1,720,958 research outputs found
Risk Management in Construction
No full textThis book presents recent research on risk management in the construction industry. It consists of eight chapters, each of which contains valuable information on specified areas of risk management engineering. Topics addressed include identifying, analyzing, assessing, controlling, and monitoring risk for planning and construction stages; risk management methods used in the construction industry and case studies; risk management for buildings, dams, highways, railways, nuclear power plants, underground structures, energy facilities, and their appurtenant structures. This book provides a comprehensive overview of the latest information in risk management in the construction industry
Risk Management in Construction: Recent Advances
Get PDF158 p.This book presents recent research on risk management in the construction industry. It consists of eight chapters, each of which contains valuable information on specified areas of risk management engineering. Topics addressed include identifying, analyzing, assessing, controlling, and monitoring risk for planning and construction stages; risk management methods used in the construction industry and case studies; risk management for buildings, dams, highways, railways, nuclear power plants, underground structures, energy facilities, and their appurtenant structures. This book provides a comprehensive overview of the latest information in risk management in the construction industry
A MATHEMATICAL PROGRAMMING MODEL FOR USING DYNAMICALLY-POSITIONED-REWORK STATIONS FOR PERFORMING PARALLEL TASKS IN ASSEMBLY LINE BALANCING
No full textIn this study, a mathematical programming model for using dynamically-positioned-rework stations for performing parallel tasks in assembly line balancing is proposed. We first introduce a nonlinear programming model, which is quadratic in constraints resulting from the modeling of the parallel task assignment and dynamic positioning of the rework station. We also establish some novel logical conditions in the model building process while deriving the proposed formulation. In the next step, we present appropriate variable transformations for linearization to take advantage of the algorithms for solving linear programs by noting that the quadratic expressions of the model are present as either the multiplications of binaries or binaries multiplied by continuous variables. After implementing the corresponding variable transformations, the model is transformed to a linear-mixed-integer program. A numerical example is then presented using the resulted linear model for illustration. We also perform some computational experiments using sample problems from the related literature to analyze the performance of the model
Analyzing the effects of different problem settings on the satisfaction levels of students and supervisors in the student-supervisor allocation problem
No full textAppropriate student-supervisor allocations are critical for the effective management of graduate studies as well as the overall success of graduate programs. In this study, as shown in Figure A, three different problem settings are considered for the student-supervisor allocation (SSA) problem where, in addition to taking into account student and supervisor preferences, (i) supervisor capacities are not considered, (ii) individual supervisor demands are considered in terms of their capacities and (iii) average supervisor workload is considered in terms of their capacities. Mathematical programming models and a heuristic algorithm are proposed for the solution of each problem setting. In order to test the validity of the proposed approach, two different datasets, a small- and a large-scale one, are generated. Using these datasets, the proposed mathematical programs and the heuristic algorithm are solved for different weighting strategies of students' and supervisors' preferences. The results of the mathematical programming models and the heuristic algorithm are compared. The SSA results for different problem settings and allocation strategies are analyzed according to performance measures defined in terms of the satisfaction levels of students and supervisors
Solving the unrelated parallel batch machine scheduling problem with mixed-integer programming
No full textIn this study, the problem of scheduling jobs with arbitrary sizes and non-zero release times on a set of unrelated parallel batch processing machines with different capacities is discussed. Three mixed-integer programming models with different objective functions are developed to solve the problem. Corresponding models aim at minimizing (i) the total flow time, (ii) the makespan and (iii) the total tardiness, respectively, which are considered to be among the most important objectives in scheduling problems. In order to test the validity and applicability of the proposed solution approach, different datasets are generated using some rules in the literature. The results obtained by solving the mathematical programming models with these data sets are analyzed in terms of some performance parameters
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
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
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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