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The transformation of the economy being brought about by
Industrie 4.0 is leading to the emergence of highly flexible value
networks. Businesses now need to network their production activi-
ties both in-house and with the systems of external partners. This
in turn requires new forms of cooperation, both nationally and
globally. Common norms and...
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Context 1
... experts who took part in the interviews were unsure about whether individual industrial companies will in future develop their own closed silo solutions (walled gardens) as is currently the case in the IT sector. 53 percent chose "don't know" in Figure 8). However, the majority of the interviewees thought that modular, interoperable solutions must be created for Industrie 4.0 to succeed. ...
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... The need for regulations in this context becomes evident as they provide a general framework for ensuring (among others) the safe, reliable, and ethical use of automation systems. Standards play a crucial role in this context defining the state of the technology and, by that, offers a guide to developing legally compliant technical systems and international, global markets [1]. However, an ever-increasing jungle of standards results in high complexity for practitioners, lecturers, and students. ...
... Furthermore, the terminological separation between norms and standards is not spread and consistently used within the international discussions. In contrast, the term standardization is used mostly for any kind of specification [1,4,7]. Unfortunately, the underlying consensus approach is often not precisely defined. ...
The rapid development of Industry 4.0 technologies requires robust and comprehensive standardization to ensure interoperability, safety and efficiency in the Industry of the Future. This paper examines the fundamental role and functionality of standardization, with a particular focus on its importance in Europe's regulatory framework. Based on this, selected topics in context of standardization activities in context intelligent manufacturing and digital twins are highlighted and, by that, an overview of the Industry 4.0 standards framework is provided. This paper serves both as an informative guide to the existing standards in Industry 4.0 with respect to Artificial Intelligence and Digital Twins, and as a call to action for increased cooperation between standardization bodies and the research community. By fostering such collaboration, we aim to facilitate the continued development and implementation of standards that will drive innovation and progress in the manufacturing sector.
... The performance of SMEs is favourably impacted by business model innovation, according to empirical research. For instance, SMEs that innovated their business models outperformed those that did not in terms of growth rates and financial performance, according to a research by Kagermann et al. (2016). Similar to this, Ritala et al.'s (2014) study revealed that SMEs with a focus on business model innovation outperformed those without it in terms of competitiveness and financial performance. ...
Business sustainability is a factor that businesses, especially SMEs, are giving more and more thought to. Businesses are now looking for methods to integrate sustainable practices into their operations while keeping their business models intact as a result. This study primarily looks at how technology might improve company resilience in order to investigate the connection between SMEs’ business models and their pursuit of sustainability. To enable the study’s main goals be achieved, three hypotheses were developed. The study’s goal was explained using the Resource Based View Theory, Dynamic Capability Theory, and Institutional Theory. By combining purposive and convenience random selection approaches, the researchers performed a field survey of 420 SME operators in Nigeria in order to meet this goal. Smart PLS 3.0 was utilized in the study to evaluate the information gathered. Specifically, they assessed the extent and strength of the correlations between these constructs using path coefficients, t-statistics, R-square values, and p-values. According to the study, technology competence moderates the association between business model innovation and businesses’ resilience, indicating that by utilizing technological skills, business model innovation’s beneficial effects on a firm’s resilience may be amplified. The technology acceptance concept, which contends that adopting new technology may enhance organizational performance, is supported by this research. As SMEs frequently deal with budget limitations and technology difficulties, the study’s findings have significant significance for them. SMEs may be better positioned to survive upheavals and develop resilience by adopting new business strategies and utilizing technical skills. The study discovered that in order to increase their resilience, SMEs must actively adapt to fast-paced and competitive environments using their internal strengths. This indicates that SMEs must assess the value of innovation models in relation to their specific line of business. The study emphasizes the significance of the network interaction between technological innovation, business model innovation, and SMEs’ resilience. The capacity to use technology, which is essential for boosting SMEs’ resilience, strengthens this link. In summary, this study offers a current road map for technical development in the context of novel business models and the resilience of SMEs in Nigeria. This study offers helpful insights for SMEs looking to improve their business models and increase their sustainability in the face of shifting economic and environmental conditions by examining the connections between business model innovation, SMEs’ resilience, and technology.
... A termo "Indústria 4.0" refere-se às transformações decorrentes de inovações, muitas delas ainda em desenvolvimento, que podem alterar significativamente os métodos e organização da produção, além das relações entre os agentes econômicos. Iniciativas semelhantes foram também adotadas nos Estados Unidos e na China (Kagermann et al., 2016). ...
Este trabalho apresenta a análise das tecnologias habilitadoras da Indústria 4.0 aplicadas no setor de energia elétrica, visando melhorar a eficiência e a confiabilidade do setor. Foi realizada pesquisa bibliográfica das principais tecnologias, como (IoT) Internet das coisas, big data, IA inteligência artificial e manufatura aditiva e suas aplicações específicas na indústria. Também foram estudados os benefícios os desafios e as soluções associadas à implementação dessas tecnologias. Os resultados destacam a importância da integração de sistemas, segurança cibernética e capacitação de pessoal para maximizar os benefícios da Indústria 4.0 no setor elétrico. Conclui-se que são evidentes as implicações da Indústria 4.0 no setor elétrico, evidenciando a importância de uma abordagem estratégica e colaborativa para maximizar os benefícios dessas tecnologias e superar os desafios que surgem com sua implementação.
... For instance, smart manufacturing processes, enabled by the Internet of Things (IoT), can monitor and optimize water and energy usage in real-time, minimizing waste and enhancing overall efficiency. Additionally, advancements in artificial intelligence can improve the accuracy of fashion trend predictions, potentially reducing garment overproduction and associated waste [15]. Industry 4.0 is the fourth industrial revolution, marked by the integration of digital technologies into manufacturing and industrial processes. ...
The textile industry, a cornerstone of daily life and a highly globalized sector, faces significant environmental challenges due to its high water and energy consumption and extensive chemical usage. This study proposes a comprehensive green production planning and control model integrating Industry 4.0 concepts, activity-based costing (ABC), and the theory of constraints (TOC). The model utilizes mathematical programming to optimize product mix, maximize profitability, and minimize environmental impact. It leverages real-time sensing technologies and ERP systems to facilitate waste recovery, reduce carbon emissions, and achieve energy savings. Various carbon emission cost models, including continuous and discontinuous tax functions, are explored to balance corporate profitability with environmental sustainability. The findings demonstrate the model’s potential in optimizing resource utilization, reducing the environmental footprint, and enhancing profitability.
... All of this is part of a wider process known as digital transformation. According to Kagermann (2016), digitalization is the cornerstone of Industry 4.0. Industry 4.0 encourages synergy between ICT and OT. ...
... These technologies contribute to progressive manufacturing, robotics, instant data exchange, and decision-making (Kagermann et al., 2016, p. 34). Kagermann et al. (2016) analysed the concept of Industry 4.0, referring to its fundamental ideas and technology support. Specific Industry 4.0 studies have discussed the role of IoT in providing connectivity between equipment and systems, the role of AI in facilitating aspects such as predictive maintenance/decision-making, and the role of big data analytics in enhancing production processes. ...
Industry 4.0, also known as the Fourth Industrial Revolution, recalls a period of change, knocking complex human activities into production lines by implementing innovative technologies in automation, artificial intelligence, and data networking in manufacturing. Its relevance is found in the capacity to cause significant shifts in the characteristics of industries by improving product output, effectiveness, and adaptability. This paper seeks to review the effects of Industry 4.0 on manufacturing, emphasizing enhancing those technologies in production processes. The first research question is whether implementing Industry 4.0 technologies would lead to enhanced productivity and efficiency of production. To this extent, qualitative research tools, such as case studies and interviews, were used alongside quantitative approaches like surveys and statistical analysis. Some of the conclusions highlighted include finding a cause to believe that Industry 4.0 technologies lead to increased productivity, decreased time lost, and flexibility in operations. Based on these findings, Industry 4.0 is becoming an essential factor in current processes of production system renovation and offers valuable information for industries interested in the successful application of such developments.
... It is evident and clear that the modern phenomenon is changing corporate strategies, business models, value and supply chains, processes, products, skills, and relationships with stakeholders. Industry 4.0 creates new opportunities, but also vulnerabilities that need to be managed in order to have a positive impact on business and the enterprise as a whole [4]. ...
... In Germany in 2011, the fourth industrial revolution took place through the partnership of government, private companies and universities aimed at developing a production system in which to achieve greater productivity and efficiency in industries (Erro-Garcés and Aranaz-Núñez, 2020;Kagermann et al., 2016). For Dalmarco et al. (2019), the revolution unites technologies in an autonomous production system, through sensors and knowledge, in addition to self-regulation. ...
... The latter expect it to increase global competitiveness, especially in relation to the so-called emerging economies. The main objective of this concept was to help rebuild and increase the performance of the European Union's industry, i.e. 'reindustrialisation', building on the EU's industrial tradition and its new innovative potential [3]. The validity of this initiative for EU industrial policy is also confirmed by the European Commission in its 2012 strategy paper [4]. ...
Industrial revolutions are causing unprecedented changes in the country’s economy. These changes are driven by new technologies and innovations. This is primarily based on the growing importance of intangible assets. These are the main characteristics of the ongoing industrial revolution. In the absence of a precise definition and indicators quantifying Industry 4.0, intangible assets are presumed to be the common basis of determinants of Industry 4.0. This paper presents the theoretical basis for determining the Industrial Revolution. Comprehensively describes the determinants of the accumulation of intangible assets. Implementing a panel regression technique with random effects shows the results. We identify the factors unlocking the accumulation of intangible assets. This is primarily in the area of government direct and indirect support for investment in R&D and other innovation assets. Also, it is about creating the environment to encourage private investment in innovation assets, intangible ICT assets and economic competencies.
... This concept was formulated in 2011 by Henning Kagermann, head of the German Academy of Sciences and Engineering (Acatech), and is one of the most used worldwide to refer to the wide range of technological changes that have impacted the world's productive structure(KAGERMANN et al., 2016). ...
The aim of this paper is to propose a typology of industrial policy based on the dialogue between neo-Schumpeterian and developmentalist frameworks that incorporates in its normative guidelines the transformations in the techno-productive paradigm in recent decades and their consequent impacts on the competitive, innovative and accumulation dynamics of industrial activities. The article proposes a theoretical discussion with normative implications based on the analysis of the literature on the transformations in the nature of two objects: the changes in the techno-productive paradigm from the 2000s to the efforts towards the promotion of Industry 4.0. As a result, an attempt is made to theoretically justify the design of industrial policies that shift from overly general normative guidelines towards the ones based on the simultaneous understanding of the combination of three specificities of activities supported: (i) levels of capabilities of agents-technological, productive and organizational, (ii) the analysis of the potential degree of effectiveness of industrial policies and (iii) the degree of transversality of the promoted activities.
KEYWORDS:
Industrial policy; development; productive structure; innovation; industry 4.0
