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Smart Sustainable Techniques and Technologies for Industry 5.0
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Smart Sustainable Techniques and Technologies for Industry 5.0

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 8453

Special Issue Editors

Prof. Dr. Yuval Cohen

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Guest Editor
Department of Industrial Engineering, Afeka Tel-Aviv College of Engineering, Mivtsa Kadesh 38, Tel-Aviv, Israel
Interests: Industry 4.0; smart manufacturing; digital twins; cyber–physical systems; collaborative robotics; cobots; generative intelligence
Special Issues, Collections and Topics in MDPI journals
Dr. João Reis

E-Mail Website
Guest Editor
Industrial Engineering and Management, Faculty of Engineering, Lusofona University and EIGeS, Campo Grande, 1749-024 Lisbon, Portugal
Interests: smart logistics; smart manufacturing; sustainable operations; sustainable management
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Maurizio Faccio

E-Mail Website
Guest Editor
Department of Management and Engineering, University of Padua, 35122 Padova, PD, Italy
Interests: intelligent manufacturing; digital twins; cyber-physical systems; collaborative robotics; cobots; product assembly
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue, titled “Smart Sustainable Techniques and Technologies for Industry 5.0”, aims to address the growing interest in sustainable, human-centric, and resilient manufacturing and industrial processes.

These goals perfectly match the aims of Sustainability to support “technical, environmental, cultural, economic and social sustainability of human beings”.

The European Commission announcement of Industry 5.0 is based on the advent of Industry 4.0 and the continuing development of techniques and technologies that enhance the abilities of industrial processes to provide a collaborative environment for the human worker; provide better resiliency through smart maintenance; provide better quality through smart inspection and digitized manufacturing; and provide better sustainability through smart resource consumption.  

Industrial shopfloors are in a perfect position to utilize the confluence of digitalization and technological advances for assisting human workers in an immense number of ways, putting the worker in the center and enhancing productivity. Collaborative robotics and cobot deployment are good examples of technologies that put the human in the center and are an integral part of Industry 5.0. Smart maintenance and intelligent inspection are good examples of technologies that make production processes more sustainable, efficient, and reliable. The same could be said for digital twins, which allow for better control decisions related to complex systems.

The ongoing and incoming developments in technology are radical, and will not only improve shopfloor productivity and cost efficiency, but will change the way industrial systems operate and increase their human-centric capabilities, supporting sustainability and resilience.

A new generation of smart advanced and robust systems are in various degrees of development, and are leading to smart manufacturing systems known as Industry 5.0.  The challenge is how to develop models that best utilize technological improvements and instill effectiveness and foster efficiency on the shopfloor. All of these developments necessitate the development of proper optimization models, control algorithms, automation technologies, and management methods to provide workers with the smart cyber–physical systems of self-optimization, self-configuration, self-diagnosis, and intelligent support in their increasingly complex tasks.

The implementation of Industry 5.0 principles to shopfloor manufacturing processes requires the development of proper models, techniques, and algorithms. These model techniques and algorithms would allow us to better employ smart assembly, smart manufacturing, and smart part logistics. The advent of digital twins challenges the research community to find ways to take full advantage of the virtual copy of the physical manufacturing process to enable quick and decentralized decisions. Thus, better models will lead to significant improvements in the flexibility and speed of the whole manufacturing system that enables human-centric, sustainable, and resilient production.

We invite you to submit an original article or literature review to this Special Issue to promote the integration of artificial intelligence (AI) technologies and smart methods and their management in industrial and organizational settings. This Special Issue will provide new tools and insights into this rapidly evolving domain.

We provide a few examples of possible topics below, but we welcome papers on any topic related to the subject of this Special Issue:

  • Collaborative and smart robotics;
  • Human-centric workplace design and control;
  • AI for smart and sustainable manufacturing;
  • Augmented reality for operator assistance;
  • Vision systems for manufacturing processes;
  • Intelligent support systems to assist workers in their increasingly complex tasks;
  • Smart quality assurance and intelligent inspection;
  • Machine learning and big data analytics for sustainable and resilient manufacturing;
  • Digital twins modeling in the Industry 5.0 era;
  • Additive manufacturing technologies for sustainable production;
  • Energy efficiency in manufacturing and industry;
  • Machine learning in manufacturing and logistics;
  • Big data analytics for manufacturing and logistics;
  • Sustainable supply chain management;
  • Predictive maintenance for sustainable operations;
  • Virtualization and simulation techniques for manufacturing decision-making;
  • Data-driven decision-making in production and operations;
  • Smart process control for sustainable operations;
  • Standards for sustainability manufacturing (SM);
  • Requirements and auditing for SM.

We look forward to receiving your contributions.

Prof. Dr. Yuval Cohen
Dr. João Reis
Prof. Dr. Maurizio Faccio
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. Sustainability 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 2400 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
  • cobots
  • collaborative robot
  • digital twin
  • smart maintenance
  • machine learning
  • big data
  • computer vision
  • human in the loop
  • intelligent manufacturing

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Published Papers (4 papers)

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26 pages, 6592 KiB  
Article
Beyond Industry 4.0: Tracing the Path to Industry 5.0 through Bibliometric Analysis
by Alexandra Nicoleta Ciucu-Durnoi, Camelia Delcea, Aurelia Stănescu, Cosmin Alexandru Teodorescu and Vanesa Mădălina Vargas
Sustainability 2024, 16(12), 5251; https://doi.org/10.3390/su16125251 - 20 Jun 2024
Cited by 1 | Viewed by 2190
Abstract
The rapid advancement of technology has led to significant milestones in industrial progress, surpassing previous capabilities and presenting new challenges for adaptation. The current phase of industrial revolutions is characterized by accelerated technological development, particularly in automation and digitalization. For instance, the global [...] Read more.
The rapid advancement of technology has led to significant milestones in industrial progress, surpassing previous capabilities and presenting new challenges for adaptation. The current phase of industrial revolutions is characterized by accelerated technological development, particularly in automation and digitalization. For instance, the global industrial robotics market was valued at approximately USD 43.0 billion in 2022 and is projected to reach USD 70.6 billion by 2028. The integration of human labor alongside robotic machinery, though a tangible reality, may still seem abstract in certain regions. Despite the recent announcement of the fourth industrial revolution, Industry 5.0 has quickly emerged as the new standard toward which industries aspire. This study performs a bibliometric analysis of articles published between 2020 and 2023 that explores the implications of these two industrial revolutions and the transition between them. Using the Clarivate Analytics’ Web of Science Core Collection, the study identifies 154 articles using the Biblioshiny package in R, which simultaneously discuss Industry 4.0 and Industry 5.0 within their titles, abstracts, or keywords. An impressive annual growth rate of 119.47% among the published papers included in the dataset underlines the interest of the research community in this field. Additionally, key findings include the identification of prominent sources, prolific authors, highly cited articles and their content, as well as common research themes explored across the analyzed papers. Among the most relevant sources in terms of the number of publications, the journal Sustainability plays a key role, holding the first position, followed by Applied Sciences, and Sensors. In terms of motor themes, digital transformation, artificial intelligence, the Internet of Things, and smart manufacturing have been found to play a key role. As a result, the present research contributes to understanding the rapid evolution from Industry 4.0 to Industry 5.0, highlighting key trends, influential research, and emerging themes that are shaping the future of industrial advancements. Full article
(This article belongs to the Special Issue Smart Sustainable Techniques and Technologies for Industry 5.0)
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15 pages, 1141 KiB  
Article
Vertical Takeoff and Landing for Distribution of Parcels to Hospitals: A Case Study about Industry 5.0 Application in Israel’s Healthcare Arena
by Michael Naor, Gavriel David Pinto, Pini Davidov, Yuval Cohen, Linor Izchaki, Mukarram Hadieh and Malak Ghaith
Sustainability 2024, 16(11), 4682; https://doi.org/10.3390/su16114682 - 31 May 2024
Cited by 1 | Viewed by 915
Abstract
To gain a sustained competitive advantage, organizations such as UPS, Fedex, Amazon, etc., began to seek for industry 5.0 innovative autonomous delivery options for the last mile. Autonomous unmanned aerial vehicles are a promising alternative for the logistics industry. The fact that drones [...] Read more.
To gain a sustained competitive advantage, organizations such as UPS, Fedex, Amazon, etc., began to seek for industry 5.0 innovative autonomous delivery options for the last mile. Autonomous unmanned aerial vehicles are a promising alternative for the logistics industry. The fact that drones are propelled by green renewable energy source fits the companies’ need to become sustainable, replacing their fuel truck fleets, especially for traveling to remote rural locations to deliver small packages, but a major obstacle is the necessity for charging stations which is well documented in the literature. Therefore, the current research embarks on devising a novel yet practical piece of technology adopting the simplicity approach of direct flights to destinations. The analysis showcases the application for a network of warehouses and hospitals in Israel while controlling costs. Given the products in the case study are medical, direct flight has the potential to save lives when every moment counts. Hydrogen cell technology allows long-range flying without refueling, and it is both vibration-free which is essential for sensitive medical equipment and environmentally friendly in terms of air pollution and silence in urban areas. Importantly, hydrogen cells are lighter, with higher energy density than batteries, which makes them ideal for drone usage to reduce weight, maintain a longer life, and enable faster charging, all of which minimize downtime. Also, hydrogen sourcing is low-cost and unlimited compared to lithium-ion material which needs to be mined. The case study investigates an Israeli entrepreneurial company, Gadfin, which builds a vertical takeoff-and-landing-type of drone with folded wings that enable higher speed for the delivery of refrigerated medical cargo, blood, organs for transplant, and more to hospitals in partnership with the Israeli medical logistic conglomerate, SAREL. An analysis of shipping optimization (concerning the number and type of drone) is conducted using a mixed-integer linear programming technique based on various types of constraints such as traveling distance, parcel weight, the amount of flight controllers and daily number of flights allowed in order to not overcrowd the airspace. Importantly, the discussion assesses the ecosystem’s variety of risks and commensurate safety mechanisms for advancing a newly shaped landscape of drones in an Israeli tight airspace to establish a network of national routes for drone traffic. The conclusion of this research cautions limitations to overcome as the utilization of drones expand and offers future research avenues. Full article
(This article belongs to the Special Issue Smart Sustainable Techniques and Technologies for Industry 5.0)
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27 pages, 2635 KiB  
Article
Security Risk Assessment Framework for the Healthcare Industry 5.0
by Abdullah Baz, Riaz Ahmed, Suhel Ahmad Khan and Sudesh Kumar
Sustainability 2023, 15(23), 16519; https://doi.org/10.3390/su152316519 - 3 Dec 2023
Cited by 2 | Viewed by 2536
Abstract
The relevance of Industry 5.0 confirms the collaborative relationship between humans and machines through an inclusive automation process. The healthcare industry at present is facilitated by the use of these emerging technologies, which promise a more personalized, patient-centric approach, enabling more prompt, cost-effective, [...] Read more.
The relevance of Industry 5.0 confirms the collaborative relationship between humans and machines through an inclusive automation process. The healthcare industry at present is facilitated by the use of these emerging technologies, which promise a more personalized, patient-centric approach, enabling more prompt, cost-effective, and efficacious medical care to the affected. However, managing enormous data volumes, lack of standards, risks to data security, and regulatory obstacles, such as regulatory compliance, are critical issues that must be addressed to ensure that Industry 5.0 can be effectively integrated into the healthcare industry. This research assumes significance in the stated context as it seeks to reveal the gaps between security risks and threats assessments for personalized healthcare services based on Industry 5.0. The study’s investigations cite that the identification of security risks and various threats is an imperative need and must be prioritized so as to ensure optimal security for the healthcare system. Furthermore, the study peruses various security threats and security risk assessments for enhancing and safeguarding the healthcare industry. Moreover, the study also proposes a framework for security risk assessment based on Industry 5.0 (SRVFHI5.0) for the healthcare security system. A step-wise procedure is applied to validate the proposed framework and provide support for designing feasible security evaluation criteria and tools for future research. Statistical analysis was performed to evaluate the measure of the applicability of multiple criteria, the tool’s reliability, and factor analysis. This offers an adequate basis for accepting the suggested risk assessment methodology based on Healthcare Industry 5.0 for implementation as well as further research and analysis. Full article
(This article belongs to the Special Issue Smart Sustainable Techniques and Technologies for Industry 5.0)
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23 pages, 6680 KiB  
Systematic Review
Changes in Sustainable Development in Manufacturing in Cases of Unexpected Occurrences—A Systematic Review
by Justyna Patalas-Maliszewska and Hanna Łosyk
Sustainability 2024, 16(2), 717; https://doi.org/10.3390/su16020717 - 14 Jan 2024
Cited by 3 | Viewed by 2032
Abstract
Nowadays, managers are facing the challenge of operating in situations of high uncertainty: delayed deliveries, lack of energy or rising energy and gas costs, the need to replace energy sources, and changing supply and sales markets. In the literature, two dominant trends in [...] Read more.
Nowadays, managers are facing the challenge of operating in situations of high uncertainty: delayed deliveries, lack of energy or rising energy and gas costs, the need to replace energy sources, and changing supply and sales markets. In the literature, two dominant trends in the activities of enterprises in the face of crises can be distinguished: (I) changes in supply chain management (increased flexibility by searching for local suppliers); and (II) transition to digital production and investment in technologies in the concept of Industry 4.0 or even Industry 5.0, such as artificial intelligence, 3D printing, robots, cyber-physical systems, digital manufacturing, and blockchain. A gap in the research has been observed in examining the impacts of these actions on the implementation of sustainable solutions and designating organizational changes in manufacturing. The main goal of this study is to review the literature using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) for data collection and, secondly, the methodology of Systematic Literature Review (SLR) and Mapping in Literature Reviews (MLR). Our literature review of the selected databases is based on 566 published articles in 2020–2022. The achieved results indicate the main organizational changes in the context of sustainable development in manufacturing, namely in the business management area (adopting Sustainable Project Management (SPM), Sustainable Supply Chain Management practices, Sustainable Supplier Selection (SSS), and Resilient Manufacturing Strategy (RMS)) and in the production area (adopting Internet of Things (IoT)-enabled Additive Manufacturing assists, simulation software, and Life Cycle Assessment. The findings of our study revealed key relationships between the adoption of fifth-generation industrial technologies and the sustainable development of manufacturing. Full article
(This article belongs to the Special Issue Smart Sustainable Techniques and Technologies for Industry 5.0)
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