Reliable Design, Safe Operation and Smart Maintenance of Machines in the Industry 5.0 Context

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Industrial Systems".

Deadline for manuscript submissions: closed (31 July 2024) | Viewed by 2804

Special Issue Editors

MEtRICs Research Center, University of Minho, 4800-058 Guimarães, Portugal
Interests: Industry 4.0; design and development of cyber-physical systems; design and analysis of dependable controllers for obtaining dependable mechatronic systems; mechatronic systems design with special focus on manufacturing industry and medical or biomedical applications, wellbeing and/or rehabilitation
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Guest Editor
Department of Mechanical, Chemical and Materials Engineering (DIMCM), University of Cagliari, 09123 Cagliari, CA, Italy
Interests: robotics; mechatronics; mechanical design; automatic inspection
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Guest Editor
Department of Automation, Universitatea Tehnica Cluj-Napoca, Cluj-Napoca, Romania
Interests: data transmission; discrete event systems; modeling; simulation, formal methods; distributed systems; traffic control
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Guest Editor
Department of Design and Automation, Vellore Institute of Technology, Vellore Campus, Tiruvalam Rd, Katpadi, Vellore 632014, Tamil Nadu, India
Interests: structural health monitoring; composites analysis; condition monitoring; tribology; signal processing; vibration analysis; vibration testing; structural vibration; modal analysis; structural dynamics; finite element modeling

Special Issue Information

Dear Colleagues,

The Industry 5.0 concept came to change, completely, the approach to the reliable design, safe operation and smart maintenance of machines. In fact, new methodologies and tools are needed to produce machines under new guidelines centered on human operators as well as their workplace quality, also bringing an improved focus on sustainability. This recent industrial revolution is described by the European Union as follows: “it places the well-being of the worker at the center of the production process and uses new technologies to provide prosperity beyond jobs and growth while respecting the production limits of the planet.” These new guidelines bring a huge set of challenges that must be considered by designers and make the design, operation and maintenance of reliable machines topics of relevant interest for industry and society.

The scope of this Special Issue is closely associated with that of the ISPEM’2023 conference. This conference and Special Issue aim to present the current innovations and engineering achievements of scientists and industrial practitioners in the thematic areas described above.

Topics of interest include, but are not limited to, the following:

  • Mechanical design;
  • Mechatronics design;
  • Reliable systems engineering;
  • Safe operation;
  • Smart maintenance;
  • Human aspects in industry;
  • Design methodologies;
  • Design software tools;
  • Artificial intelligence;
  • Automation;
  • Big data analytics;
  • Internet of things;
  • Machine learning;
  • Robotics;
  • Smart systems;
  • Virtualization;
  • Production systems management and maintenance;
  • Industry 4.0;
  • Industry 5.0;
  • Modeling, simulation and design;
  • Production planning and scheduling;
  • Maintenance planning and scheduling;
  • Intelligent methods in production and maintenance;
  • Manufacturing technology and system engineering;
  • Supply chain management;
  • Reliability and risk assessment;
  • Control and supervision;
  • Automation measuring systems and sensors;
  • Cyber–physical systems;
  • Cloud and distributed manufacturing;
  • Advanced aerospace material and composites;
  • Machining/forming of advanced materials.

Dr. Jose Machado
Dr. Pierluigi Rea
Dr. Camelia Avram
Dr. Géza Husi
Dr. D. Mallikarjuna Reddy
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. Machines is an international peer-reviewed open access monthly 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
  • reliable machines design
  • machines’ safe operation
  • machines’ smart maintenance
  • risk management
  • reliable systems engineering

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Published Papers (2 papers)

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Research

16 pages, 5238 KiB  
Article
Personalizing Human–Robot Workplace Parameters in Human-Centered Manufacturing
by Robert Ojsteršek, Borut Buchmeister and Aljaž Javernik
Machines 2024, 12(8), 546; https://doi.org/10.3390/machines12080546 - 11 Aug 2024
Viewed by 510
Abstract
This study investigates the relationship between collaborative robot (CR) parameters and worker utilization and system performance in human–robot collaboration (HRC) environments. We investigated whether optimized parameters increase workplace efficiency and whether adapting these parameters to the individual worker improves workplace outcomes. Three experimental [...] Read more.
This study investigates the relationship between collaborative robot (CR) parameters and worker utilization and system performance in human–robot collaboration (HRC) environments. We investigated whether optimized parameters increase workplace efficiency and whether adapting these parameters to the individual worker improves workplace outcomes. Three experimental scenarios with different CR parameters were analyzed in terms of the setup time, assembly time, finished products, work in process, and worker utilization. The main results show that personalized CR parameters significantly improve efficiency and productivity. The scenario in which CR parameters were tailored to individual workers, balanced the workload, and minimized worker stress, resulting in higher productivity compared to non-people-centric settings. The study shows that personalization reduces cognitive and physical stress, promotes worker well-being, and is consistent with the principles of human-centered manufacturing. Overall, our research supports the adoption of personalized, collaborative workplace parameters, supported by the mathematical model, to optimize employee efficiency and health, contributing to human-centered and efficient HRC environments. Full article
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15 pages, 2428 KiB  
Article
Development of an Automated Wooden Handle Packaging System with Integrated Counting Technology
by Filipe Pereira, Luís Magalhães, Adriano A. Santos, António Ferreira da Silva, Katarzyna Antosz and José Machado
Machines 2024, 12(2), 122; https://doi.org/10.3390/machines12020122 - 9 Feb 2024
Cited by 1 | Viewed by 1399
Abstract
Manual counting and packaging processes often involve repetitive, error-prone tasks. Specifically, packaging wooden handles, utilized in gardening tools and cutlery, typically relies on labor-intensive methods with dimensions varying in diameter, length and mass. These variations complicate packaging, requiring precise counting and diverse handling [...] Read more.
Manual counting and packaging processes often involve repetitive, error-prone tasks. Specifically, packaging wooden handles, utilized in gardening tools and cutlery, typically relies on labor-intensive methods with dimensions varying in diameter, length and mass. These variations complicate packaging, requiring precise counting and diverse handling solutions. This article introduces an automated counting structure tailored for a wide array of wooden handles manufactured by a company in northern Portugal. Employing standardized mechanical design methodologies, we delineate crucial stages encompassing the design, development, implementation and testing of this specialized counting equipment. The machine has been partially integrated into the management system of the company, taking into account future global integration according to the Industry 4.0 concept. Full article
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