Advances in Manufacturing Ergonomics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: 20 June 2024 | Viewed by 3272

Special Issue Editors


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Guest Editor
Department of Industrial Engineering, University of Salerno, 84084 Fisciano, Italy
Interests: industrial design methods; computer-aided design; virtual prototyping; human factors and ergonomics; comfort assessment; design for ergonomics; biomechanics; human-centred design; digital human modelling; computer aided surgery
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Industrial Engineering, University of Salerno, 84084 Fisciano, Italy
Interests: industrial design methods; computer-aided design; virtual prototyping; human factors and ergonomics; comfort assessment; design for ergonomics; biomechanics; human-centred design; digital human modelling; computer aided surgery

Special Issue Information

Dear Colleagues,

In recent years, Industry 4.0 has brought rapid technological growth and development in manufacturing industries. Emerging concepts and technologies, such as human–robot collaboration (HRC), augmented and virtual reality (AR/VR), cyber-physical systems (CPSs), the Internet of Things (IoT), and nanotechnology, will constitute the future working environments. Technological development enables efficient manufacturing processes, but also requires the reorganization of work, which may create new threats to employee well-being and challenge their existing skills and knowledge. Therefore, it is crucial to align the advanced technologies in manufacturing to human factors. This Special Issue emphasizes the need for technology to be advanced in tandem with human involvement and empowerment. “Design for all” requirements need to be always applied as if everyone of us is disabled (having the meaning of “differently abled”); this Special Issue will host contributions that explore the new challenges in interactions between humans and 5.0 technologies.

Prof. Dr. Alessandro Naddeo
Dr. Rosaria Califano
Guest Editors

Manuscript Submission Information

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Keywords

  • human factors and ergonomics
  • Industry 4.0
  • self-organizing manufacturing systems
  • e-learning in manufacturing
  • system and human reliability
  • digital manufacturing
  • automation safety
  • manufacturing systems usability
  • systems design
  • agile manufacturing
  • lean manufacturing
  • human–robot cooperation
  • visual inspection
  • cognitive ergonomics
  • personnel capacity planning
  • manufacturing processes
  • design of work systems
  • working environment
  • product and system safety
  • safety design issues

Published Papers (4 papers)

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Research

13 pages, 3190 KiB  
Article
Critical Ergonomics and (Dis)Comfort Factors While Performing Tasks with Hand Tools on a Ladder: A Pilot Study
by Rosaria Califano, Antonio Auricchio, Mario Carbone, Lucio Dessì, Valentino Frasci, Angelo Landi and Alessandro Naddeo
Appl. Sci. 2024, 14(6), 2398; https://doi.org/10.3390/app14062398 - 12 Mar 2024
Viewed by 534
Abstract
Falls at height are among the major causes of fatal accidents at work, especially in the construction sector. Maintaining balance while performing a tool with both hands generates physical efforts and mental loading that needs to be managed for workers’ safety and health. [...] Read more.
Falls at height are among the major causes of fatal accidents at work, especially in the construction sector. Maintaining balance while performing a tool with both hands generates physical efforts and mental loading that needs to be managed for workers’ safety and health. The purpose of the study is to compare perceived (dis)comfort (overall and localized), the ergonomic risk, and the perceived effort through the acquired postures that subjects assumed during the execution of simple and common tasks both on a ladder and on the ground. 26 subjects were asked to perform four tasks in both conditions: top screwing, frontal screwing, object picking from the bottom forward, and object picking from the bottom sideways. Subjective and objective data were gathered for assessing subjective experience (discomfort and effort, perceived) and ergonomic risk. Results highlighted few ergonomic risk differences among “on ladder” and “on ground” tasks, while subjective data reveal significant differences in different scenarios. Furthermore, the knees and neck areas are the most critical ones. Full article
(This article belongs to the Special Issue Advances in Manufacturing Ergonomics)
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14 pages, 354 KiB  
Article
Lean Manufacturing Assessment: Dimensional Analysis with Hesitant Fuzzy Linguistic Term Sets
by William Alexander Chitiva-Enciso, Luis Asunción Pérez-Domínguez, Roberto Romero-López, David Luviano-Cruz, Iván Juan Carlos Pérez-Olguín and Luis Carlos Méndez-González
Appl. Sci. 2024, 14(4), 1475; https://doi.org/10.3390/app14041475 - 11 Feb 2024
Viewed by 764
Abstract
Lean Manufacturing has become, in recent years, one of the most important philosophies for improving production and organizational systems. The literature shows that Hesitant Fuzzy Linguistic Terms Sets (HFLTSs) are highly capable of manipulating the uncertainty that the judgments made by evaluators carry [...] Read more.
Lean Manufacturing has become, in recent years, one of the most important philosophies for improving production and organizational systems. The literature shows that Hesitant Fuzzy Linguistic Terms Sets (HFLTSs) are highly capable of manipulating the uncertainty that the judgments made by evaluators carry and that they are subject to their perception, especially when used in combination with multicriteria decision making (MCDM) for the measurement of indicators in this type of system, as well as their general performance. However, it is still of interest to researchers to develop techniques and instruments that facilitate the measurement of the results obtained after applying this philosophy in organizations. This article proposes a model for the evaluation of the Lean Manufacturing performance through the Analytic Hierarchy Process (AHP) and Dimensional Analysis (DA) using HFLTSs. The results obtained show that the proposed model is a solid tool for the evaluation of Lean Manufacturing systems from a different perspective and that it can be integrated into the issuance of evaluations in a better way by considering human subjectivity. At the same time, it offers a strategy to create priorities in the action plans that Lean system managers propose after evaluating. However, it is important to apply the proposed model to multiple organizations and analyze the results obtained to maximize its benefits. Full article
(This article belongs to the Special Issue Advances in Manufacturing Ergonomics)
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20 pages, 17073 KiB  
Article
An Ergonomic Study on the Operation Method and In-Vehicle Location of an Automotive Electronic Gearshift
by Sehee An, Jiwon Park, Hanul Kim, Hyemin Kang and Donghyun Beck
Appl. Sci. 2024, 14(2), 672; https://doi.org/10.3390/app14020672 - 12 Jan 2024
Viewed by 693
Abstract
This study conducted a survey to identify the best ergonomic operation method, in-vehicle location, and the effects of their combination on electronic gearshifts. A total of 15 different design alternatives were derived through combinations of three operation methods (lever slide, button push, and [...] Read more.
This study conducted a survey to identify the best ergonomic operation method, in-vehicle location, and the effects of their combination on electronic gearshifts. A total of 15 different design alternatives were derived through combinations of three operation methods (lever slide, button push, and dial rotation) and five in-vehicle locations (left wheel spoke, right wheel spoke, upper center fascia, lower center fascia, and center console). A total of 40 respondents with diverse ages and driving experiences evaluated the 15 different design alternatives across nine ergonomic evaluation measures (accuracy, efficiency, rapidity, learnability, intuitiveness, safety, preference, memorability, and satisfaction). The study results indicated that: (1) the lever slide and button push were superior to dial rotation for the operation method; (2) the lower center facia and center console were superior for the in-vehicle location, and (3) implementing the lever slide method in the center console location was found to lead to the best combination of the operation method and in-vehicle location, while implementing the button push method in the right wheel spoke or upper center fascia location also showed relative superiority. The study findings are expected to contribute to the ergonomic design of electronic gearshifts that can enhance the driver’s gear-shifting experience, thereby improving driving performance and safety. Full article
(This article belongs to the Special Issue Advances in Manufacturing Ergonomics)
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15 pages, 8394 KiB  
Article
Research on the Accuracy of Clothing Simulation Development: The Influence of Human Body Part Characteristics on Virtual Indicators
by Zhe Cheng, Xinzhou Wu and Victor Kuzmichev
Appl. Sci. 2023, 13(22), 12257; https://doi.org/10.3390/app132212257 - 13 Nov 2023
Viewed by 797
Abstract
Currently, many virtual simulation design studies of compression pants do not consider pressure distribution and human body characteristics. Therefore, this study aimed to optimize the simulation design accuracy of compression pants by investigating female body characteristics to improve the pressure distribution and enhance [...] Read more.
Currently, many virtual simulation design studies of compression pants do not consider pressure distribution and human body characteristics. Therefore, this study aimed to optimize the simulation design accuracy of compression pants by investigating female body characteristics to improve the pressure distribution and enhance comfort. Firstly, we divided the body part features into flexible and rigid parts, performed compression relationship analysis between the material and the body, and collected qualitative and quantitative data related to the potential influencing factors. Subsequently, by conducting correlation analysis of the data, a pressure prediction model was established to address the pressure value errors in the simulation data. The research results showed that there was a significant difference between the real and virtual pressures in the flexible parts of the female body, and that the real pressure was closely related to the elasticity and thickness properties of the material. By optimizing virtual pressure values, the consistency between the virtual pressure and real test results can be significantly improved. The accurate prediction and optimization of pressure values can lead to the reduction of material waste and energy consumption during the manufacturing process. Full article
(This article belongs to the Special Issue Advances in Manufacturing Ergonomics)
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