1,720,958 research outputs found
Application of Axiomatic Design-based Complexity Measure in Mass Customization
No full textAbstractA frequent question with regards to product variety in terms of mass customization concerns searching for the optimum level of variety. One way to do so is through quantification of product variety. This paper proposes another approach to measure so called variety induced complexity. This measure is based on Axiomatic design theory and is derived from degree of disorder. The most important finding of this study is that the proposed Axiomatic design-based indicator brings more realistic values than absolute number of available product configurations
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Entropy Based versus Combinatorial Product Configuration Complexity in Mass Customized Manufacturing
No full textAbstractIncreased product differentiation in the context of mass-customized production causes significant changes in complexity of manufacturing and assembly systems. There are several approaches to defining product variety induced complexity. Our focus in this paper is to describe procedure to calculate product configuration complexity based on the Boltzmann's entropy theory. Proposed approach is applied on a realistic example of mass customized manufacture of washing machines. Subsequently, we compare obtained measures with product configuration measures based on a combinatorial method. On the basis of the computational experiments, strong correlation between the two mentioned approaches has been observed. Finally, obtained findings are commented
Variations on the Author
Get PDF“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
Topological Complexity Measures of Supply Chain Networks
No full textAbstractIn this article, we firstly present an architectural framework for supply chain networks. Then, convergent supply chain models that are typical for assembly processes are divided into classes on the basis of the numbers of initial components. Subsequently, selected indicators for measuring topological complexity of assembly process are employed. The indicators used are benchmarked based on computational experiments. Finally, pertinent findings from this exploration are commented and some related future research directions are outlined
Using Axiomatic Design and Entropy to Measure Complexity in Mass Customization
No full textAbstractNowadays, complexity issues in mass customized manufacturing are considered as topical problem. Especially, product variety induced complexity is frequently discussed in recent research works. Our focus in this paper is based on an exploration of product variety induced complexity based on axiomatic design and entropy theories. For this purpose we propose to adopt previously developed complexity measures based on so called degree of disorder. Our approach consists of transformation of graphical representation describing relation between input components of assembly node and numbers of related product configurations into design matrix of coupled design. Subsequently, we apply the measures to enumerate product variety induced complexity. Finally, we analyze mutual relations between numbers of possible product configurations and obtained values of the complexity measures
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
Get PDFWe 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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