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Processes in Industry 4.0/5.0: Automation, Robotics and Smart Manufacturing

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".

Deadline for manuscript submissions: 20 April 2025 | Viewed by 1750

Special Issue Editor


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International Frequency Sensor Association (IFSA), 08860 Castelldefels, Spain
Interests: smart sensors; optical sensors; frequency measurements
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Special Issue entitled 'Processes in Industry 4.0/5.0: Automation, Robotics and Smart Manufacturing' will feature extended versions of selected papers from the 5th IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0/5.0 (ARCI' 2025), 19–21 February 2025, Granada, Spain (https://arci-conference.com). This issue focuses on the latest advancements and research in the integration of automation, robotics, and intelligent manufacturing systems within the frameworks of Industry 4.0 and 5.0.

Topics will include innovative solutions for process automation, cutting-edge robotics applications, and the development of smart manufacturing environments. The issue aims to provide a comprehensive overview of how these technologies are reshaping modern industry, emphasizing the transition from automated systems to more interconnected, intelligent, and human-centric manufacturing processes. The selected papers will contribute to a deeper understanding of the challenges and opportunities in this rapidly evolving field, offering insights for both academic researchers and industry professionals.

Dr. Sergey Y. Yurish
Guest Editor

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. Processes 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

  • automation control
  • robotics
  • smart manufacturing
  • smart factories
  • Industry 4.0
  • Industry 5.0

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Published Papers (2 papers)

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Research

14 pages, 2185 KiB  
Article
Enabling Manual Workplace Optimization Based on Cycle Time and Musculoskeletal Risk Parameters
by Lars Hanson, Oskar Ljung, Dan Högberg, Janneke Vollebregt, Juan-Luis Jiménez Sánchez and Pierre Johansson
Processes 2024, 12(12), 2871; https://doi.org/10.3390/pr12122871 - 16 Dec 2024
Viewed by 753
Abstract
Recently the concept of Industry 5.0 has been introduced, reinforcing the human-centric perspective for future industry. The human-centric scientific discipline and profession ergonomics is applied in industry to find solutions that are optimized in regard to both human well-being and overall system performance. [...] Read more.
Recently the concept of Industry 5.0 has been introduced, reinforcing the human-centric perspective for future industry. The human-centric scientific discipline and profession ergonomics is applied in industry to find solutions that are optimized in regard to both human well-being and overall system performance. It is found, however, that most production development and preparation work carried out in industry tends to address one of these two domains at a time, in a sequential process, typically making optimization slow and complicated. The aim of this paper is to suggest, demonstrate, and evaluate a concept that makes it possible to optimize aspects of human well-being and overall system performance in an efficient and easy parallel process. The concept enables production planning and balancing of human work in terms of two parameters: assembly time as a parameter of productivity (system performance), and risk of musculoskeletal disorders as a parameter of human well-being. A software demonstrator was developed, and results from thirteen test subjects were compared with the traditional sequential way of working. The findings show that the suggested relatively unique parallel approach has a positive impact on the expected musculoskeletal risk and does not necessarily negatively affect productivity, in terms of cycle time and time balance between assembly stations. The time to perform the more complex two-parameter optimization in parallel was shorter than the time in the sequential process. The majority of the subjects stated that they preferred the parallel way of working compared to the traditional serial way of working. Full article
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Figure 1

Figure 1
<p>Chart in the AVIX demonstrator, showing total balance time and musculoskeletal risk score per assembly activity (indicated by height and left-side color of each rectangle) (<b>left</b>). The time-weighted musculoskeletal risk scores per station and per body region are shown in a separate window in the prototype used for evaluation in the experiment (<b>right</b>).</p>
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<p>Background information of the participating subjects, their experience in number of years of AVIX, balancing in general, and ergonomics.</p>
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<p>Complete precedence graph (<b>a</b>); simplified precedence graph (<b>b</b>).</p>
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<p>Manual REBA assessment in AVIX software (<b>a</b>); REBA assessment in the DHM tool IPS IMMA (<b>b</b>).</p>
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<p>REBA Max versus cycle time for each of the thirteen participants’ balancing solutions from tests 1:1 (red triangles), 1:2 (blue squares), and 2:1 (green dots).</p>
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<p>REBA Sum versus cycle time for each of the thirteen participants’ balancing solutions from tests 1:1 (red triangles), 1:2 (blue squares), and 2:1 (green dots).</p>
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<p>Balance chart in the final version of the AVIX demonstrator, showing total time and total musculoskeletal risk score per work position (here denoted as Stations 1, 2, and 3), as well as time and musculoskeletal risk score per assembly activity (indicated by height and left side color of each rectangle). A horizontal black line indicates takt time, and an orange line the maximum acceptable musculoskeletal load.</p>
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13 pages, 5396 KiB  
Article
A Novel Approach to DBS Electrode Prototyping
by Jesús Eduardo Medina-Rodríguez, Armando Josue Piña-Díaz, Juan Alejandro Flores-Campos, Karla Nayeli Silva-Garces, Armando Oropeza-Osornio and Christopher René Torres San Miguel
Processes 2024, 12(12), 2694; https://doi.org/10.3390/pr12122694 - 29 Nov 2024
Viewed by 711
Abstract
This research project focuses on the design and fabrication of a deep brain stimulation (DBS) electrode used for Parkinson’s disease. It is a combination of technologies, such as 3D printing injection of polymers and silicones at high and low temperatures, used to develop [...] Read more.
This research project focuses on the design and fabrication of a deep brain stimulation (DBS) electrode used for Parkinson’s disease. It is a combination of technologies, such as 3D printing injection of polymers and silicones at high and low temperatures, used to develop a manufacturing process of a DBS electrode prototype. For the manufacturing process of the DBS electrode, two case studies are proposed, one at high temperature and the other at room temperature. Rings are used for communication at the ends with the deep brain stimulation (DBS). For the development, different types of molds and nozzles were proposed, considering various variables to control the material flow since polymers or copolymers melted at high temperatures behave differently from silicones injected at room temperature. The injection of Polyamide as a coating for a silver core in a mold, as well as the injection of silicone over a steel core, have been applied theoretically and experimentally. The results show a new method and technique to produce DBS electrodes at a low cost. Full article
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Figure 1

Figure 1
<p>The electrode’s geometry and its constituent parts.</p>
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<p>Mold parameters for high-temperature injection [<a href="#B13-processes-12-02694" class="html-bibr">13</a>].</p>
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<p>Free body diagram of a thick-walled cylinder for the design of a hot casting mold.</p>
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<p>High-temperature mold design.</p>
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<p>Free body diagram for low-temperature injection mold.</p>
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<p>Design of room temperature injection mold.</p>
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<p>(<b>a</b>) Recommended coupling in the literature; (<b>b</b>) designed coupling.</p>
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<p>Injection nozzles with flat and concave couplings.</p>
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<p>(<b>a</b>) Nozzle channel; (<b>b</b>) mold–nozzle assembly.</p>
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<p>Cold casting injection mold.</p>
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<p>DBS electrode stapled to two rings.</p>
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<p>Deep brain stimulation (DBS) electrode with a diameter of 2.3 mm.</p>
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