Industry 5.0: The Prelude to the New Industrial Revolution

A special issue of Applied System Innovation (ISSN 2571-5577).

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 32532

Special Issue Editors

Department of Chemical, Materials and Industrial Production Engineering (DICMAPI), University of Naples Federico II, 80125 Naples, Italy
Interests: safety; maintenance; resilience; Industry 4.0
Special Issues, Collections and Topics in MDPI journals
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Interests: safety; industry; engineering

Special Issue Information

Dear Colleagues,

While a significant number of companies around the world are still trying to adapt to Industry 4.0, the discussion about Industry 5.0 has already begun.

In 2018, Raconteur spoke to Phil Cartwright, the executive director of the UK’s Centre for Modelling and Simulation, about this topic. In the interview, Cartwright introduced the characteristics of Industry 5.0, application cases, and predictions for the man–machine relationship in the era of Industry 5.0.

In his view, the biggest feature of Industry 5.0 is “personalization”; that is, the design and production of various sensor data are directly linked to provide users with personalized products in real time. He also predicted that the high degree of automation that Industry 5.0 will bring would not reduce human value but rather increase it through human–machine collaboration.

Over time, the concept of Industry 5.0 has penetrated all walks of life, especially logistics, security, safety, maintenance, and service. Therefore, this Special Issue focuses on the future development of all Industry aspects and its adaptability to society.

Aims and Scope

The aims of this Special Issue are as follows:

  1. To discuss the opportunities and challenges presented by Industry 5.0
  2. To glimpse into the future development prospects of Industry 5.0

The scope of this Special Issue includes the following topics:

  1. Systems engineering issues in Industry 5.0
  2. Industry 5.0 and logistics
  3. Industry 5.0 and safety
  4. Industry 5.0 and maintenance
  5. Industry 5.0 and services
  6. Industry 5.0 and the internet
  7. Industry 5.0 and Internet of Things (IoT)
  8. Development and application of Bluetooth technology under the background of Industry 5.0
  9. Industry 5.0 and management
  10. Industry 5.0 and artificial intelligence (AI)
  11. Human–machine relationship in Industry 5.0
  12. Industry 5.0 and traditional industries
  13. Industry 5.0 and smart buildings
  14. Industry 5.0 and transportation
  15. Any aspects of the subject of Industry 5.0

Prof. Dr. Mario Di Nardo
Dr. Haoxuan Yu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied System Innovation is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Industry 5.0
  • industry
  • systems
  • artificial intelligence (AI)
  • Internet of Things (IoT)
  • human–machine collaboration
  • logistics
  • safety
  • maintenance
  • risk

Published Papers (4 papers)

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Editorial

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3 pages, 181 KiB  
Editorial
Special Issue “Industry 5.0: The Prelude to the Sixth Industrial Revolution”
by Mario Di Nardo and Haoxuan Yu
Appl. Syst. Innov. 2021, 4(3), 45; https://0-doi-org.brum.beds.ac.uk/10.3390/asi4030045 - 11 Jul 2021
Cited by 31 | Viewed by 5040
Abstract
While a significant number of companies around the world are still trying to adapt to Industry 4 [...] Full article
(This article belongs to the Special Issue Industry 5.0: The Prelude to the New Industrial Revolution)

Research

Jump to: Editorial

20 pages, 4800 KiB  
Article
A New Hybrid Dynamic FMECA with Decision-Making Methodology: A Case Study in an Agri-Food Company
by Mario Di Nardo, Teresa Murino, Gianluca Osteria and Liberatina Carmela Santillo
Appl. Syst. Innov. 2022, 5(3), 45; https://0-doi-org.brum.beds.ac.uk/10.3390/asi5030045 - 24 Apr 2022
Cited by 9 | Viewed by 2630
Abstract
The Failure Mode and Effect Analysis (FMEA) is often used to improve a system’s reliability. This paper proposes a new approach that aims to overcome the most critical defects of the traditional FMEA. This new methodology combines the Entropy and Best Worst Method [...] Read more.
The Failure Mode and Effect Analysis (FMEA) is often used to improve a system’s reliability. This paper proposes a new approach that aims to overcome the most critical defects of the traditional FMEA. This new methodology combines the Entropy and Best Worst Method (BWM) methodology with the EDAS and System Dynamics, FMECA: The EN-B-ED Dynamic FMECA. The main innovation point of the proposed work is the presence of an unknown factor (Cost) that allows to obtain an objective weighted factor, a risk index when a machine failure occurs. The criticality analysis has been carried out using software (Vensim PLE x64) to simulate System Dynamics models to identify corrective actions and evaluate the possible implementation of these actions. The methodology proposed is applied to a case study in a relevant Italian company in the agri-food sector. Full article
(This article belongs to the Special Issue Industry 5.0: The Prelude to the New Industrial Revolution)
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14 pages, 1660 KiB  
Article
State of Industry 5.0—Analysis and Identification of Current Research Trends
by Aditya Akundi, Daniel Euresti, Sergio Luna, Wilma Ankobiah, Amit Lopes and Immanuel Edinbarough
Appl. Syst. Innov. 2022, 5(1), 27; https://0-doi-org.brum.beds.ac.uk/10.3390/asi5010027 - 17 Feb 2022
Cited by 106 | Viewed by 17283
Abstract
The term Industry 4.0, coined to be the fourth industrial revolution, refers to a higher level of automation for operational productivity and efficiency by connecting virtual and physical worlds in an industry. With Industry 4.0 being unable to address and meet increased drive [...] Read more.
The term Industry 4.0, coined to be the fourth industrial revolution, refers to a higher level of automation for operational productivity and efficiency by connecting virtual and physical worlds in an industry. With Industry 4.0 being unable to address and meet increased drive of personalization, the term Industry 5.0 was coined for addressing personalized manufacturing and empowering humans in manufacturing processes. The onset of the term Industry 5.0 is observed to have various views of how it is defined and what constitutes the reconciliation between humans and machines. This serves as the motivation of this paper in identifying and analyzing the various themes and research trends of what Industry 5.0 is using text mining tools and techniques. Toward this, the abstracts of 196 published papers based on the keyword “Industry 5.0” search in IEEE, science direct and MDPI data bases were extracted. Data cleaning and preprocessing were performed for further analysis to apply text mining techniques of key terms extraction and frequency analysis. Further topic mining i.e., unsupervised machine learning method was used for exploring the data. It is observed that the terms artificial intelligence (AI), big data, supply chain, digital transformation, machine learning, internet of things (IoT), are among the most often used and among several enablers that have been identified by researchers to drive Industry 5.0. Five major themes of Industry 5.0 addressing, supply chain evaluation and optimization, enterprise innovation and digitization, smart and sustainable manufacturing, transformation driven by IoT, AI, and Big Data, and Human-machine connectivity were classified among the published literature, highlighting the research themes that can be further explored. It is observed that the theme of Industry 5.0 as a gateway towards human machine connectivity and co-existence is gaining more interest among the research community in the recent years. Full article
(This article belongs to the Special Issue Industry 5.0: The Prelude to the New Industrial Revolution)
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15 pages, 765 KiB  
Article
An Exploratory Bibliometric Analysis of the Birth and Emergence of Industry 5.0
by Dag Øivind Madsen and Terje Berg
Appl. Syst. Innov. 2021, 4(4), 87; https://0-doi-org.brum.beds.ac.uk/10.3390/asi4040087 - 04 Nov 2021
Cited by 43 | Viewed by 5114
Abstract
This study provides an exploratory bibliometric analysis of the emerging literature on Industry 5.0, which is a new visionary concept on the future of industry. Industry 5.0 has in recent years begun to attract the interest of both practitioners and academics, but this [...] Read more.
This study provides an exploratory bibliometric analysis of the emerging literature on Industry 5.0, which is a new visionary concept on the future of industry. Industry 5.0 has in recent years begun to attract the interest of both practitioners and academics, but this new field can still be considered embryonic and not well documented. Therefore, this study aims to map the field and provide a preliminary picture of the emergence and status of the scientific literature on Industry 5.0. Bibliometric data covering the period from 2015 to 2021 were extracted from the Scopus database. Bibliometric analyses of overall publication volume and growth trajectory, influential documents, authors, sources and countries are performed. The exploratory analysis provides a preliminary overview of the birth and emergence of this new research area. The results are discussed in relation to theories on the emergence and evolution of new management concepts. The article closes with some speculations about the future trajectory of Industry 5.0. Full article
(This article belongs to the Special Issue Industry 5.0: The Prelude to the New Industrial Revolution)
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