Introduction to cloud technology and Industry 4.0

2022 ◽  
pp. 1-12
Author(s):  
Dimitris Mourtzis
Keyword(s):  
Industry 4.0 ◽  
Cloud Technology

Evaluation of enablers of cloud technology to boost industry 4.0 adoption in the manufacturing micro, small and medium enterprises

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Geetha Subramanian ◽  
Bhushan T. Patil ◽  
Bhaskar B. Gardas
Keyword(s):  
System Integration ◽  
Industry 4.0 ◽  
Structural Model ◽  
Small And Medium Enterprises ◽  
Manufacturing Sector ◽  
Implementation Process ◽  
Cloud Technology ◽  
Content Type ◽  
Micmac Analysis ◽  
Medium Enterprises

Purpose Cloud technology is extremely critical for the continuing progress of Industry 4.0 and it helps in pooling centralized information for the business. Further, it offers a platform for collaboration for improving the performance of the industry. This paper aims to investigate the factors affecting the implementation of cloud technology for boosting Industry 4.0 adoption in micro, small and medium enterprises (MSMEs) of the manufacturing sector. Design/methodology/approach A total of 14 enablers were considered for the case study which were obtained from the literature survey and shortlisted by the experts of the domain (academia and industries). The interpretive structural modelling (ISM) approach has been used as a methodology for exploring the relationships between the enablers. Matrices impact croises multiplication applique and classment (MICMAC) analysis has been carried out for the validation of the developed structural model. MICMAC analysis helps to identify driving power and dependency potential of all considered enablers. Findings The results of the investigation indicate that three factors, namely, system integration, project management and competitive pressure, were significant. These factors drive all other considered factors in the implementation process. Research limitations/implications The opinions of the experts from the industry and academia were analyzed for the development of the hierarchical model and these inputs could be biased. This investigation intends to help the decision makers in the effective adoption of the cloud and Industry 4.0 technologies and for the formulation of the efficient implementation policies. Originality/value The present study aims to focus on cloud technology as well as Industry 4.0 in the context of manufacturing MSMEs and none of the previous investigations analyzed the enablers that influence the adoption of cloud technology for boosting Industry 4.0, especially using the ISM approach.

scholarly journals Internet of Things (IoTs) Effects and Building Effective Management Information System (MIS) in Vietnam Enterprises and Human-Computer Interaction Issues in Industry 4.0

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 354-363
Author(s):  
Vu Quynh Nam ◽  
Dinh Tran Ngoc Huy ◽  
Nguyen Thi Hang ◽  
Trung-Hieu Le ◽  
Nguyen Thi Phuong Thanh
Keyword(s):  
Information System ◽  
Big Data ◽  
Internet Of Things ◽  
Management Information System ◽  
Industry 4.0 ◽  
Dialectical Materialism ◽  
Effective Management ◽  
Management Information ◽  
Cloud Technology ◽  
Inductive Methods

In recent years there is a rising need in Vietnam enterprises to build an effective management information system in order to deliver better information for management levels to make a proper decision. This paper mainly use qualitative analysis with statistics, synthesis and inductive methods, combine with dialectical materialism methods. Research results indicate that in industry 4.0 under Internet of Things (IoTs) effects, Vietnam enterprises such as hospitals and renewable energy companies or manufacturing firms can use advanced cloud technology to store and process big data of clients to serve for a better MIS system or risk MIS system. IoTs together with Big Data and cloud technology also prove better solutions to accounting and human resources of businesses. Last but not least, this study also propose some solutions to deal with challenges in constructing risk information system in Vietnam enterprises during covid 19 impacts. For instance, we need to invest more on technology infrastructure and take advantage of IoTs effects to build effective MIS for companies to make sound decisions.

Marktkopplung und Ablaufdeterminismus

2017 ◽  
Vol 47 (187) ◽  
pp. 213-228
Author(s):  
Gaus Jobst ◽  
Knop Christopher ◽  
Wandjo David
Keyword(s):  
Industry 4.0 ◽  
Ongoing Debate ◽  
Centralized Planning

Through the ongoing debate different positions support the hypothesis that Industry 4.0 evokes decentralization in everyday works. In this article we argue that the technological premises of Industry 4.0 lead to the contrary: centralized planning ensuing from optimized adaptation to the imperatives of the market. We exemplify this pattern, that we named ‘determinated procedure’, through exemplary cases from different industrial branches. Furthermore, we argue that (indeed) existing decentral moments neither amount to structural decentralization nor to humanizing and empowering concessions to employees, but rather primarily serve to their integration into the enterprise and mobilization of their production intelligence.

THE SERVITIZATION IN INDUSTRY 4.0, FACING CHALLENGES AND TENDENCIES

2018 ◽  
Vol 9 (3) ◽  
pp. 1-19 ◽  
Author(s):  
Silva Leandro Monteiro ◽  
◽  
Viagi Arcione Ferreira ◽  
Giacaglia Giorgio Eugenio Oscare ◽  
◽  
...  
Keyword(s):  
Industry 4.0

THE CONCEPT OF AUTONOMOUS SYSTEMS IN INDUSTRY 4.0

2019 ◽  
Vol 12 (1) ◽  
pp. 77-87
Author(s):  
György Kovács ◽  
Rabab Benotsmane ◽  
László Dudás
Keyword(s):  
Industry 4.0 ◽  
Intelligent Systems ◽  
Autonomous Systems ◽  
Essential Element ◽  
Industrial Sector ◽  
Life Cycles ◽  
Multi Agent Systems ◽  
New Paradigm ◽  
Intelligent Machines ◽  
Digital Network

Recent tendencies – such as the life-cycles of products are shorter while consumers require more complex and more unique final products – poses many challenges to the production. The industrial sector is going through a paradigm shift. The traditional centrally controlled production processes will be replaced by decentralized control, which is built on the self-regulating ability of intelligent machines, products and workpieces that communicate with each other continuously. This new paradigm known as Industry 4.0. This conception is the introduction of digital network-linked intelligent systems, in which machines and products will communicate to one another in order to establish smart factories in which self-regulating production will be established. In this article, at first the essence, main goals and basic elements of Industry 4.0 conception is described. After it the autonomous systems are introduced which are based on multi agent systems. These systems include the collaborating robots via artificial intelligence which is an essential element of Industry 4.0.

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