Coupling Digital Human Modeling with Early Design Stage Human Error Analysis to Assess Ergonomic Vulnerabilities

Irshad, Lukman; Ahmed, Salman; Demirel, Onan; Tumer, Irem Y.

doi:10.2514/6.2019-2349

Cited by 11 publications

(4 citation statements)

References 31 publications

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“…During movement, it is the interaction of numerous joints and postural muscles (Emad Alyan et al 2021). Coupling status may be changed in musculoskeletal disorders, resulting in changes in movement patterns and possibly contributing to the development or treatment of thecondition (Lukman Irshad et al 2019). The pressure given to a specific region of the body when it interacts with a hard or pointed matrices, or when the body weight is focused on a small area, is referred to as contact stress (Lin Wang et al 2022).…”

Section: Physical Risk Factorsmentioning

confidence: 99%

Development of Musculoskeletal Disease Risk Factor Assessment (MDRFA) Model for the Factory Workers in Bangladesh

Islam,

Shahriar Hossain,

Shams

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Musculoskeletal diseases can be dependent on numerous environmental and individual factors. The existing methods leave out several important factors during the calculation of risks. Hence, this paper has the purpose to create and examine a way for employees to estimate their own risk of developing musculoskeletal problems employing the Musculoskeletal Disease Risk Factor Assessment (MDRFA) approach. Exactly 112 male cement manufacturing workers participated in this cross-sectional investigation. Participants were interviewed to acquire data about their own possessions. Information on the objects was gleaned through perceiving their work and talking to them. Additionally, they were given the Cornell questionnaires for musculoskeletal pain and instructed to complete them out in Persian (CMDQ). A model was developed using Structural Equation Modeling (SEM) effect coefficients. This technique was verified using a linear regression analysis, and the final score was categorized using the Receiver Operating Characteristic (ROC). The musculoskeletal symptoms are seen to be considerably influenced by either the individual's own characteristics (total coefficient of 0.27) or by physical (total coefficient of 0.51) and psychological (total coefficient of 0.11). Items' computed coefficients were utilized to formulate the MDRFA equation. The ideal cut-off values for the final score of the approach were 14.32, 18.56, and 22.59, creating four distinct categories. The MDRFA approach could adequately explain 73% of risks, but the Rapid Entire Body Assessment (REBA) approach could only justify 51% of risks. Prediction of musculoskeletal disorders relies heavily on personal, physical and psychological characteristics. This methodology may allow for more precise prediction of the occurrence of certain diseases.

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Section: Physical Risk Factorsmentioning

confidence: 99%

Development of Musculoskeletal Disease Risk Factor Assessment (MDRFA) Model for the Factory Workers in Bangladesh

Islam,

Shahriar Hossain,

Shams

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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“…There are many commercially available and open-access software tools available for this type of modeling geared towards product design, which is the primary focus of this section. In product design, these modeling tools are typically used in the early stages of design to evaluate the ergonomic impact (e.g., musculoskeletal effort, user comfort, product fit) of various design decisions [25,26]. Existing modeling software is primarily focused on physical and biomechanical human behavior [27].…”

Section: Digital Human Modelingmentioning

confidence: 99%

Virtual Modeling of User Populations and Formative Design Parameters

Knisely

Vaughn-Cooke

2020

Systems

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Human variability related to physical, cognitive, socio-demographic, and other factors can contribute to large differences in human performance. Quantifying population heterogeneity can be useful for designers wishing to evaluate design parameters such that a system design is robust to this variability. Comprehensively integrating human variability in the design process poses many challenges, such as limited access to a statistically representative population and limited data collection resources. This paper discusses two virtual population modeling approaches intended to be performed prior to in-person design validation studies to minimize these challenges by: (1) targeting recruitment of representative population strata and (2) reducing the candidate design parameters being validated in the target population. The first approach suggests the use of digital human models, virtual representations of humans that can simulate system interaction to eliminate candidate design parameters. The second approach suggests the use of existing human databases to identify relevant human characteristics for representative recruitment strata in subsequent studies. Two case studies are presented to demonstrate each approach, and the benefits and limitations of each are discussed. This paper demonstrates the benefit of modeling prior to conducting in-person human performance studies to minimize resource burden, which has significant implications on early design stages.

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“…To mitigate the negative effects on the health of maintenance professionals, arising from the absence of this ergonomic perspective in the design of mining equipment, it is necessary to develop devices capable of eliminating or reducing these negative impacts on the health of maintenance professionals (Irshad et al, 2019). These devices are called, in this research, advanced technologies.…”

Section: Introductionmentioning

confidence: 99%

The applicability of advanced technologies from the traditional industry to mitigate ergonomic problems in maintenance activities in the mining industry

Santos

Reis

Fernandes

2023

JQME

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PurposeMany advanced technologies applied to maintenance are aimed at data analysis and not directly at the execution of activities. Considering the lack of studies that analyze the use of technologies with a focus on aiding maintenance activities, this study aims to investigate the applicability of advanced technologies capable of mitigating ergonomic risks in mining maintenance activities.Design/methodology/approachA mixed-method study approach was performed in the most important Brazilian mining company, where three groups of equipment were observed: pumps, crushers and sieves. Qualitative and quantitative data were collected, including structured interviews with 60 maintenance professionals for the equipment, and a workshop was held to evaluate the applicability of these technologies in the maintenance activity of this equipment.FindingsIt was verified that the load handler, weight cancelers and automatically guided vehicle technologies were assessed as capable of mitigating ergonomic problems of the supporting the weight of parts and tools and the human traction during maintenance activities.Research limitations/implicationsThe study observed only one company, and the five technologies analyzed here are not yet a reality in this sector.Practical implicationsThis research directs maintenance managers in the implementation of process improvements, in the incorporation of technologies capable of mitigating the ergonomic problems experienced by the maintenance professionals. In this way, it is expected to reduce the number of absences from work and improve the working conditions of these professionals.Social implicationsMining activities impact the local economy and are important in the development of technologies that improve productivity and the man–work relationship. The demands of industries for new solutions encourage local technological development through an approximation with university research and development centers. At the same time, it is observed that these centers can help in the formation of competences to act, either in the implementation of these technologies or in their handling. This university–company integration, in addition to benefiting the mining segment, has the potential to expand the solution to different supply chains, which proves to be a relevant social impact.Originality/valueThis study is pioneering in understanding the use of advanced technologies in maintenance activities in the context of the mining industry (extractive primary sector).

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Coupling Digital Human Modeling with Early Design Stage Human Error Analysis to Assess Ergonomic Vulnerabilities

Cited by 11 publications

References 31 publications

Development of Musculoskeletal Disease Risk Factor Assessment (MDRFA) Model for the Factory Workers in Bangladesh

Development of Musculoskeletal Disease Risk Factor Assessment (MDRFA) Model for the Factory Workers in Bangladesh

Virtual Modeling of User Populations and Formative Design Parameters

The applicability of advanced technologies from the traditional industry to mitigate ergonomic problems in maintenance activities in the mining industry

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