The role of machine vision in industry 4.0: A textile manufacturing perspective

Author(s):  
Fotios K. Konstantinidis ◽  
Ioannis Kansizoglou ◽  
Konstantinos A. Tsintotas ◽  
Spyridon G. Mouroutsos ◽  
Antonios Gasteratos
2021 ◽  
Author(s):  
Fotios K. Konstantinidis ◽  
Spyridon G. Mouroutsos ◽  
Antonios Gasteratos

2020 ◽  
Vol 25 (3) ◽  
pp. 505-525 ◽  
Author(s):  
Seeram Ramakrishna ◽  
Alfred Ngowi ◽  
Henk De Jager ◽  
Bankole O. Awuzie

Growing consumerism and population worldwide raises concerns about society’s sustainability aspirations. This has led to calls for concerted efforts to shift from the linear economy to a circular economy (CE), which are gaining momentum globally. CE approaches lead to a zero-waste scenario of economic growth and sustainable development. These approaches are based on semi-scientific and empirical concepts with technologies enabling 3Rs (reduce, reuse, recycle) and 6Rs (reuse, recycle, redesign, remanufacture, reduce, recover). Studies estimate that the transition to a CE would save the world in excess of a trillion dollars annually while creating new jobs, business opportunities and economic growth. The emerging industrial revolution will enhance the symbiotic pursuit of new technologies and CE to transform extant production systems and business models for sustainability. This article examines the trends, availability and readiness of fourth industrial revolution (4IR or industry 4.0) technologies (for example, Internet of Things [IoT], artificial intelligence [AI] and nanotechnology) to support and promote CE transitions within the higher education institutional context. Furthermore, it elucidates the role of universities as living laboratories for experimenting the utility of industry 4.0 technologies in driving the shift towards CE futures. The article concludes that universities should play a pivotal role in engendering CE transitions.


2021 ◽  
Vol 11 (8) ◽  
pp. 3438
Author(s):  
Jorge Fernandes ◽  
João Reis ◽  
Nuno Melão ◽  
Leonor Teixeira ◽  
Marlene Amorim

This article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above.


2021 ◽  
Vol 1 ◽  
pp. 141-150
Author(s):  
Honorine Harlé ◽  
Pascal Le Masson ◽  
Benoit Weil

AbstractIn industry, there is at once a strong need for innovation and a need to preserve the existing system of production. Thus, although the literature insists on the necessity of the current change toward Industry 4.0, how to implement it remains problematic because the preservation of the factory is at stake. Moreover, the question of the evolution of the system depends on its innovative capability, but it is difficult to understand how a new rule can be designed and implemented in a factory. This tension between preservation and innovation is often explained in the literature as a process of creative destruction. Looking at the problem from another perspective, this article models the factory as a site of creative heritage, enabling creation within tradition, i.e., creating new rules while preserving the system of rules. Two case studies are presented to illustrate the model. The paper shows that design in the factory relies on the ability to validate solutions. To do so, the design process can explore and give new meaning to the existing rules. The role of innovation management is to choose the degree of revision of the rules and to make it possible.


2021 ◽  
Vol 1 ◽  
pp. 1755-1764
Author(s):  
Rongyan Zhou ◽  
Julie Stal-Le Cardinal

Abstract Industry 4.0 is a great opportunity and a tremendous challenge for every role of society. Our study combines complex network and qualitative methods to analyze the Industry 4.0 macroeconomic issues and global supply chain, which enriches the qualitative analysis and machine learning in macroscopic and strategic research. Unsupervised complex graph network models are used to explore how industry 4.0 reshapes the world. Based on the in-degree and out-degree of the weighted and unweighted edges of each node, combined with the grouping results based on unsupervised learning, our study shows that the cooperation groups of Industry 4.0 are different from the previous traditional alliances. Macroeconomics issues also are studied. Finally, strong cohesive groups and recommendations for businessmen and policymakers are proposed.


2021 ◽  
Vol 15 (1) ◽  
pp. 121-150
Author(s):  
Rocco Bellanova ◽  
Kristina Irion ◽  
Katja Lindskov Jacobsen ◽  
Francesco Ragazzi ◽  
Rune Saugmann ◽  
...  

Abstract Questions about how algorithms contribute to (in)security are under discussion across international political sociology. Building upon and adding to these debates, our collective discussion foregrounds questions about algorithmic violence. We argue that it is important to examine how algorithmic systems feed (into) specific forms of violence, and how they justify violent actions or redefine what forms of violence are deemed legitimate. Bringing together different disciplinary and conceptual vantage points, this collective discussion opens a conversation about algorithmic violence focusing both on its specific instances and on the challenges that arise in conceptualizing and studying it. Overall, the discussion converges on three areas of concern—the violence undergirding the creation and feeding of data infrastructures; the translation processes at play in the use of computer/machine vision across diverse security practices; and the institutional governing of algorithmic violence, especially its organization, limitation, and legitimation. Our two-fold aim is to show the potential of a cross-disciplinary conversation and to move toward an interactional research agenda. While our approaches diverge, they also enrich each other. Ultimately, we highlight the critical purchase of studying the role of algorithmic violence in the fabric of the international through a situated analysis of algorithmic systems as part of complex, and often messy, practices. Les questions concernant la manière dont les algorithmes affectent l’(in)sécurité deviennent de plus en plus courantes en sociologie politique internationale. Notre discussion collective s'appuie sur ces débats et les enrichit en abordant les questions portant sur la violence algorithmique. Nous soutenons qu'il est important d'analyser et de discuter de la manière dont les systèmes algorithmiques alimentent (et entretiennent) des formes spécifiques de violence, ainsi que de la façon dont ils justifient des actes violents ou redéfinissent les formes de violence jugées légitimes. Cette discussion collective réunit différents points de vue disciplinaires et conceptuels pour ouvrir un débat sur la violence algorithmique en se concentrant à la fois sur des exemples spécifiques et sur les défis à relever pour la conceptualiser et l’étudier. Cette discussion se concentre sur trois sujets de préoccupation : la violence qui sous-tend la création et l'alimentation des infrastructures de données, les processus de conversion en jeu dans l'utilisation de la vision informatique/machine à travers diverses pratiques de sécurité, et la gouvernance institutionnelle de la violence algorithmique, en particulier son organisation, sa limitation et sa légitimation. Notre double objectif est de montrer le potentiel d'une discussion interdisciplinaire et d'avancer vers un programme de recherche interactionnel. Bien que nos approches divergent, elles s'enrichissent mutuellement. Notre but est de mettre en évidence les possibilités analytiques ouvertes par l'étude de la violence algorithmique et de son role dans la fabrique des relations internationales, par le biais d'une étude des systèmes algorithmiques dans le cadre de pratiques complexes et désordonnées. Las preguntas acerca de cómo afectan los algoritmos a la (in)seguridad son cada vez más comunes en la Sociología Política Internacional. A fin de construir y sumar a estos debates, nuestro Debate Colectivo pone en primer plano las preguntas sobre la violencia algorítmica. Sostenemos que es importante abrir el debate acerca de cómo los sistemas algorítmicos alimentan (en) formas específicas de violencia, cómo justifican las acciones violentas o redefinen qué formas de violencia se consideran legítimas. A partir de la reunión de diferentes puntos de vista disciplinarios y conceptuales, este Debate Colectivo abre una conversación sobre la violencia algorítmica centrándose tanto en sus instancias específicas como en los desafíos de su conceptualización y estudio. En general, el debate converge en tres áreas de interés: la violencia que sustenta la creación y alimentación de las infraestructuras de datos, los procesos de traducción en juego en la utilización de la visión de la computadora/máquina a través de diversas prácticas de seguridad y el gobierno institucional de la violencia algorítmica, especialmente su organización, limitación y legitimación. Nuestro doble objetivo es mostrar el potencial de una conversación interdisciplinaria y avanzar hacia una agenda de investigación interactiva. Si bien nuestros abordajes divergen, se enriquecen mutuamente. Finalmente, destacamos la adquisición fundamental del estudio de las funciones de la violencia algorítmica en el tejido de lo internacional a través de un análisis situado de los sistemas algorítmicos como parte de prácticas complejas y, a menudo, desordenadas.


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