The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Jörn Messeter - One of the best experts on this subject based on the ideXlab platform.
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Partner Engaged Design. New Challenges For Workplace Design
Proc. of Participatory Design Conference (PDC), 2002Co-Authors: Martin Johansson, Peter Fröst, Eva Brandt, T. Binder, Jörn MesseterAbstract:The spatial organization of the Workplace affects the work going on there. The technology used, changes the work practice. This paper describes a Design process where different aspects of Workplace Design for project-based office work have been combined into one multi-stakeholder project, integrating the spatial aspects, the furniture, the information technology, and the IT-services that are connected to work. To have several different partners with different interests and competencies collaborating in a future oriented Design process puts certain demands on the setup of the process and the tools being used. Taking a starting point in existing work practice, we have driven this project with techniques most often used for user-involvement. Scenario building played a crucial role in tying the process together. The concrete result is a completed concept proposal for an actual “office of the future” layout, which integrates advanced information technology and service solutions. The case shows that it is possible to reach innovative consensus-anchored results with the described Design method
Martin Johansson - One of the best experts on this subject based on the ideXlab platform.
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Partner Engaged Design. New Challenges For Workplace Design
Proc. of Participatory Design Conference (PDC), 2002Co-Authors: Martin Johansson, Peter Fröst, Eva Brandt, T. Binder, Jörn MesseterAbstract:The spatial organization of the Workplace affects the work going on there. The technology used, changes the work practice. This paper describes a Design process where different aspects of Workplace Design for project-based office work have been combined into one multi-stakeholder project, integrating the spatial aspects, the furniture, the information technology, and the IT-services that are connected to work. To have several different partners with different interests and competencies collaborating in a future oriented Design process puts certain demands on the setup of the process and the tools being used. Taking a starting point in existing work practice, we have driven this project with techniques most often used for user-involvement. Scenario building played a crucial role in tying the process together. The concrete result is a completed concept proposal for an actual “office of the future” layout, which integrates advanced information technology and service solutions. The case shows that it is possible to reach innovative consensus-anchored results with the described Design method
Jose Maria Ramada - One of the best experts on this subject based on the ideXlab platform.
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prevention and management of musculoskeletal pain in nursing staff by a multifaceted intervention in the Workplace Design of a cluster randomized controlled trial with effectiveness process and economic evaluation inteval_spain
BMC Public Health, 2019Co-Authors: Consol Serra, Merce Solerfont, Ana Garcia M Garcia, Pilar Pena, Sergio Vargasprada, Jose Maria RamadaAbstract:Musculoskeletal pain (MSP) is the leading cause of years lived with disability. In consequence, to reduce MSP and its associated sickness absence is a major challenge. Previous interventions have been developed to reduce MSP and improve return to work of workers with MSP, but combined approaches and exhaustive evaluation are needed. The objective of the INTEVAL_Spain project is to evaluate the effectiveness of a multifaceted intervention in the Workplace to prevent and manage MSP in nursing staff. The study is Designed as a two-armed cluster randomized controlled trial with a late intervention control group. The hospital units are the clusters of randomization and participants are nurses and aides. An evidence-based multi-component intervention was Designed combining participatory ergonomics, case management and health promotion. Both the intervention and the control groups receive occupational health care as usual. Data are collected at baseline, and after six and 12 months. The primary outcomes are prevalence of MSP and incidence and duration of sickness absence due to MSP. Secondary outcomes are work role functioning and organizational preventive culture. The intervention process will be assessed through quantitative indicators of recruitment, context, reach, dose supplied, dose received, fidelity and satisfaction, and qualitative approaches including discussion groups of participants and experts. The economic evaluation will include cost-effectiveness and cost-utility, calculated from the societal and the National Health System perspectives. Workplace health programs are one of the best options for the prevention and control of non-communicable diseases. The main feature of this study is its multifaceted, multidisciplinary and de-medicalized intervention, which encompasses three evidence-based interventions and covers all three levels of prevention, which have not been previously unified in a single intervention. Also, it includes a comprehensive quantitative and qualitative evaluation of the intervention process, health results, and economic impact. This study could open the possibility of a new paradigm for the prevention and management of MSP and associated sickness absence approach at the Workplace. Current Controlled Trials ISRCTN15780649 Retrospectively registered 13th July 2018.
Sanghyeok Han - One of the best experts on this subject based on the ideXlab platform.
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3d fuzzy ergonomic analysis for rapid Workplace Design and modification in construction
Automation in Construction, 2021Co-Authors: Jingwen Wang, Sanghyeok HanAbstract:Abstract Accurate ergonomic risk assessment is a key to effective Workplace Design and modification in construction. However, conventional ergonomic risk assessment methods are time-consuming, error-prone, require human subjects, and are hindered by inter- and intra-observer reliability issues. This paper proposes an automated proactive 3D fuzzy ergonomic risk analysis method that accurately quantifies ergonomic risks of continuous motions for rapid Workplace Design and modification, addressing all of the aforementioned limitations. A specialized rule-based fuzzy inference algorithm is integrated with 3D automated posture-based ergonomic risk assessments to better capture the gradual transitions characteristic of continuous human motion without abrupt changes in risk ratings. This method is tested in a repetitive lifting experiment, which proves its improved accuracy and reliability for ergonomic risk assessment. The results of the analysis are expected to facilitate the enhancement of safety performance, production performance, and market competitiveness in industrialized construction.
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automated post 3d visualization ergonomic analysis system for rapid Workplace Design in modular construction
Automation in Construction, 2019Co-Authors: Sanghyeok Han, Mustafa Gul, Mohamed AlhusseinAbstract:Abstract Conventional risk assessment of physical work methods is time-consuming and requires human subjects to perform the operational task; 3D visualization, alternatively, allows users to simulate the task, which is less time-consuming and eliminates the need for costly onsite devices and the detrimental effect of human error during experimentation. This paper presents the development of an automated post-3D visualization ErgoSystem, a system that automates ergonomic risk assessment based on 3D modelling with the support of user-friendly platform for rapid Workplace Design. Rapid Entire Body Assessment and Rapid Upper Limb Assessment have also been integrated and adjusted into the proposed system. The system is implemented into the process of comparing various methods of placing insulation onto a modularized panel to demonstrate how the change of movements correlates to the change of Workplace Design. The objective is to proactively mitigate ergonomic risk at the Workplace and to reduce injuries and workers' compensation costs.
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an automated biomechanical simulation approach to ergonomic job analysis for Workplace Design
Journal of Construction Engineering and Management-asce, 2015Co-Authors: Alireza Golabchi, Sanghyeok Han, Joonoh Seo, Sanguk Han, Sanghyun Lee, Mohamed AlhusseinAbstract:AbstractWork-related musculoskeletal disorders (WMSDs) are reported to be the most common category of nonfatal occupational injuries that result in days away from work and are also a leading cause of temporary and permanent disability. One of the most effective approaches to preventing WMSDs is to evaluate ergonomics considerations early in the Design and construction planning stage before the worker encounters the unsafe conditions. However, a lack of tools for identifying potential ergonomic risks in a proposed Workplace Design has led to difficulties in integrating safety and health into Workplace Design practice. In an effort to address this issue, this study explores a motion data-driven framework for ergonomic analysis that automates and visualizes the evaluation process in a virtual Workplace. This is accomplished by coupling the ergonomic analysis with three-dimensional (3D) virtual visualization of the work environment. The proposed approach uses motion data from the 3D model of the jobsite to ev...
William S Marras - One of the best experts on this subject based on the ideXlab platform.
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Workplace Design guidelines for asymptomatic vs low back injured workers
Applied Ergonomics, 2005Co-Authors: Sue A Ferguson, William S Marras, Deborah BurrAbstract:While numerous efforts have attempted to provide quantitative guidelines for the prevention of initial low back disorders during material handling tasks, none have appeared in the literature that address the issue of recurrent low back disorders due to materials handling when returning to the Workplace. A study comparing the spine loads of low back pain patients and asymptomatic controls was conducted. Subjects lifted weights varying from 4.5-11.4 kg at four vertical heights, two horizontal distances and five task asymmetries collectively representing common industrial lifting situations. Spine loading was calculated using a validated EMG-assisted biomechanical model. Spine loads observed during lifting tasks were compared to spine tolerance values believed to initiate low back injuries. In addition, the percentage of patients successfully performing the lift was noted and used as an indication of the willingness of the subject to perform the task. These evaluations are summarized in a series of three lifting guidelines indicating safe, medium risk and high risk lifting tasks for low back patients as well as asymptomatic workers. It is believed that adherence to these guidelines can minimize the risk of recurrent low back disorders due to occupational lifting.
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A neural network-based system for classification of industrial jobs with respect to risk of low back disorders due to Workplace Design
Applied Ergonomics, 1997Co-Authors: Jozef Zurada, Waldemar Karwowski, William S MarrasAbstract:Despite many years of research efforts, the occupational exposure limits of different risk factors for development of low back disorders (LBDs) have not yet been established. One of the main problems in setting such guidelines is the limited understanding of how different risk factors of LBDs interact in causing the injury, as the nature and mechanism of these disorders are relatively unknown phenomena. The task of an industrial ergonomist is complicated because the potential risk factors that may contribute to the onset of LBDs interact in a complex way, and require an analyst to apply elaborate data measurement and collection techniques for a realistic job analysis. This makes it difficult to discriminate well between the jobs that place workers at high or low risk of LBDs. The main objective of this study was to develop an artificial neural network-based diagnostic system which can classify industrial jobs according to the potential risk for low back disorders due to Workplace Design. Such a system could be useful in hazard analysis and injury prevention due to manual handling of loads in industrial environments. The results show that the developed diagnostic system can successfully classify jobs into the low and high risk categories of LBDs based on lifting task characteristics.
