Industria 4.0 es un término empleado para hacer referencia a tecnologías modernas que inciden significativamente en el funcionamiento de la industria, tiene una gran repercusión en la logística al ...transformar la forma de gestionar y operar los procesos con métodos de trabajo más optimizados. Por ello, el artículo tiene como objetivo realizar un acercamiento teórico a las tecnologías de la industria 4.0 con aplicación en la logística. Se emplea una metodología de enfoque histórico-lógico con el modelo Kitchenham apoyada en la herramienta Rayyan. Los resultados ponen de manifiesto diversas tecnologías que son posibles de aplicar en los procesos logístico (recepción, almacenaje, despacho y distribución), para lo cual resulta clave estudiar a fondo la condición y las necesidades de la empresa.
Industry 4.0 considers complex interrelated IoT-based technologies for the provision of digital solutions. Such a complexity demands a vast set of capabilities that are hard to be found in a single ...technology provider, especially for small and medium-sized enterprises (SMEs). Innovation ecosystems allow SMEs to integrate resources and cocreate Industry 4.0 solutions. We aim to understand how such ecosystems can consolidate and evolve, and how value is cocreated within them. We adopt a social exchange perspective to consider the relationships in the ecosystem across six structural dimensions and three lifecycle stages. We analyze eleven years of an ecosystem's evolution using a technology mapping of 87 companies, 37 interviews with stakeholders, and a 2.5-year follow-up of a testbed project conducted by 8 companies. Our final framework shows that the ecosystem's mission shifted from accessing innovation funds to Industry 4.0 solution cocreation and, then, to smart business solutions cocreation. As trust and commitment grew, the power structure shifted from the centrality of business association toward a mechanism of neutral coordination of complex projects involving the university and business associations and, lastly, to a platform-driven ecosystem structure, where key technologies emerged as drivers of relationships among the companies and value cocreation. We also show the changes of reciprocity between actors, as well as in value exchange and expected rewards from the social exchange. Managers can learn how to establish technology development strategies in Industry 4.0 ecosystems, while policymakers can learn how to organize the evolution of such ecosystems.
Display omitted
•We consider Industry 4.0 as a complex system of interrelated technologies.•Innovation ecosystems are an alternative to supply chain in the Industry 4.0 context.•Technology providers can cocreate value by integrating resources in the ecosystem.•We use the social exchange theory and ecosystem's structure as theoretical lenses.•The framework shows actors' role as the ecosystem evolves through 3 lifecycle stages.
•A deep literature review on DT applications in manufacturing is performed.•Rarely a DT environment offers a large set of services to the real system.•Almost never a DT share the elaborated analysis ...to the real counterpart.•A DT application is proposed in a Simulink environment to overcome these gaps.•The illustrated DT poses the basis for further improvements.
In the Industry 4.0 era, the Digital Twin (DT), virtual copies of the system that are able to interact with the physical counterparts in a bi-directional way, seem to be promising enablers to replicate production systems in real time and analyse them. A DT should be capable to guarantee well-defined services to support various activities such as monitoring, maintenance, management, optimization and safety. Through an analysis of the current picture of manufacturing and a literature review about the already existing DT environment, this paper identifies what is still missing in the implemented DT to be compliant to their description in literature. Particular focuses of this paper are the degree of integration of the proposed DT with the control of the physical system, in particular with the Manufacturing Execution Systems (MES) when the production system is based on the Automation Pyramid, and the services offered from these environments, comparing them to the reference ones.
This paper proposes also a practical implementation of a DT in a MES equipped assembly laboratory line of the School of Management of the Politecnico di Milano. The application has been created to pose the basis to overcome the missing implementation aspects found in literature. In such a way, the developed DT paves the way for future research to close the loop between the MES and the DT taking into consideration the number of services that a DT could offer in a single environment.
In recent years, due to technological advancements, the concept of Industry 4.0 (I4.0) is gaining popularity, while presenting several technical challenges being tackled by both the industrial and ...academic research communities. Semantic Web including Knowledge Graphs is a promising technology that can play a significant role in realizing I4.0 implementations. This paper surveys the use of the Semantic Web and Knowledge Graphs for I4.0 from different perspectives such as managing information related to equipment maintenance, resource optimization, and the provision of on-time and on-demand production and services. Moreover, to solve the challenges of limited depth and expressiveness in the current ontologies, we have proposed an enhanced reference generalized ontological model (RGOM) based on Reference Architecture Model for I4.0 (RAMI 4.0). RGOM can facilitate a range of I4.0 concepts including improved asset monitoring, production enhancement, reconfiguration of resources, process optimizations, product orders and deliveries, and the life cycle of products. Our proposed RGOM can be used to generate a knowledge graph capable of providing answers in response to any real-time query.
The interest towards Industry 4.0 is growing since its introduction. The available literature highlights the impacts of Industry 4.0 on the whole supply chain and stress that companies must rethink ...the way they manage their supply chain. Even if the benefits of Industry 4.0 are generally recognized, the latest pandemic Covid-19 has caused disturbances in supply chains. The objective of this paper is to investigate the topic of Industry 4.0 in the pandemic context, highlighting, by means of a case study, its benefits on the supply chain notwithstanding the pandemic. The paper also provides suggestions for future research related to the fields.
Much has been said about the fourth industrial revolution (4IR) or Industry 4.0 since its launch in 2011. In addition, certain skills have been touted as specifically 4IR or Industry 4.0 skills. ...Amidst all this, not much work has been done that focuses on and identifies what those skills are from a cross-disciplinary perspective. The current scoping review study set out to identify skills, competencies and literacies attributed to 4IR/Industry 4.0 by 64 peer-reviewed journal articles drawn from diverse subject disciplines. Three of its findings are worth mentioning. First, skills and competencies attributed to 4IR by the reviewed journal articles are generic soft skills often dubbed the 21st-century skills such as communication, creativity and problem solving. Second, of the hard skills, programming skills feature predominantly as the 4IR skills from the reviewed articles. Thirdly, information literacy is under-represented and under-cited as a skill for 4IR in the reviewed articles.
Industry 4.0 leads to the digitalization era. Everything is digital; business models, environments, production systems, machines, operators, products and services. It’s all interconnected inside the ...digital scene with the corresponding virtual representation. The physical flows will be mapped on digital platforms in a continuous manner. On a higher level of automation, many systems and software are enabling factory communications with the latest trends of information and communication technologies leading to the state-of-the-art factory, not only inside but also outside factory, achieving all elements of the value chain on a real-time engagement. Everything is smart. This disruptive impact on manufacturing companies will allow the smart manufacturing ecosystem paradigm. Industry 4.0 is the turning point to the end of the conventional centralized applications. The Industry 4.0 environment is scanned on this paper, describing the so-called enabling technologies and systems over the manufacturing environment.
Quality of education 4.0 is aimed at producing competent and quality human resources in carrying out activities in the industrial world later ( Pohan , 2019). In the current implementation of ...education in capturing information on the resulting human resources, it is required to obtain information on a very broad scale and human resources are also required to be able to understand various matters, one of which is understanding related to English. In this study, the researcher used a qualitative descriptive method to describe the HOTS concept which would be implemented in English learning activities at SDN 1 Timpag . Qualitative research generally describes the dominant data using words rather than describing phenomena through a numeric number. Based on the results of the research that has been done, some conclusions that can be drawn in this study are that the HOTS indicator learning method is developed in its entirety, there are 6 indicators including Creating, Evaluating, Analyzing, Applying, Remembering and Understanding . At SDN 1 Timpag as a whole there are several implementation indicator ideas that can be improved in the implementation of HOTS in English materials including story telling planning, introduction to animal objects and body anatomy and simple greetings and the use of grammar.
The implementation of Industry 4.0 technologies has improved the flexibility of the entire manufacturing system. These technologies are the Internet of Things (IoT), big data, Artificial Intelligence ...(AI), Additive Manufacturing (AM), advanced robotics, virtual reality, cloud computing, simulation, and among others, have arisen to improve the flexibility in the entire manufacturing system. Industry 4.0 is becoming recognised as a unique industrial paradigm. It is predicated on the widespread adoption of communication and information technology, which would lead to improved organisational performance and flexibility. The incorporation of Industry 4.0 is the true game-changer in terms of flexibility and customisation. Manufacturers may utilise this technology to build digital twins of items used by consumers in the real world. The digital twin gets real-time information from sensors on the actual objects. Manufacturers benefit from digital twin and simulation technology, including predictive maintenance and making errors easier and faster to rectify. This paper discusses Industry 4.0 and its Flexible Manufacturing System (FMS) capability. Different dimensions and technologies of Industry 4.0 Practices for improving FMS performance are studied,d and then discusses several flexible approaches using Industry 4.0 technologies are. One of the most significant benefits of adopting virtual infrastructure maintained by a service provider is improved flexibility. Cloud services allow auto-scaling, which means that the underlying computer resources automatically adjust to changing utilisation rates. Industry 4.0 increases production flexibility, allowing a facility to respond to market changes quickly. A plant control system automatically varies output depending on shifting utility rates, lowering production costs. Industry 4.0 offers some incredible benefits and has gone a long way in the last several years.
O advento da Indústria 4.0 modifica dirtamente o âmbito industrial, fazendo com que os limites entre tecnologias, seres humanos, mundo digital e físico seja cada vez menor. Nesse contexto, é ...importante que pessoas e máquinas passem a trabalhar de maneira conjunta e colaborativa. Tais modificações interferem na dinâmica das empresas e do mercado de trabalho, aumentando, cada vez mais, a procura por profissionais multifuncionais que apresentem variado portifólio de competências técnicas e sócio emocioniais. Atendendo à essas mudanças, se espera que as universidades auxiliem os alunos no desenvolvimento do que é esperado pelo mercado. Porém, existe uma incompatibilidade entre o exigido atualmente pelas empresas e o que é oferecido nas instituições de ensino. Diante dessa situação, surge um questionamento: Como a nova dinâmica do mercado de trabalho interfere no processo de ensino-aprendizagem de engenheiros? Esse artigo visa responder tal questionamento, analisando as competências necessárias para engenheiros e como desenvolvê-las pelo uso de Metodologias Ativas de Aprendizagem, tendo em vista o advento da Indústria 4.0.
PDF
