Cyber-Physical Manufacturing in Context of Industry 4.0 Model

Majstorovic, Vidosav D.; Velimirović, Mirjana; Glišić, Marija; Kostic, Julija; Đura, Elena; Rančić, Milan; Mitrović, Radivoje

doi:10.1007/978-3-319-89563-5_17

Cited by 10 publications

(3 citation statements)

References 17 publications

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“…30 Similarly, data availability and integration of cyber physical systems under industry 4.0 concept can also change the course of operational tasks. 31…”

Section: Proposed Methodologymentioning

confidence: 99%

A systematic literature review and future insights on maritime and offshore human reliability analysis

Kandemir

Celik

2022

Proceedings of the Institution of Mechanical Engineers, Part M:

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This paper conducts a systematic literature review through human reliability studies in maritime and offshore industries particularly. The review deeply focussed on the number of 219 featured studies. Among them, 25 special papers were reviewed in detail to have a closer insight into the maritime offshore domain. The proposed maritime HRA concepts and methodologies in the past studies have been inspected and presented with various statistical data. Clustering the existing progress in the literature and industry levels, the effects of emerging industrial developments on human reliability investigations are extensively discussed. Considering the future maritime initiatives (i.e. MASS Code, SDGs, Maritime & Offshore Digitalisation, SkillsFuture, etc.), the paper introduced a new R&D concept entitled Maritime & Offshore Human Reliability Research 2.0 (MOHR 2.0). The MOHR 2.0 is clarified the new contributing dimensions to redefine the tasks and operating environment to conduct next-generation human reliability analysis. Particularly, an application protocol is provided to extend the studies towards offshore operations. Consequently, this study contributes to understanding the potential of existing human reliability studies in maritime and offshore operations while further insights, opportunities, and challenges are highlighted.

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“…30 Similarly, data availability and integration of cyber physical systems under industry 4.0 concept can also change the course of operational tasks. 31…”

Section: Proposed Methodologymentioning

confidence: 99%

A systematic literature review and future insights on maritime and offshore human reliability analysis

Kandemir

Celik

2022

Proceedings of the Institution of Mechanical Engineers, Part M:

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“…1), and is generally characterized as "physical and engineered systems whose operations are monitored, controlled, coordinated, and integrated by a computing and communicating core" (Rajkumar et al, 2010). This paradigm advocates capabilities for collecting data accurately and efficiently, analyzing large amounts of data in real-time, making decisions based on real-time data in an instant and distributed manner, and supporting selfconfiguration and self-adaption (Majstorović et al, 2018). • Industry 4.0 characterizes a new era of industrial revolutions with emphasis on interconnectivity, automation, machine learning, and real-time data analytics (Recommendations for implementing the strategic initiative INDUSTRIE 4.0 April, Securing the future of German manufacturing industry Final report of the Industrie 4.0 Working Group 2013), with the vision of enabling the notion of lot-size of one by addressing current challenges of shortened product lifecycles, growing demand for personalized products, and heightened global competition (Xu, 2012).…”

Section: Motivation: Technology Trends In Manufacturingmentioning

confidence: 99%

Trends in intelligent manufacturing research: a keyword co-occurrence network based review

Yuan

Kamarthi

et al. 2022

J Intell Manuf

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In recent years, driven by Industry 4.0 wave, academic research has focused on the science, engineering, and enabling technologies for intelligent and cyber manufacturing. Using a network science and data mining-based Keyword Co-occurrence Network (KCN) methodology, this work analyzes the trends in data science topics in the manufacturing literature over the past two decades to inform the researchers, educators, industry leaders of knowledge trends in intelligent manufacturing. It studies the evolution of research topics and methods in data science, Internet of Things (IoT), cloud computing, and cyber manufacturing. The KCN methodology is applied to systematically analyze the keywords collected from 84,041 papers published in top-tier manufacturing journals between 2000 and 2020. It is not practically feasible to review this large body of literature through tradition manual approaches like systematic review and scoping review to discover insights. The results of network modeling and data analysis reveal important knowledge components and structure of the intelligent and cyber manufacturing literature, implicit the research interests switch and provide the insights for industry development. This paper maps the high frequency keywords in the recent literature to nine pillars of Industry 4.0 to help manufacturing community identify research and education directions for emerging technologies in intelligent manufacturing.

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“…Introduction -the Need for New ERP Paradigms for Industry 4.0 Industry 4.0 is today and strategic national program of scientific and technological development of the most developed countries around the world, which has been implemented since 2011. Today, thirty-seven countries have this program, whose primary objective is to increase the competitiveness, productivity and efficiency of national industries [1], [2]. On the other hand, this model is the basic framework for research, development, designing and implementation of the next generation of technological systems, smart factories.…”

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confidence: 99%

ERP in Industry 4.0 Context

Majstorovic¹,

Stojadinović²,

Lаlić³

et al. 2020

IFIP Advances in Information and Communication Technology

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Industry 4.0 (I4.0) is a new model of technology systems automation, based on the convergence of technologies that make up the concept of intelligent manufacturing, integrated with information and communication technologies that have been applied in a new way (cloud computing, big data analytics and AI), and the basis of distributed control. This approach has brought unprecedented opportunities to manufacturing systems, especially in the fields of planning and control, from resource to supply chains levels. For this reason, enterprise resource planning (ERP) is being researched and developed, which is based on the use of I4.0 elements: internet of things (IoT), big data analytics (BDA), AI and cloud computng (CC), which in this paper show.

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Cyber-Physical Manufacturing in Context of Industry 4.0 Model

Cited by 10 publications

References 17 publications

A systematic literature review and future insights on maritime and offshore human reliability analysis

A systematic literature review and future insights on maritime and offshore human reliability analysis

Trends in intelligent manufacturing research: a keyword co-occurrence network based review

ERP in Industry 4.0 Context

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