Human Work Design: Modern Approaches for Designing Ergonomic and Productive Work in Times of Digital Transformation – An International Perspective

Kuhlang, Peter; Ostermeier, Manuela; Benter, Martin

doi:10.1007/978-3-319-96068-5_4

Cited by 3 publications

(6 citation statements)

References 4 publications

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“…s.t. Heterogeneous experimental data coming from Xsens inertial motion tracking system, AMTI force plates and the sensorized Force/Torque shoes are combined into a homogeneous "wearable" data format through the use of wearables library 4 , that is logged at a frequency of 50 Hz through YARP middleware [46]. The logged homogeneous data is played back in real-time to run the stochastic inverse dynamics algorithm 5 "without" and "with" the non-collocated wrench estimation approach.…”

Section: B Experimental Scenariosmentioning

confidence: 99%

“…D ESPITE the recent concerns of automation, the significance of human beings as an integral part of the future socio-technical workforce is being validated through several studies [1] [2]. The rise of digital transformation in human factors and ergonomics enhancement is an indication of targeted focus on improving the quality of work for human beings through wearable sensors, collaborative robots, and exoskeletons, as the complexity of work is increasing [3] [4]. The qualitative assessments that are typically employed in the field of occupational health and safety are limited in their applicability for the new age of Industry 4.0 [5] [6].…”

Section: Introductionmentioning

confidence: 99%

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Online Non-Collocated Estimation of Payload and Articular Stress for Real-Time Human Ergonomy Assessment

et al. 2021

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Improving the quality of work for human beings is receiving a lot of attention from multiple research communities. In particular, digital transformation in human factors and ergonomics is going to empower the next generation of the socio-technical workforce. The use of wearable sensors, collaborative robots, and exoskeletons, coupled with novel technologies for the real-time assessment of human ergonomy forms the crux of this digital transformation. In this direction, this paper focuses on the open problem of estimating the interaction wrench experienced at the human extremities (such as hands), where the feasibility of direct sensor measurements is not practical. We refer to our approach as non-collocated wrench estimation, as we aim to estimate the wrench at known contact locations but without using any direct force-torque sensor measurements at these known locations. We achieve this by extending the formulation of stochastic inverse dynamics for humans by considering a centroidal dynamics constraint to perform a reliable non-collocated estimation of interaction wrench and the joint torques (articular stress) experienced as a direct consequence of the interaction. Our approach of non-collocated estimation is thoroughly validated in terms of payload estimation and articular stress estimation through validation and experimental scenarios involving dynamic human motions like walking.

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Section: B Experimental Scenariosmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Online Non-Collocated Estimation of Payload and Articular Stress for Real-Time Human Ergonomy Assessment

et al. 2021

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“…On the one hand, the developed method employs aggregated MTM-1 process building blocks and considers time-determining factors such as distance classes, grasp types, or weights. On the other, the method includes an ergonomic description, like in terms of trunk rotations, trunk bending, finger forces, or positions of hands, arms as well as shoulder joints (Kuhlang et al, 2018). As an integrative method, MTM-HWD® allows for simultaneously assessing time and physical exposures (e.g., in combination with EAWS).…”

Section: The Process Language Mtm-human Work Designmentioning

confidence: 99%

“…Therefore, an intuitive notation language with pictograms was developed. This notation language requires the user to match basic chronological ordered motions and existing influencing factors that also include ergonomic factors (Finsterbusch & Kuhlang, 2015;Kuhlang et al, 2018). By doing so, an 'exhaustive anthropological motion model of the human worker' is created and complete motions are described (Finsterbusch et al, 2016, p. 150).…”

Section: The Process Language Mtm-human Work Designmentioning

confidence: 99%

“…Compared to the previous approaches, MTM-HWD® delivers three results in just one step: sequential description of the process and the human motions, basic time, and the so-called ergo declaration. Based on this declaration, the ergonomic assessment (load index) built on EAWS, for instance, can be calculated (Kuhlang, Ostermeier, & Benter, 2018). As a digital process language, MTM-HWD® will be the basis for connecting and translating digital motion data (from planning, simulation, or capturing systems) into real work systems and human labor.…”

Section: Introductionmentioning

confidence: 99%

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Empirical validation of the time accuracy of the novel process language Human Work Design (MTM-HWD®)

Faber

Przybysz

Latos

et al. 2019

Production & Manufacturing Research

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This paper presents the empirical validation of the time accuracy of the process building block system MTM-HWD® (Human Work Design). The analysis is based on process data collected from 62 different workplaces in German manufacturing companies. The accuracy of the process system is analyzed by studying the frequency of employed process building blocks in the data collection procedure. Subsequently, the differences between the MTM-HWD® and MTM-1 cycle times are evaluated. The findings show that there is no significant difference from samples of prior MTM-1 studies with respect to the frequency of employed MTM-1 process building blocks. It is shown that there is a systematic difference and a linear relationship between the MTM-HWD® and MTM-1 time data. However, it is demonstrated that the relatively larger MTM-HWD® times do not differ more than 5 % from the MTM-1 times when considering the 95 % confidence interval of the mean. These results meet the development aims in terms of the defined accuracy of the method of ± 5 % in comparison to MTM-1.

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Defining the digital workplace: A systematic literature review

Mićić¹,

Khamooshi²,

Raković³

et al. 2022

Strategic Management

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There have been a significant number of publications about digital workplace transformation. This is due to technological developments in the last decades as well as the COVID-19 pandemic. However, there is no adequate overall definition of the term. This leads to misunderstandings and confused interpretation of the digital workplace, sometimes even narrowing it down to a set of tools or a platform. Given the complexity of digital workplace transformation, there is a need to have an integrated prospective and analyze it not just from a technological perspective, but from an organizational and processes point of view as well. Therefore, this paper is an attempt to review the concept and offer a comprehensive definition of the digital workplace. This includes all the important aspects of the transformation including tools and platforms as well as personal issues, organization, processes and management. The paper provides a systematic literature review of the publications in leading bibliographic and citation bases, starting from Web of Science and Scopus to SpringerLink, IEEE Xplore and Association for Information Systems eLibrary. The review includes not only journal papers, but also leading proceedings, books and other referent publications. It addresses the authors' approaches, perspectives, terminologies, focusses and understanding of workplace transformation over the last decade by a comprehensive review of the state of art of the literature in the field of digital workplace. Finally, a set of recommendations are made to further research in increasingly important subject of digital workplace transformation.

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Human Work Design: Modern Approaches for Designing Ergonomic and Productive Work in Times of Digital Transformation – An International Perspective

Cited by 3 publications

References 4 publications

Online Non-Collocated Estimation of Payload and Articular Stress for Real-Time Human Ergonomy Assessment

Online Non-Collocated Estimation of Payload and Articular Stress for Real-Time Human Ergonomy Assessment

Empirical validation of the time accuracy of the novel process language Human Work Design (MTM-HWD®)

Defining the digital workplace: A systematic literature review

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