a manufacturing-to-order
(MTO) industrial environment, the demand uncertainty faced by companies due
to intermittent customer order acceptance, among others, is notorious. The aim of
this paper is to present a comparative analysis of quantitative models for production
planning in a lean manufacturing (LM) approach in an MTO context under
uncertainty. It should be noted that we wish to focus approaches on the printing
industry.The research leading to these results received funding from the project "Industrial Production and Logistics Optimization in Industry 4.0" (i4OPT) (Ref. PROMETEO/2021/065) granted by the Valencian Regional Government; and from the grant PDC2022-133957-I00 (CADS4.0-II) funded by MCIN/AEI/https://doi.org/10.13039/501100011033 and by European Union Next Generation EU/PRTR.Rojas, T.;Mula, Josefa;Sanchis, R. (2024). Quantitative models for printing production planning in a lean manufacturing approach under uncertainty. Lecture Notes on Data Engineering and Communications Technologies (Online). 206:259-263. https://doi.org/10.1007/978-3-031-57996-7_45S25926320
An overview of shoring decisions for sustainable and resilient supply chains from a quantitative modelling perspective
Full text link[EN] This article presents an overview of quantitative models applied to
sustainable supply chains considering shoring decisions. Studies that incorporate
sustainability and resilience into supply chains are scarce. Therefore, a classification
of the re-viewed literature is presented based on the following criteria: shoring
decisions, shoring criteria, modelling approach, and sustainability aspects. Finally,
future research guidelines are proposed.This research received funding from the project "Industrial Production and Logistics Optimization in Industry 4.0" (i4OPT) (Ref. PROMETEO/2021/065) granted by the Valencian Regional Government; from the grant PDC2022-133957-I00 (CADS4.0-II) funded by MCIN/AEI/https://doi.org/10.13039/501100011033 and by European Union Next Generation EU/PRTR. It was also funded by the National Agency for Research and Development (ANID)/Scholarship Program/Doctorado Becas en el Extranjero/2020 - 72210174 and sponsored by the Universidad de Atacama as part of an academic improvement plan.Becerra, P.;Mula, Josefa;Sanchis, R. (2024). An overview of shoring decisions for sustainable and resilient supply chains from a quantitative modelling perspective. Lecture Notes on Data Engineering and Communications Technologies (Online). 206:397-402. https://doi.org/10.1007/978-3-031-57996-7_68S39740220
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Normalised data model for cloud collaborative manufacturing: applied to the footwear industry
Full text link[EN] Currently, collaborative SC planning driven by lean Industry 4.0 technologies is helping manufacturers to be more agile and efficient in their operations. This paper addresses the problem of information sharing among supply network partners in the footwear industry for the computational optimisation of SC planning. Themethodology calledC2NET is used for model input data through standardised tables (STables). The results show a simplified database relational diagram, which can be applied by different companies from this industrial sector, as well as researchers for their mathematical optimisation developments.The research that has led to the present results has received funding from: the European Union H2020 Programme, with grant agreement No. 958205 "Industrial Data Services for Quality Control in Smart Manufacturing (i4Q)"; the MCIN/AEI/10.13039/501100011033 and by European Union Next GenerationEU/PRTR with grant agreement PDC2022-133957-I00); the Regional Department of Innovation, Universities, Science and Digital Society of the Generalitat Valenciana, entitled "Industrial Production and Logistics Optimization in Industry 4.0" (i4OPT) (Ref. PROMETEO/2021/065); 'Resilient, Sustainable and People-Oriented Supply Chain 5.0 Optimization Using Hybrid Intelligence' (RESPECT) (Ref. CIGE/2021/159); a PhD grant from the Technical of Ambato University.Reyes-Vasquez, J.;Mula, Josefa;Díaz-Madroñero Boluda, Francisco Manuel;Andres, B. (2024). Normalised data model for cloud collaborative manufacturing: applied to the footwear industry. Lecture Notes on Data Engineering and Communications Technologies. 206:409-414. https://doi.org/10.1007/978-3-031-57996-7_70S40941420
Variations on the Author
Full text link“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
Full text linkWe 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
Full text linkWe 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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