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An investigation of industry 4.0 skills requirements
The Industry 4.0 wave is built on technological advancement that is bringing about significant change. The impact of Industry 4.0 is being felt across all industries, including the education sector. During the 2019 State of the Nation address, the President of South Africa pointed out that the government was seeking to respond to the change in skills requirements. In this paper, a systematic literature review will be performed to investigate Industry 4.0 skills requirements in the engineering profession and the role of capability development in meeting Industry 4.0 requirements. An exploration of the impact of Industry 4.0 on technical institutions as opposed to academic institutions will also be discussed. This paper incorporates this exploratory investigation into detailed research on developing a skills development framework that seeks to bridge the gap between Industry 4.0 skills requirements and development in South Africa ; Die verskynsel van Industrie 4.0 word gedryf deur tegnologiese vordering wat beduidende verandering teweegbring. Die impak van Industrie 4.0 is oor alle industrieë waarneembaar, insluitend die onderwyssektor. Gedurende die 2019-staatsrede het die President van Suid-Afrika daarop gewys dat die regering poog om die verandering in vereistes vir vaardighede te hanteer. In hierdie artikel word 'n sistematiese literatuuroorsig uitgevoer om vas te stel wat die vereistes is vir Industrie 4.0-vaardighede in die ingenieursprofessie asook die rol van vaardigheidsontwikkeling om aan Industrie 4.0-vereistes te voldoen. 'n Ondersoek na die impak van Industrie 4.0 op tegniese instellings in teenstelling met akademiese instellings word ook bespreek. Hierdie werkstuk inkorporeer hierdie verkennende ondersoek in gedetailleerde navorsing oor 'n vaardigheidsontwikkelingstruktuur wat ten doel het om die gaping tussen vereistes vir vaardighede vir Industrie 4.0 en ontwikkeling in Suid-Afrika te oorbrug
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Developing Industry 4.0 with systems perspectives
In: Systems research and behavioral science: the official journal of the International Federation for Systems Research, Band 37, Heft 4, S. 741-748
ISSN: 1099-1743
AbstractThis paper analyses the definition and connotation of Industry 4.0 and proposes that intelligent manufacturing and innovative service are the two core elements of the Industry 4.0. The paper also discusses standardization, integrated information system, training and education, artificial intelligence applications, and the infrastructure issues for the development of Industry 4.0.
Technology, business, innovation, and entrepreneurship in industry 4.0
In: EAI/Springer Innovations in Communication and Computing
This book presents the most recent innovations, trends, and challenges in several aspects of Industry 4.0, including the key technologies and business impacts. The book is relevant to a variety of stakeholders due to Industry 4.0s broad impact in many fields. Topics include digital workplace solutions for employee engagement, entrepreneurship and innovation, and Blockchain for business security. The authors cover Industry 4.0 both from a theoretical and applicable standpoint. Describes Industry 4.0 and its effect on technology, entrepreneurship, and innovation; Presents Industry 4.0s technological advances, trends, challenges, and their impact on business strategy; Includes information relevant to researchers, professors, students, and professionals interested Industry 4.0.
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Industrie 4.0 und soziale Innovation: Fremde oder Freunde?
Einem breiten arbeitspolitischen Konsens zufolge hängt von der konkreten soziotechnischen Gestaltung ab, welche Vor- oder Nachteile die Realisierung von Industrie 4.0 mit sich bringen wird. Soziale Innovationen sollen demnach zur Durchsetzung von humanzentrierten und partizipationsbasierten Formen der Arbeitsgestaltung beitragen. Konzeptionelle und theoretische Bezugspunkte sozialer Innovation werden dabei i.d.R. nur unzureichend zur Kenntnis genommen und nicht systematisch auf Industrie 4.0 bezogen. In der Kurzexpertise erfolgt eine kritische Auseinandersetzung mit Industrie 4.0 aus Perspektive des von der Sozialforschungsstelle Dortmund entwickelten Konzeptes sozialer Innovation. Aus diesem Blickwinkel zeigt sich, dass die technikzentrierte Vision der Industrie 4.0 hinter einen umfassenden Innovationsansatz zurückfällt und zu problematischen Verengungen der Digitalen Agenda führt. Die Debatte um Arbeiten 4.0 setzt hier weitergehende Impulse und verfügt über konzeptionell ausbaufähige Alternativen.
Development of industry 4.0 systems in SMEs environments
Industry 4.0 is the current fourth industrial revolution, which is continuously modifying industrial environments towards technology evolution dealing with ongoing social, economic, and political changes. As a result, companies working in several industries are facing the need for disruptive industrial applications and their business evolution. Small and Medium Enterprises, that traditionally strive to keep up with industrial revolutions since they often are unprepared to understand novelties and to deal with changes that revolutions bring, often fail to identify how they must adapt to new industrial scenario. Dealing with this issue, especially the lack of knowledge of manufacturing Small and Medium Enterprises about new technologies and their gap in recognizing new business principles, this thesis proposes a two-fold approach. Firstly, the recent literature on Industry 4.0 in the engineering field is reviewed for identifying a simple technology stack of Industry 4.0, that can be easily understood also in environments that lack advanced knowledge of technology evolution. The technology stack is provided in the form of a Reference Model, since its suitability for identifying components needed for coping with industrial changes. The model is tested verifying its interoperability with other relevant Reference Models and Architectures of Industry 4.0. Secondly, a Maturity Model is designed, capable of assessing whether manufacturing companies have adopted recent disruptive technologies of Industry 4.0 and they comply with its new business principles, and in which direction they must evolve considering the supply chain in which they do business. The Maturity Model is then tested in the manufacturing and processing agro-food industry of the food valley, located in the Parma district of the Emilia-Romagna region, in Italy. ; L'Industria 4.0 identifica l'attuale quarta rivoluzione industriale, in cui la continua evoluzione delle tecnologie permette di rispondere con successo ai continui cambiamenti sociali, economici e politici. Di conseguenza, le aziende, a prescindere dal settore in cui operano, affrontano la necessità di realizzare applicazioni industriali totalmente nuove e far evolvere il proprio modo di fare business. Le piccole e medie imprese, che tradizionalmente soffrono le rivoluzioni industriali poiché spesso sono impreparate a comprenderne le novità e ad affrontare i cambiamenti che ne derivano, spesso non riescono a conformarsi al nuovo scenario industriale. Per affrontare questo tema, e in particolare la mancanza di conoscenza delle nuove tecnologie da parte delle Piccole e Medie Imprese del settore manufatturiero, e la loro incapacità di riconoscere nuovi principi di business, questo lavoro di tesi propone un duplice approccio. In primo luogo, la recente letteratura sull'Industria 4.0 nel campo dell'ingegneria viene rivista per identificare un semplice stack tecnologico dell'Industria 4.0, che possa essere facilmente compreso anche in ambienti che non hanno una conoscenza avanzata delle recenti evoluzioni tecnologiche. Lo stack tecnologico viene proposto nella forma di Reference Model dell'Industria 4.0, in quanto questa tipologia di modello è adatto a identificare i componenti necessari per affrontare i cambiamenti industriali. Il modello viene testato verificandone l'interoperabilità con altri rilevanti modelli e architetture di riferimento dell'Industria 4.0. In secondo luogo, viene progettato un Modello di Maturità in grado di valutare se le aziende manifatturiere hanno adottato le nuove tecnologie dell'Industria 4.0 e si sono adeguate ai nuovi principi di business, e in quale direzione devono evolvere considerando la supply chain in cui operano. Il Modello di Maturità viene poi testato in un ambiente specifico, cioè l'industria agroalimentare manifatturiera e di processo della food valley situata nella provincia parmense in Emilia-Romagna (Italia).
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Adapting Engineering Education to Industry 4.0 Vision
Industry 4.0 is originally a future vision described in the high-tech strategy of the German government that is conceived upon information and communication technologies like Cyber-Physical Systems, Internet of Things, Physical Internet, and Internet of Services to achieve a high degree of flexibility in production (individualized mass production), higher productivity rates through real-time monitoring and diagnosis, and a lower wastage rate of material in production. An important part of the tasks in the preparation for Industry 4.0 is the adaption of the higher education to the requirements of this vision, in particular the engineering education. In this work, we introduce a road map consisting of three pillars describing the changes/enhancements to be conducted in the areas of curriculum development, lab concept, and student club activities. We also report our current application of this road map at the Turkish German University, Istanbul.
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Industry 4.0: Application of advanced services in logistics
Aquest ítem conté el treball original, defensat públicament amb data 6 de setembre de , així com una versió millorada del mateix a posteriori amb motiu de correcció d'esmenes. ; Industry 4.0 is a concept that refers to the fourth industrial revolution and involves an intelligent interconnected industry making use of digital technologies (IoT, Big Data, ERP, Cloud Computing, Business Intelligence, etc.) allowing data extraction in real time and its control remotely. Logistics is an area that stands out in this environment of Industry 4.0, which is a key element to optimize the supply chain of factories and small companies. The goal of this master thesis is to make an overview of the state of Industry 4.0, its default protocol of communication OPCUA and to show that is possible to democratize the use of Industry 4.0 technologies making a proof of concept of Vertical Communication between a Logistic Tracking Elements of a Logistic Chain (NFC Tags) with the management side (ODOO software) as a solution for inventory control for small and medium companies. The potential of the business model is briefly reviewed.
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Industry 4.0: Application of advanced services in logistics
In: http://hdl.handle.net/2117/121967
Aquest ítem conté el treball original, defensat públicament amb data 6 de setembre de , així com una versió millorada del mateix a posteriori amb motiu de correcció d'esmenes. ; Industry 4.0 is a concept that refers to the fourth industrial revolution and involves an intelligent interconnected industry making use of digital technologies (IoT, Big Data, ERP, Cloud Computing, Business Intelligence, etc.) allowing data extraction in real time and its control remotely. Logistics is an area that stands out in this environment of Industry 4.0, which is a key element to optimize the supply chain of factories and small companies. The goal of this master thesis is to make an overview of the state of Industry 4.0, its default protocol of communication OPCUA and to show that is possible to democratize the use of Industry 4.0 technologies making a proof of concept of Vertical Communication between a Logistic Tracking Elements of a Logistic Chain (NFC Tags) with the management side (ODOO software) as a solution for inventory control for small and medium companies. The potential of the business model is briefly reviewed.
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Business Intelligence: Business Evolution after Industry 4.0
Industry 4.0 is a set of technologies that companies require to promote innovation strategies and obtain a rapid response in dynamic markets. It focuses mainly on interconnectivity, digital technology, predictive analytics and machine learning to revolutionize the way companies operate and develop. Therefore, this article proposes and motivates the implementation of Industry 4.0 in organizations. Studying the state of the art and reviewing the current situation of business intelligence (BI) technology, the way it has positively impacted organizations at the economic and business level in terms of decision-making and some success stories implemented in different business, academic, social and governmental environments. Moreover, it addresses the future expected for Industry 4.0 primarily in BI and how companies should face this revolution. This article provides knowledge contribution about the current state and positive consequences of Industry 4.0, and high development in technology when implemented in the organization and the harmonization between production and intelligent digital technology.
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SSRN
Modern Digital Technologies of Industry 4.0
In: European research studies, Band XXIV, Heft Special Issue 5, S. 680-696
ISSN: 1108-2976
TEAL Organizations in Times of Industry 4.0
In: European research studies, Band XXIV, Heft Special Issue 2, S. 60-71
ISSN: 1108-2976
Consequences of Industry 4.0 in Business and Economics
In: Economies ; Volume 6 ; Issue 3
The introduction of information technology into all aspects of our lives has brought forth qualitative and quantitative changes on such a large scale that this process has come to be known as the Fourth Industrial Revolution, or Industry 4.0. The aim of this paper is to fill in the gaps and provide an overview of studies dealing with Industry 4.0 from the business and economic perspectives. A scoping review is performed regarding business, microeconomic and macroeconomic economic problems. Four investigators performed a literature search of the Web of Science, Scopus, and Science Direct. The selected period spanned from 2014 to 2018, and the following keywords were used for the search: Industry 4.0, economics, economic development, production economics, and financial sector. A total of 2275 results were returned. In all, 67 full papers were screened. Results obtained from the relevant studies were, furthermore, divided into the following categories: work and skills development ; economy growth and macroeconomic aspect ; sustainability ; intelligent manufacturing ; policy ; and change in business processes. Findings show that the aspects of work and skills development, smart technology adoption, intelligent manufacturing, and digitalization are very well described. The government and its policies usually play the role of a needed supportive element. Usually studies lack a coherent view of the topic in question and solve partial questions.
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