Preventing Work-Related Musculoskeletal Disorders in Manufacturing by Digital Human Modeling

Grobelny, Jerzy; Michalski, Rafał

doi:10.3390/ijerph17228676

Cited by 12 publications

(7 citation statements)

References 57 publications

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“…Typically, DHMs include virtual environments for modeling and simulating employee postures and WRMSD risk assessment tools. Work process simulation helps end users redesign the workplace to reduce potential hazards and eliminate harmful and uncomfortable postures and movements (Grobelny & Michalski, 2020).…”

Section: Introductionmentioning

confidence: 99%

Digital Human Modeling in Improving the Ergonomics of Industrial Workplace – a Methodological framework

LASOTA,

HANKIEWICZ

2024

Management and Production Engineering Review

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In the era of Industry 4.0, digital human modeling (DHM) may be the key to improving ergonomics related to manual operations in the workplace. Poor workplace ergonomics may lead to reduced work productivity and an increased risk of health problems among employees, resulting in actual losses for enterprises, e.g., sickness absence, employee turnover, and training. DHM technology can help speed up ergonomic analysis and improvement. This paper proposes a methodological framework based on DHM to improve ergonomics in the workplace. Its purpose is to provide practitioners with an easy and detailed approach to ergonomics assessment and improvement procedures. The framework developed two main stages: the workplace Research Stage and the DHM and Simulation Stage, which cover the eight detailed steps of an effective DHM-based ergonomic assessment together. A case study was used to verify and demonstrate the effectiveness of the proposed methodological framework.

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Section: Introductionmentioning

confidence: 99%

Digital Human Modeling in Improving the Ergonomics of Industrial Workplace – a Methodological framework

LASOTA,

HANKIEWICZ

2024

Management and Production Engineering Review

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“…Depending on the use case, different kinds of digital human models can be used in the product development process. Anthropometric digital human models can map user groups and are typically used in ergonomics assessment for reachability and visibility analyses [12,13]. Due to the representation of the human as a multibody system, musculoskeletal human models are suited for biomechanical analyses.…”

Section: Introductionmentioning

confidence: 99%

A Co-Simulation Model Integrating a Musculoskeletal Human Model with Exoskeleton and Power Tool Model

Molz,

Scherb,

Löffelmann

et al. 2024

Applied Sciences

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Working at and above head height with a power tool represents a common activity in craft and assembly applications. To assist and protect the user from overload and injuries in these situations, the development and use of application-specific support systems, such as exoskeletons and power tools, have greatly increased in recent years. Thus, the integration of aspects of the user-centered product development of support systems in the early phases of product development process has high potentials. A common approach to integrate the user early in the product development process is the use of musculoskeletal human models, which allow the evaluation of effects on the human body. This could also be applicable in the mentioned use case to enable the evaluation of the interactions for the user. Therefore, a co-simulation model for virtual modelling and simulating human–machine interactions is presented. The co-simulation model is made up of a musculoskeletal human model and the models of the technical systems (exoskeleton and power tool). By applying the co-simulation model, the impact of technical systems on the human body can be taken into account to derive design alternatives for the technical system due to the requirements of the user. The paper describes the design of the co-simulation model and particularly, the interaction of the submodels. The evaluation of the co-simulation model is carried out with the help of a subject study for the selected use case working at and above head height. The results show plausible results for the muscle loads considering the support by an exoskeleton. Furthermore, the comparison of simulated results to measured muscle activations via surface electromyography shows a good agreement. Thus, the co-simulation model passes the test for functionality and seems to be applicable for the derivation of design alternatives of technical systems regarding the user needs. In future, the co-simulation model will be further validated with a higher number of subjects and to implement design alterations in the technical systems.

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“…They are used across many scientific disciplines, like evaluation of the prognosis of chronic and acute diseases, risk assessment in different conditions like malnutrition and obesity, studying work-related musculoskeletal disorders, prediction of weight, height, body mass index (BMI), etc. (1)(2)(3)(4)(5). In intensive care, we require values like height and weight to calculate various measures.…”

Section: Introductionmentioning

confidence: 99%

Development of Gender-Specific Equations for Estimating Body Weight and Height Based on Anthropometric Measurements in Adults from Shiraz, Iran

et al. 2023

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Background: In various situations, such as determining nutrition requirements, medication dosage, mechanical ventilation, and resuscitation, height, weight, and BMI are considered. Anthropometric body measurements differ among populations of different genders and ethnicities. Objectives: This study aimed to develop gender-specific equations for estimating body weight and height based on anthropometric measurements in Iranian adults. Methods: This cross-sectional study was conducted in Shiraz, Iran, over six months. Healthy volunteers aged 18-80 were included. Exclusion criteria were limb(s) amputation or immobilization and pregnancy. Participants were randomly divided into modeling (n = 400) and validation (n = 78) groups. We used the modeling group to generate regression equations based on gender and the validation group to test them. Results: Demi-span, age, knee height, and arm span could predict height with reasonable accuracy. Calf, waist, neck, and wrist circumferences entered our regression for predicting weight. Waist and calf circumferences entered the regression for BMI prediction in both genders. Arm circumference in men and neck circumference in women is strongly correlated with BMI. Conclusions: Many different equations have been suggested to predict height, weight, and BMI. Linear and circumferential body measures are usually used to predict height and weight. The suggested equations in this study are simple, and the anthropometric measurements require only a cloth tape measure and have good predictive ability. Complimentary studies are necessary to evaluate the precision of these formulas in other samples from other regions of Iran and in immobilized patients.

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Preventing Work-Related Musculoskeletal Disorders in Manufacturing by Digital Human Modeling

Cited by 12 publications

References 57 publications

Digital Human Modeling in Improving the Ergonomics of Industrial Workplace – a Methodological framework

Digital Human Modeling in Improving the Ergonomics of Industrial Workplace – a Methodological framework

A Co-Simulation Model Integrating a Musculoskeletal Human Model with Exoskeleton and Power Tool Model

Development of Gender-Specific Equations for Estimating Body Weight and Height Based on Anthropometric Measurements in Adults from Shiraz, Iran

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