scholarly journals Diskrétní simulace v konceptu Industry 4.0

Author(s):  
Miroslav Malaga ◽  
Zdeněk Ulrych
Keyword(s):  

Příspěvek je rešerší článků, zveřejněných hlavně v databázích Web of Science (WoS) a Scopus, zaměřených na 5 hlavních témat, a to: 1. Vliv detailnosti modelu na výsledky simulace 2. Optimalizace plánování výroby s ohledem na využití energie a přírodních zdrojů 3. Plánování výroby pomocí simulačního modelu v kontextu Industry 4.0 resp. 5.0 4. Metodika přístupu k tvorbě simulačního modelu v kontextu Industry 4.0 a využití simulačních modelů 5. Koncept Industry 5.0 Tato témata jsou zvolena s ohledem na možný budoucí výzkum a nutností zorientovat se v aktuálním vývoji konceptu Industry 4.0 ve spojitosti se simulacemi, plánováním a optimalizací. Koncept Industry 5.0 je zvolen kvůli možnému vysledování nových trendů. Databáze Web of Science a Scopus byly pro vyhledávání článků pro rešerši zvoleny na základě uznávání článku v těchto databázích českými univerzitami.

2021 ◽  
Author(s):  
Miroslav Malaga ◽  
Zdeněk Ulrych
Keyword(s):  

Příspěvek je rešerší článků, zveřejněných hlavně v databázích Web of Science (WoS) a Scopus, zaměřených na využívání hardwarových modelů používaných pro tvorbu digitálních dvojčat, nebo např. pro ověřování nových algoritmů, optimalizaci procesů a algoritmů, vzdělávání studentů a pracovníků apod. Tyto training factories často využívají průmysloví inženýři, proto je součástí i popis průmyslového inženýrství a průmyslového inženýra včetně legislativního omezení, které má na vztah průmyslového inženýra a tématu training factories nezanedbatelný dopad.


2020 ◽  
Vol 12 (14) ◽  
pp. 5650 ◽  
Author(s):  
Krzysztof Ejsmont ◽  
Bartlomiej Gladysz ◽  
Aldona Kluczek

Nowadays, sustainability and Industry 4.0 (I4.0) are trending concepts used in the literature on industrial processes. Industry 4.0 has been mainly addressed by the current literature from a technological perspective, overlooking sustainability challenges regarding this recent paradigm. The objective of this paper is to evaluate the state of the art of relations between sustainability and I4.0. The goal will be met by (1) mapping and summarizing existing research efforts, (2) identifying research agendas, (3) examining gaps and opportunities for further research. Web of Science, Scopus, and a set of specific keywords were used to select peer-reviewed papers presenting evidence on the relationship between sustainability and I4.0. To achieve this goal, it was decided to use a dynamic methodology called “systematic literature network analysis”. This methodology combines a systematic literature review approach with the analysis of bibliographic networks. Selected papers were used to build a reference framework formed by I4.0 technologies and sustainability issues. The paper contributes to the Sustainable Industry 4.0 reference framework with application procedures. It aims to show how I4.0 can support ideas of sustainability. The results showed that apart from a huge contribution to both concepts, many papers do not provide an insight into realization of initiatives to introduce Sustainable Industry 4.0.


Author(s):  
Maksim Sharabov ◽  
Georgi Tsochev

This article presents a brief overview of the effect of new technologies, how they are changing the manufacturing process, and how the machines are starting to get a lot smarter thanks to the artificial intelligence. The focus is over the examination of Industry 4.0 and how it revolutionized the whole manufacturing segment and what promise of a better, more efficient future it brings. This analysis focuses primarily on how artificial intelligence is integrated, what benefits it brings, and how big of an improvement it is over basic programming. Part of the research is based on 771 publications tracked over the past three to five years. Publications are within some of the well-known databases Scopus, Web of Science, and IEEE. We will examine the basic use case scenarios where AI is crucially needed and how a new generation of the factory can look and feel like a living human being. Keywords: Industry 4.0, artificial intelligence, predictive analytics, predictive maintenance, industrial robotics, computer vision.


2019 ◽  
Vol 11 (2) ◽  
pp. 56-70
Author(s):  
Tine Bertoncel ◽  
Maja Meško

This article is based on a literature search, using the keywords: Industry 4.0, smart manufacturing, smart factory, early warning systems and decision making in the Web-of-Science (WoS) database. The authors conducted a bibliometric and topic analysis that covered the year of publication, country of publication and the frequency with which authors, institutions/organizations, journals and phrases appeared in the literature. Based on the research, it was found that research on EWS in Industry 4.0 mainly focused on predictive maintenance. Security threats, workplace safety and managerial early warning systems (MEWS) were also present in the literature on EWS, however to a much lesser degree. The article concludes by discussing the importance of this bibliometric study within the context of MEWS in Industry 4.0 and Industry 4.0 in general.


Work ◽  
2021 ◽  
pp. 1-14
Author(s):  
Mohammad Babamiri ◽  
Rashid Heidarimoghadam ◽  
Fakhrodin Ghasemi ◽  
Leili Tapak ◽  
Alireza Mortezapour

BACKGROUND: The scientometric study is a visualization method used to collect big data from databases, to explore the relationships between citing and co-cited documents and then visualize the results. Unlike the new term Ergonomics 4.0, bibliometric analysis has been studied in various related fields of Ergonomics. OBJECTIVE: The aim of this study was to create a bibliometric analysis in related field of Ergonomics and Fourth Industrial Revolution. This analysis can shed light on the new developed research field in both sides of the present study, occupational ergonomics and industry 4.0. METHODS: After selecting related keywords, Advance search was done in Scopus and Web of Science. Bibliometric results were presented by these databases’ analyzer and by exported data to VOS viewer software. No time or language restriction was applied. RESULTS: Retrieved Articles were 104 and 285 for Web of Science and Scopus respectively. The frequent co-occurrences for keywords were seen between “industry 4.0” and “Human Factors”. The USA and Germany were also the most productive countries in this field. Well-known Ergonomics journals had low participation in the Evolution of Ergonomics and Fourth Industrial Revolution topics. CONCLUSION: Due to more participation of industry 4.0-related researchers in this topic, it is recommended that ergonomists from around the world, and especially Eastern countries, attempt to conduct research in this field. Furthermore, devoting some forth-coming special issues in this field is recommended to top ergonomics journals.


Author(s):  
Rebecca Castagnoli ◽  
Giacomo Büchi ◽  
Monica Cugno

The chapter analyses the literature on Industry 4.0 to understand the effect that Industry 4.0 has on customer co-creation process. The chapter is conceptual and is based on a literature analysis—conducted through ISI-Thompson Web of Science—that answers two research question: (RQ1) if and (RQ2) how the Industry 4.0 changes the customer value co-creation process. The results are summarized into a conceptual framework that shows how Industry 4.0 transforms the creation of value for customers, of customers, and with customers. The implications encourage managers and policymakers to implement a wider range of enabling technologies along the various phases of the supply chain and to adopt a new way to manage the company itself and the relations with customers involving them in the co-creation of products.


2019 ◽  
Vol 9 (14) ◽  
pp. 2819 ◽  
Author(s):  
Raihan Maskuriy ◽  
Ali Selamat ◽  
Kherun Nita Ali ◽  
Petra Maresova ◽  
Ondrej Krejcar

Technology and innovations have fueled the evolution of Industry 4.0, the fourth industrial revolution. Industry 4.0 encourages growth and development through its efficiency capacity, as documented in the literature. The growth of the construction industry is a subset of the universal set of the gross domestic product value; thus, Industry 4.0 has a spillover effect on the engineering and construction industry. In this study, we aimed to map the state of Industry 4.0 in the construction industry, to identify its key areas, and evaluate and interpret the available evidence. We focused our literature search on Web of Science and Scopus between January 2015 and May 2019. The search was dependent on the following keywords: “Industry 4.0” OR “Industrial revolution 4.0” AND TOPIC: “construction” OR “building”. From the 82 papers found, 20 full-length papers were included in this review. Results from the targeted papers were split into three clusters: technology, security, and management. With building information modelling (BIM) as the core in the cyber-physical system, the cyber-planning-physical system is able to accommodate BIM functionalities to improve construction lifecycle. This collaboration and autonomous synchronization system are able to automate the design and construction processes, and improve the ability of handling substantial amounts of heterogeneity-laden data. Industry 4.0 is expected to augment both the quality and productivity of construction and attract domestic and foreign investors.


Exacta ◽  
2021 ◽  
Author(s):  
Luiz Gonzaga Da Costa Neto

As indústrias buscam integrar seu sistema de informação a fim de alimentar dados operacionais para a tomada de decisões. Muitas organizações estão implementando tecnologias de Business Intelligence para oferecer suporte a relatórios e. As tecnologias de Business Intelligence facilitam a coleta de dados, análise e entrega de informações para apoiar a tomada de decisões. O objetivo desse artigo consiste na identificação das oportunidades de aplicações de Business Intelligence no contexto da Indústria 4.0, para tanto, foi realizada uma Revisão Sistemática da Literatura utilizando as palavras-chave Industry 4.0 e Business Intelligence, identificando os principais autores, periódicos mais relevantes, e principais tópicos de pesquisa. Ao final do processo de busca, dezenove artigos foram selecionados com onze tópicos principais, nas bases de dados Scopus, Web of Science e Science Direct, proporcionando análise teórica, aplicações e novas oportunidades de modelos de negócios para a sociedade.


Author(s):  
Marina Teixeira de Souza ◽  
Fernando César Almada Santos

Purpose – This study aims to identify studies on the theme of operational skills and Industry 4.0 between the years 2011 to 2019.Theoretical framework – The study is divided as follows: Section 1 introduces the article, Section 2 presents the theoretical framework on Industry 4.0 and Operational Skills. Section 3 presents the methodology used in the study and, subsequently, Section 4 presents and analyzes data. Finally, the final considerations and perspectives are presented in Section 5.Design/methodology/approach – A systematic review of the literature was carried out between the mentioned period and using the Web of Science database.Findings – From the systematic literature review, as the main operational skills identified in Industry 4.0 are: Flexibility and Adaptability, Continuous learning, Innovation / Creativity and Initiative / Willingness, Resilience, Leadership, Teamwork, Communication, Negotiation, Thinking systemic, Planning, Problem solving, Decision making and Autonomy.Research, Practical Social implications – The main theoretical implication of the study carried out is the identification of the Operational Competencies identified in the literature on Industry 4.0. Therefore, this study opens space for new perspectives and further research on this topic.Originality/value – Studies in the area of Industry 4.0 and Operational Skills are recent and require attention and research, thus, this work contributes to the opening of new perspectives in order to deepen studies on this theme.


2017 ◽  
Vol 02 (03) ◽  
pp. 1750014 ◽  
Author(s):  
Yang Lu

Cyber Physical System (CPS) has provided an outstanding foundation to build advanced industrial systems and applications by integrating innovative functionalities through Internet of Things (IoT) and Web of Things (WoB) to enable connection of the operations of the physical reality with computing and communication infrastructures. A wide range of industrial CPS-based applications have been developed and deployed in Industry 4.0. In order to understand the development of CPS in Industry 4.0, this paper reviews the current research of CPS, key enabling technologies, major CPS applications in industries, and identifies research trends and challenges. A main contribution of this review paper is that it summarizes the current state-of-the-art CPS in Industry 4.0 from Web of Science (WoS) database (including 595 articles) and proposes a potential framework of CPS systematically.


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