1,720,953 research outputs found
Deep learning approach for demand management in supply chain
No full textLAUREA MAGISTRALEIl concetto di inventario è centrale nell'economia di molte aziende operanti nel settore del commercio al dettaglio. Assieme al perfezionamento delle strategie di marketing e vendita, che hanno subito notevoli evoluzioni con lo sviluppo dell'e-commerce e della comunicazione social, è infatti fondamentale la gestione delle risorse di magazzino all'interno della catena logistica.
Una delle sfide principali in tale settore è rappresentata dal concetto di backorder, come delicato problema di bilanciamento tra soddisfazione del cliente e gestione delle operazioni interne e dei costi. Cause e conseguenze di tale problematica si ripercuotono rapidamente sulla totalità della catena logistica, pertanto la gestione ottimizzata del magazzino è sempre stata al centro dello studio di materie come la Ricerca Operativa.
Una componente cruciale in quest'ottica è rappresentata dalla domanda, il cui comportamento è spesso regolato da logiche complicate e difficilmente prevedibili. Con l'avvento di sempre più affinate tecniche di processamento ed elaborazione di grandi dati, rese possibili dai recenti sviluppi nei campi dell'apprendimento automatico e della scienza dei dati, anche la previsione della domanda come serie temporale ha beneficiato di interessanti studi ed applicazioni. Accanto alle più tradizionali tecniche di predizione di serie temporali, basate su metodi statistici e sull'apprendimento lineare, alcuni approcci più moderni stanno dimostrando le potenzialità di dipendenze non lineari, seppur ancora in via di sviluppo.
In questa tesi affronteremo la problematica del backorder attraverso la predizione della domanda in uno scenario di contesto con molteplici prodotti, mediante l'applicazione di un particolare approccio basato sul Deep Learning.The concept of inventory is central in the economy of many enterprises in the retail business. Along with the development of marketing and selling strategies, brought by the growth of the e-commerce and social media communication, it becomes, in fact, essential to properly manage stocks throughout the supply chain.
One of the main challenges in this area is represented by the notion of backorder, as a delicate trade-off between customer satisfaction and management of internal operations and costs. As causes and effects of such issue have an immediate impact on the entirety of a supply chain, Inventory Management has always been the main focus of subjects as Operation Research.
One crucial component in this context is represented by the demand, whose behaviour is often influenced by complex laws that are hard to predict. With the advent of ever more accurate techniques for processing and elaborating big data, made possible by the recent developments in Machine Learning and Data Science, also demand management has benefited from interesting studies and applications. Alongside the traditional forecasting techniques based on statistical methods and linear models, other more novel ones are demonstrating the potential of non-linear dependencies, even if they are still developing.
In the course of this thesis we shall address the backorder issue through a demand prediction in a multi-item use case, by means of the application of a particular Deep Learning-based approach
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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