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Smart Sustainable Techniques and Technologies for Industry 5.0

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

Deadline for manuscript submissions: 14 June 2024 | Viewed by 3510

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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

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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

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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

Published Papers (2 papers)

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Research

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27 pages, 2635 KiB

Open AccessArticle

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 - 03 Dec 2023

Viewed by 1649

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, 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 (SRVF^HI5.0) 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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Other

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23 pages, 6680 KiB

Open AccessSystematic 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

Viewed by 1396

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 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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