scholarly journals Virtualization and Cloud Computing versus organization management in the realities of Industry 4.0

2021 ◽  
Vol 16 (2) ◽  
pp. 39-47
Author(s):  
Michał Jurek ◽  
Martynas Gelgotas
Keyword(s):  
Cloud Computing ◽  
Industry 4.0 ◽  
Organization Management ◽  
Desk Research

W świecie szybko postępującej digitalizacji oraz cyfryzacji i związanych z tym udogodnień, organizacje rozpoczęły przenoszenie swojej działalności do sfery cyfrowej. Pozwoliło to na utworzenie nowej koncepcji – Przemysłu 4.0, której głównym założeniem jest usieciowienie wszystkich czynności zachodzących w przedsiębiorstwach. Główną rolę w tym procesie odgrywać będzie możliwość wirtualizacji (np. sprzętu komputerowego) i dostęp do niego z dowolnego miejsca o dowolnym czasie przez interesariuszy (klientów, pracowników oraz inne podmioty zewnętrzne) za pomocą zintegrowanego środowiska zapewniającego odpowiednią moc obliczeniową (chmura obliczeniowa). Zjawisko to będzie generować nowe rozwiązania techniczno-technologiczne na polu szeroko pojętej automatyzacji procesów zarządzania. Poruszana problematyka znajduje szczególne zastosowanie podczas występowania różnego rodzaju zagrożeń (zewnętrznych oraz wewnętrznych), których powstawanie prowadzi do niemożności fizycznego (osobistego) prowadzenia działalności gospodarczej. Jest to szczególnie widoczne na kanwie ostatnich wydarzeń związanych z wystąpieniem pandemii koronawirusa (SARS-CoV-2), która wymusiła na wielu podmiotach (prywatnych oraz publicznych) przejście na model pracy zdalnej. By spełnił on swój podstawowy cel – zapewnienie ciągłości działania podmiotu – zostały utworzone nowe oraz rozbudowane już istniejące narzędzia wspomagające pracę zdalną, które oparte są również na wirtualizacji zasobów sprzętowych oraz chmurze obliczeniowej. By obniżyć poziom ryzyka, który wzrósł z względu na konieczność szybkiego dostosowania procesów zachodzących w organizacjach do formuły pracy zdalnej (zwiększone występowanie cyberzagrożeń), koniecznym staje się wykonanie analizy dostępnych rozwiązań narzędziowych w celu przygotowania odpowiednich rekomendacji (dobrych praktyk) możliwych do wdrożenia w każdym podmiocie (organizacji) publicznym lub prywatnym. W tym celu należy dokonać analizy danych zastanych (desk research) oraz przeglądu dostępnej literatury przedmiotu (w tym również dostępnej dokumentacji technicznej) by uzyskać katalog efektywnych rozwiązań techniczno-organizacyjnych.

Industry 4.0: The Importance Factors of Innovation in Adopting Cloud Computing Among SMES in Malaysia

2020 ◽  
Vol 11 (1) ◽  
pp. 84-84
Author(s):  
Siti Salwa Sheikh Mokhtar ◽  
Anuar Shah Bali Mahomed ◽  
Yuhanis Abdul Aziz ◽  
Suhaimi Ab. Rahman
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Industry 4.0 ◽  
Structural Equation ◽  
Industrial Revolution ◽  
Equation Model ◽  
Computing Industry ◽  
Global Economic Growth ◽  
Acceptance Model ◽  
Third Industrial Revolution

Small and medium-sized enterprises (SMEs) are commonly perceived as an essential part of boosting and stabilizing global economic growth. In 2018, SMEs recorded a 38.3% contribution to GDP of RM521.7 billion compared to RM491.2 billion in 2017. SMEs are expected to contribute 50% to Malaysia's GDP by 2030 relative to its present 38% contribution. However, in the context of Malaysia businesses, particularly small and medium-sized enterprises, are still not embracing the latest technology revolution sufficiently, as reported by the Ministry of International Trade and Industry (2018). Malaysia is currently in the third industrial revolution (automation), and some are still under the second industrial revolution. Such matter is worrying as only a few industries in Malaysia can adopt pillars of Industry 4.0, where business owners in Malaysia were still hesitant to embrace technologies such as the cloud. To bridge the gap in this analysis, this research adopted the technology acceptance model developed by Davis (1989) and Rogers' Diffusion Innovation Theory (1995), which incorporates the contexts of technology and innovation among SMEs in Malaysia. By using survey questionnaires, data was collected among manufacturing and services SMEs in Malaysia. Structural equation model employed to assess the important factors of innovation in adopting cloud computing among SMEs in Malaysia by using Smart-PLS. Keywords: Cloud computing, Industry 4.0, Innovation, Technological

How Industry 4.0 Can Benefit From Semantic Web Technologies and Artefacts

2021 ◽  
Vol 13 (4) ◽  
pp. 64-74
Author(s):  
Leila Zemmouchi-Ghomari
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Semantic Web ◽  
Industry 4.0 ◽  
The Internet ◽  
Time Data ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Real Time Data ◽  
The Internet Of Things

Industry 4.0 is a technology-driven manufacturing process that heavily relies on technologies, such as the internet of things (IoT), cloud computing, web services, and big real-time data. Industry 4.0 has significant potential if the challenges currently being faced by introducing these technologies are effectively addressed. Some of these challenges consist of deficiencies in terms of interoperability and standardization. Semantic Web technologies can provide useful solutions for several problems in this new industrial era, such as systems integration and consistency checks of data processing and equipment assemblies and connections. This paper discusses what contribution the Semantic Web can make to Industry 4.0.

scholarly journals Measuring Digital Transformation Maturity of Supply Chain

2021 ◽  
Vol 15 (2) ◽  
pp. 199-204
Author(s):  
Krešimir Buntak ◽  
Matija Kovačić ◽  
Maja Mutavdžija
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Industry 4.0 ◽  
Digital Transformation ◽  
Strategic Decision ◽  
Traditional Practices ◽  
Long Run ◽  
Efficiency And Effectiveness ◽  
Different Levels

Digital transformation signifies changes in all components and systems of the supply chain. It is also a strategic decision of the organization which, in the long run, can result in the creation of competitive advantage in the market. Digital transformation is affecting all organizations, regardless of their activity. Digital transformation of the supply chain involves the use of industry 4.0 based technologies as well as the replacement of traditional practices with new ones based on digital solutions. The implementation of digital solutions, such as artificial intelligence, IoT, cloud computing, etc., therefore, improve communication between stakeholders in the supply chain, as well as improve efficiency and effectiveness. When conducted, digital transformation must be measured by different levels of maturity. In this paper, authors research current models of measuring digital transformation maturity in supply chain and propose a new model based on identified theories and needs.

Curtailing the Threats to Cloud Computing in the Fourth Industrial Revolution

2018 ◽  
pp. 112-140 ◽  
Author(s):  
John Gyang Chaka ◽  
Mudaray Marimuthu
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Cost Minimization ◽  
End Users ◽  
Security Threats ◽  
Fourth Industrial Revolution ◽  
Organizational Needs

Cloud computing enables end users to make use of third party's resources to support their computing needs. The services offered by cloud computing make the technology very critical to the fourth industrial revolution. The benefits include cost minimization, scalability of services, speed, integration and higher data management, low innovation risk, and quicker response to organizational needs, among others. However, these benefits have been threatened by a number of security threats. This chapter seeks to curtail the effects of these threats by enlightening and educating users on the current ways to mitigate them. The chapter first defines cloud computing and highlights its relevance or benefits to businesses in the fourth industrial revolution. In addition, various security threats that are associated with cloud computing are brought to the fore. Thereafter, various measures that are used to mitigate the threats are discussed. The chapter concludes that with adequate enlightenment, the full benefits of cloud computing in industry 4.0 would be better enjoyed by users.

Regulating Digital Transformation

2021 ◽  
pp. 161-183
Author(s):  
Belal Hafnawi
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Digital Transformation ◽  
Small Scale ◽  
The Core ◽  
Road Map ◽  
Regulatory Frameworks ◽  
The Impact

Digital transformation is the core value of the 4th industrial revolution or Industry 4.0. Although the efforts are focused on utilization and usage of technologies like artificial intelligence, internet of things, cloud computing, and many other technologies. We should focus in parallel on regulating the technologies to provide the proper road map and put the proper regulatory frameworks to remove uncertainties in development, investment, or implementation of technologies. Regulatory effectiveness is very important in saving time and rolling out technologies. In one initiative, regulatory technology (RegTech) will utilize the technology to enhance the regulatory process in financial sector; Regulation 4.0 is another; however, plenty of work is still ahead. Some regulators are keen to facilitate the emerging technologies and to see the consequences immediately, thus they use sandbox thinking in evaluating the impact at a small scale. In summary, this chapter will highlight the different practices and methodologies to regulate the digital transformation in the best way.

The Role of Edge/Fog Computing Security in IoT and Industry 4.0 Infrastructures

2021 ◽  
pp. 211-222
Author(s):  
Meltem Mutluturk ◽  
Burcu Kor ◽  
Bilgin Metin
Keyword(s):  
Cloud Computing ◽  
Information And Communication Technologies ◽  
Industry 4.0 ◽  
Fog Computing ◽  
Communication Technologies ◽  
The Internet ◽  
Current State ◽  
Information And Communication ◽  
The Internet Of Things

The development of information and communication technologies (ICT) has led to many innovative technologies. The integration of technologies such as the internet of things (IoT), cloud computing, and machine learning concepts have given rise to Industry 4.0. Fog and edge computing have stepped in to fill the areas where cloud computing is inadequate to ensure these systems work quickly and efficiently. The number of connected devices has brought about cybersecurity issues. This study reviewed the current literature regarding edge/fog-based cybersecurity in IoT to display the current state.

Designing a hybrid cloud for a supply chain network of Industry 4.0: a theoretical framework

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Balan Sundarakani ◽  
Rukshanda Kamran ◽  
Piyush Maheshwari ◽  
Vipul Jain
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Industry 4.0 ◽  
Deep Level ◽  
Cloud Model ◽  
Supply Chain Network ◽  
Hybrid Cloud ◽  
Content Type ◽  
Business Goals ◽  
Shared Risk

PurposeSupply chain is the area that requires effective and integrated means of communication, shared risk, collaboration and orchestration in order to work successfully and the cloud computing has lot to offer to this domain. Cloud computing has appeared as a modern paradigm in supply chain networks for creating intelligent industries of future. The purpose of this paper is to propose a framework that can transform supply chain stakeholders toward Industry 4.0.Design/methodology/approachCloud computing is attributed with increasing competitiveness by focusing on cost reduction, greater elasticity, flexibility and maximum utilization of resources which results in successfully achieving business goals. This paper proposes a Hybrid Supply Chain Cloud model, which integrates the infrastructure, the resources and the configurations of platforms.FindingsThis research paper is aimed at proposing a hybrid cloud that essentially helps in integrating the supply chain network with the flexibility and efficiency. It is important that a supply chain network adds value to ensure customer satisfaction and this can be best achieved by collaborating it with hybrid cloud.Research limitations/implicationsThis research provides a consistent central management and comprehensive view of all computing resources, which gives organizations the knowledge they need to optimize workload placement.Practical implicationsThe findings derived from this research aim to facilitate policy makers and practitioners to develop effective courses of action in current and future supply chain management. Therefore, upon implementation, this model can provide long-term benefits for the organizations by improving the overall efficiency of its supply chain network.Originality/valueThe proposed hybrid cloud will provide deep level of integration in Industry 4.0 situation and thereby brought up portable comprehensive infrastructure based on resources and required configuration in real-time environment.

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