1,720,976 research outputs found
Mapping Uncertainty Sources Affecting Circularity: A Holonic Approach
Pursuing sustain ability, the traditional 'take- make-use-dispose' economy model is moving towards a circular approach by introducing the reverse flow for recovery of End- of-Life (EOL) or End-of-Use (EOU) products. This circularity of parts and information between industry and market has generated the Closed-Loop Supply Chain (CLSC). Circularity enhances reuse/recycle of parts and materials and products. However, it increases complexity in the supply as it inputs uncertainty sources regarding the returning and outgoing state of products, the required recovery processes, the expected consumer behavior and the unstable market trends. In this paper, an investigation of the uncertainties affecting CLSC and remanufacturing was selected. Authors aim at mapping, and reporting in connectivity, the sources of uncertainty affecting remanufacturing systems in order to identify the connections and causality relations between them. A holonic representation of the CLSC was elaborated for potential interdependencies assessment. Thus, a map of the uncertainties is then designed in the form of a labyrinth connecting the uncertainty drivers with the corresponding entities/holons: markEt, Consumer, Management, pRoduct and Process. The map is configured as a decision-support tool for application in remanufacturing context. The map allows to control the mutual effects between uncertainty sources in remanufacturing business environments
A Methodological Framework to Assess Mental Fatigue in Assembly Lines with a Collaborative Robot
In the current manufacturing assembly lines, collaboration between human and robot plays a significant role in the final output of the assembly, be it performance, quality or overall reliability. In that regard, smooth collaboration between human and robot is required to minimize the probabilities of human-system error, potential loss of performance and quality, and minimize the risk of decision making mistakes. Mental fatigue, and more importantly the cognitive load, of human operators is a crucial aspect in decision making, potential of error during the task and the overall flow of the assembly process. This paper reports about the development of a methodological framework to assess mental fatigue during a collaborative assembly task. In this framework, general complexity of the process and assembly task is investigated, as knowledge of the dynamic and static complexity can be helpful in reducing mental fatigue and cognitive load. We validated the applicability of the proposed frame in a real based collaborative assembly process
Selective Complexity Determination at Cost Based Alternatives to Re-manufacture
The rise in demand and price for raw materials is pushing manufacturing industries to look for new ways to secure parts and products for their production while keeping the expenses low. Remanufacturing as the manifestation of circular paths can contribute towards sustainability (in terms of extension of use and reduction of waste). This work proposes a decision-support system to select, through adaptability, product and parts for remanufacture. It makes use of complexity analysis and production capacity (i.e., demand) to quantify costs. The complexity level was related with (i) characteristics of components and (ii) disassembly transitions. The decision system is conceived to assess, through inspection, the potential of a product/part for re-manufacturability based on failure pattern and recoverable rate. The re-manufacturability is evaluated, on cost alternatives, as per regeneration using additive or subtractive manufacturing, reuse of components/parts, recovery of materials, disposal. The additive alternative was analyzed over complexity (suggesting alternatives while estimating costs vs. complexity) which increases interest in the applicability to recover complex forms of limited (unplanned) demand. To demonstrate the applicability, authors quantified costs involving the remanufacturing of gear pumps parametrizing parts on a complexity amount after a relative product recyclability selection. Results evaluate (dis)assembly and regeneration across main feature assessment
Going Beyond Counting First Authors in Author Co-citation Analysis
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
A cloud-aided remanufacturing framework to assess the relative complexity
Sustainability of production systems is currently the main priority factor for industrial systems. Factories are trying to apply circular economy models to mitigate their impact on the terrestrial ecosystem while respecting the major human centric perspective. They adopt technologies to support the design and manufacturing of reusable/remanufactured parts. These allow the effectiveness and efficiency (managing strategical paths and operational data) of complex remanufacturing systems, now commonly integrated within cloud management and control platforms. Here, uncertainty and unreliable factors can be managed across integrated rules/paths based on a main framework for closed loop arrangements. In this paper, we proposed a schematization constituted of holons for product adaptation on re-manufacturing context. We designed, as per state of art analysis, a cloud-aided remanufacturing frame for complexity measurement and product adaptation on reliable and sustainable blocks regarding consumption, reception, recovery and release. This framework is proposed for main usage in assembly/disassembly processes. It wants to map the main blocks (properly holons) and connections influencing complexity management for return products. Copyright (C) 2022 The Authors
Variations on the Author
“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
We 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
We 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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