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  • 1.
    Bergman, Christian
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Ruiz Castro, Pamela
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Scania AB, Södertälje, Sweden.
    Implementation of Suitable Comfort Model for Posture and Motion Prediction in DHM Supported Vehicle Design2015In: Procedia Manufacturing, ISSN 2351-9789, Vol. 3, p. 3753-3758Article in journal (Refereed)
    Abstract [en]

    Driver-vehicle interaction analyses are done to ensure a successful vehicle design from an ergonomics perspective. Digital Human Modelling (DHM) tools are often used to support such verifications, particularly at early stages of the product development process. When verifying that a vehicle design accommodates the diversity of users and tasks, a DHM tool needs to be able to represent postures and motions that are likely under certain conditions. This functionality is essential so that the tool user will obtain objective and repeatable simulation results. The DHM tool IMMA (Intelligently Moving Manikins) predicts postures and motions by using computational methods. This offers the possibility to generate postures and motions that are unique for the present design conditions. IMMA was originally developed for simulating manual assembly work, whereas the work presented here is a step towards utilizing the IMMA tool for occupant packaging and related tasks. The objective is a tool for virtual verification of driver-vehicle interaction that supports and automates the simulation work to a high degree. The prediction functionality in IMMA is based on the use of optimization algorithms where one important component is the consideration of comfort level. This paper reports results from an basic investigation of driving postures and available comfort models suitable in a driving context, and shows initial results of seated posture and motion prediction functionality in the IMMA tool.

  • 2.
    Bergman, Christian
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Ruiz Castro, Pamela
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Industrial Development, Scania CV, Sweden.
    Implementation of Suitable Comfort Model for Posture and Motion Prediction in DHM Supported Vehicle Design2015In: Proceedings of the 6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015), AHFE , 2015Conference paper (Refereed)
    Abstract [en]

    Driver-vehicle interaction analyses are done to ensure a successful vehicle design from an ergonomics perspective. Digital Human Modelling (DHM) tools are often used to support such verifications, particularly at early stages of the product development process. When verifying that a vehicle design accommodates the diversity of users and tasks, a DHM tool needs to be able to represent postures and motions that are likely under certain conditions. This functionality is essential so that the tool user will obtain objective and repeatable simulation results. The DHM tool IMMA (Intelligently Moving Manikins) predicts postures and motions by using computational methods. This offers the possibility to generate postures and motions that are unique for the present design conditions. IMMA was originally developed for simulating manual assembly work, whereas the work presented here is a step towards utilizing the IMMA tool for occupant packaging and related tasks. The objective is a tool for virtual verification of driver-vehicle interaction that supports and automates the simulation work to a high degree. The prediction functionality in IMMA is based on the use of optimization algorithms where one important component is the consideration of comfort level. This paper reports results from an basic investigation of driving postures and available comfort models suitable in a driving context, and shows initial results of seated posture and motion prediction functionality in the IMMA tool.

  • 3.
    Bertilsson, Erik
    et al.
    University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
    Högberg, Dan
    University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    Department of Product and Production Development, Chalmers University of Technology, Göteborg, Sweden / Industrial Development, Scania CV, Södertälje, Sweden.
    Digital Human Model Module and Work Process for Considering Anthropometric Diversity2010In: Proceedings of the 3rd Applied Human Factors and Ergonomics (AHFE) International Conference / [ed] Gavriel Salvendy, Waldemar Karwowski, Louisville: AHFE International , 2010Conference paper (Refereed)
    Abstract [en]

    In digital human modelling (DHM), ergonomics evaluations are typically done with few human models. However, humans vary a lot in sizes and shapes. Therefore, few manikins can rarely ensure accommodation of an entire target population. Different approaches exist on how to consider anthropometric diversity. This paper reviews current  DHM  tools  and  clarify  problems  and  opportunities  when  working  with anthropometric diversity. The aim is to suggest  functionality  for a state of the art DHM  module  and  work  process  for  considering  anthropometric  diversity.  The study is done by an analysis of some of the current DHM systems and by interviews of  personnel  at  car  companies  about  their  way  of  working  with  anthropometric diversity. The study confirmed that critical production simulations are often done in early development stages with only one or a few human models. The reason for this is claimed to be time consuming processes, both at the creation of the human model but  mainly  when  correctly  positioning  the  model  in  the  CAD  environment.  The development  of  a  new  method  and  work  process  for  considering  anthropometric diversity is suggested. Necessary features for such a module are that it shall be easy to use and not require expert knowledge about the consideration of anthropometric diversity. It shall also be configurable and transparent, in a sense that it should be possible  to  work  with  own  anthropometric  data  and  ergonomics  evaluation standards. The module has to be flexible and have different entrances depending on the type of anthropometric problem being analyzed. An improved work method is expected to lead to faster and more correct analyses.

  • 4.
    Björkenstam, Staffan
    et al.
    Geometry and Motion Planning group, Fraunhofer-Chalmers Center, Göteborg, Sweden.
    Nyström, Johan
    Geometry and Motion Planning group, Fraunhofer-Chalmers Center, Göteborg, Sweden.
    Carlson, Johan S.
    Geometry and Motion Planning group, Fraunhofer-Chalmers Center, Göteborg, Sweden.
    Roller, Michael
    Department of Mathematical Methods in Dynamics and Durability, Fraunhofer Institute for Industrial Mathematics, Kaiserslautern, Germany.
    Linn, Joachim
    Department of Mathematical Methods in Dynamics and Durability, Fraunhofer Institute for Industrial Mathematics, Kaiserslautern, Germany.
    Hanson, Lars
    Scania AB, Södertälje, Sweden.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Leyendecker, Sigrid
    Chair of Applied Dynamics, University of Erlangen-Nuremberg, Germany.
    A framework for motion planning of digital humans using discrete mechanics and optimal control2017In: Proceedings of the 5th International Digital Human Modeling Symposium / [ed] Sascha Wischniewski & Thomas Alexander, Federal Institute for Occupational Safety and Health , 2017, p. 64-71Conference paper (Refereed)
    Abstract [en]

    In this paper we present a framework for digital human modelling using discrete mechanics and optimal control. Discrete mechanics is particularly well suited for modelling the dynamics of constrained mechanical systems, which is almost always the case when considering complex human models interacting with the environment. We demonstrate that, by using recently developed recursive dynamics algorithms, we are able to efficiently use discrete mechanics in direct optimal control methods to plan for complex motions. Besides a proper mechanical model, an appropriate objective function is paramount to achieve realistic motions as a solution to an optimal control problem. Hence, several different objective functions, such as for example minimum time or minimum applied torque over the joints, are compared, and the resulting motions are analyzed and evaluated. To further improve the model, we include basic muscular models for the muscles of the shoulder, arm and wrist, and examine how this affects the motions.

  • 5.
    Brolin, Erik
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden / Industrial Development, Scania CV, Södertälje, Sweden.
    Björkenstam, Staffan
    Fraunhofer-Chalmers Centre, Gothenburg, Sweden.
    Virtual test persons based on diverse anthropometric data for ergonomics simulations and analysis2017In: Proceedings of the 49th NES 2017 Conference "Joy at Work", Lund, August 20-23, 2017 / [ed] Anna-Lisa Osvalder, Mikael Blomé and Hajnalka Bodnar, Lund: Lund University, Faculty of Engineering , 2017, p. 232-239Conference paper (Refereed)
    Abstract [en]

    This paper describes a study where diverse anthropometric data is included in the process of generating data for a group of virtual test persons. Data on body size, strength and ROM were either collected on an individual level or predicted and synthesized and then used in cluster analyses to generate six unique virtual test persons. Results show that the method is able to generate detailed virtual test persons which enables more realistic and accurate simulations, as strength and ROM data is included into the motion prediction algorithms used to generate motions.

  • 6.
    Brolin, Erik
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Industrial Development, Scania, Scania CV, Södertälje, Sweden / Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden.
    Örtengren, Roland
    Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden.
    Adaptive regression model for prediction of anthropometric data2017In: International Journal of Human Factors Modelling and Simulation, ISSN 1742-5549, Vol. 5, no 4, p. 285-305Article in journal (Refereed)
    Abstract [en]

    This paper presents and evaluates an adaptive linear regression model for the prediction of unknown anthropometric data based on a flexible set of known predictive data. The method is based on conditional regression and includes use of principal component analysis to reduce effects of multicollinearity between the predictive variables. Results from the study show that the proposed adaptive regression model produces more accurate predictions compared to a flat regression model based on stature and weight, and also compared to a hierarchical regression model, that uses geometric and statistical relationships between body measurements to create specific linear regression equations in a hierarchical structure. An additional evaluation shows that the accuracy of the adaptive regression model increases logarithmically with the sample size. Apart from the sample size, the accuracy of the regression model is affected by the number of, and on which measurements that are, variables in the predictive dataset.

  • 7.
    Brolin, Erik
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Chalmers University of Technology, Gothenburg, Sweden.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Chalmers University of Technology, Gothenburg, Sweden / Industrial Development, Scania CV, Södertälje, Sweden.
    Örtengren, Roland
    Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden.
    Adaptive regression model for synthesizing anthropometric population data2017In: International Journal of Industrial Ergonomics, ISSN 0169-8141, E-ISSN 1872-8219, Vol. 59, p. 46-53Article in journal (Refereed)
    Abstract [en]

    This paper presents the development of an adaptive linear regression model for synthesizing of missing anthropometric population data based on a flexible set of known predictive data. The method is based on a conditional regression model and includes use of principal component analysis, to reduce effects of multicollinearity between selected predictive measurements, and incorporation of a stochastic component, using the partial correlation coefficients between predicted measurements. In addition, skewness of the distributions of the dependent variables is considered when incorporating the stochastic components. Results from the study show that the proposed regression models for synthesizing population data give valid results with small errors of the compared percentile values. However, higher accuracy was not achieved when the number of measurements used as independent variables was increased compared to using only stature and weight as independent variables. This indicates problems with multicollinearity that principal component regression were not able to overcome. Descriptive statistics such as mean and standard deviation values together with correlation coefficients is sufficient to perform the conditional regression procedure. However, to incorporate a stochastic component when using principal component regression requires raw data on an individual level.

    Relevance to industry

    When developing products, workplaces or systems, it is of great importance to consider the anthropometric diversity of the intended users. The proposed regression model offers a procedure that gives valid results, maintains the correlation between the measurements that are predicted and is adaptable regarding which, and number of, predictive measurements that are selected.

  • 8.
    Brolin, Erik
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Industrial Development, Scania CV, Södertälje.
    Örtengren, Roland
    Chalmers University of Technology, Gothenburg.
    Development and evaluation of an anthropometric module for digital human modelling systems2019In: International Journal of Human Factors Modelling and Simulation, ISSN 1742-5549, Vol. 7, no 1, p. 47-70Article in journal (Refereed)
    Abstract [en]

    This paper presents the development of a software module and a graphical user interface which aims to support the definition of anthropometry of manikins in a digital human modelling (DHM) tool. The module is developed from user interviews and literature studies, as well as mathematical methods for anthropometric diversity consideration. The module has functionality to create both single manikins and manikin families, where it is possible to combine or analyse different population datasets simultaneously. The developed module and its interface have been evaluated via focus group interviews and usability tests by DHM tool users. Results from the studies show that the developed module and its interface has relevant functionality, fits well into industrial work processes, and is easy to use. The study also identifies possibilities to further increase usability.

  • 9.
    Brolin, Erik
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Industrial Development, Scania, Scania CV, Södertälje, Sweden / Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden.
    Örtengren, Roland
    Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden.
    Generation and evaluation of distributed cases by clustering of diverse anthropometric data2016In: International Journal of Human Factors Modelling and Simulation, ISSN 1742-5557, Vol. 5, no 3, p. 210-229Article in journal (Refereed)
    Abstract [en]

    This paper describes a study where diversity in body size, strength and joint range of motion, together with diversity in other capability measurements, is included in the process of generating data for a group of test cases using cluster analysis. Descriptive statistics and correlation data was acquired for 15 variables for different age groups and both sexes. Based on this data, a population of 10,000 individuals was synthesised using correlated random numbers. The synthesised data was used in cluster analyses where three different clustering algorithms were applied and evaluated; hierarchical clustering, k-means clustering and Gaussian mixture distribution clustering. Results from the study show that the three clustering algorithms produce groups of test cases with different characteristics, where the hierarchical and k-means algorithm give the most diverse results and where the Gaussian mixture distribution gives results that are in between the first two.

  • 10.
    Brolin, Erik
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Mahdavian, Nafise
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Industrial Development, Scania CV, Södertälje.
    Johansson, Joakim
    Bombardier Transportation Sweden AB, Västerås.
    Possibilities and challenges for proactive manufacturing ergonomics2019In: Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume VIII: Ergonomics and Human Factors in Manufacturing, Agriculture, Building and Construction, Sustainable Development and Mining / [ed] Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita, Cham: Springer, 2019, Vol. 825, p. 11-20Conference paper (Refereed)
    Abstract [en]

    This paper identifies and describes product development activities where ergonomics issues could be considered and illustrates how that could be done through a number of different approaches. The study is divided into two parts where an interview study is done to identify where in a product development process consideration of ergonomics issues are or could be done. The second part of the study includes an observation, motion capture and simulation study of current manufacturing operations to evaluate and compare three different assessment approaches; observational based ergonomics evaluation, usages of motion capture data and DHM simulation and evaluation. The results shows the importance of consideration of ergonomics in early development phases and that the ergonomics assessment process is integrated in the overall product and production development process.

  • 11.
    Hanson, Lars
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Carlson, Johan S.
    Geometry and Motion Planning group, Fraunhofer-Chalmers Center, Göteborg, Sweden.
    Delfs, Niclas
    Geometry and Motion Planning group, Fraunhofer-Chalmers Center, Göteborg, Sweden.
    Brolin, Erik
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Mårdberg, Peter
    Geometry and Motion Planning group, Fraunhofer-Chalmers Center, Göteborg, Sweden.
    Spensieri, Domenico
    Geometry and Motion Planning group, Fraunhofer-Chalmers Center, Göteborg, Sweden.
    Björkenstam, Staffan
    Geometry and Motion Planning group, Fraunhofer-Chalmers Center, Göteborg, Sweden.
    Nyström, Johan
    Geometry and Motion Planning group, Fraunhofer-Chalmers Center, Göteborg, Sweden.
    Ore, Fredrik
    School of Innovation, Design and Engineering, Mälardalen University, Eskilstuna, Sweden.
    Industrial path solutions - intelligently moving manikins2019In: DHM and Posturography / [ed] Sofia Scataglini, Gunther Paul, London: Academic Press, 2019, p. 115-124Chapter in book (Other academic)
    Abstract [en]

    IPS IMMA (Industrial Path Solutions - Intelligently Moving Manikins) is a digital human modeling tool developed in close cooperation between academia and industry in Sweden. The academic consortium behind the software consists of expertise within applied mathematics, ergonomics, and engineering. The development of IMMA was initiated from the vehicle industries’ need of an effective, efficient, objective, and user-friendly software for verification of manufacturing ergonomics. The ‘Industrial path solutions - intelligently moving manikins’ chapter consists of two main sections: the first about the commercially available tool, and the second about current or recent research projects developing the software further. Commercial IPS IMMA is presented by describing the biomechanical model and appearance, anthropometrics module, motion prediction, instruction language, and ergonomics evaluation. The research projects focus on dynamic motions simulation, muscle modelling and application areas such as human-robot collaboration, occupant packaging, and layout planning.

  • 12.
    Högberg, Dan
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Brolin, Erik
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden / Industrial Development, Scania CV, Södertälje, Sweden.
    Accommodation levels for ellipsoid versus cuboid defined boundary cases2015In: Procedia Manufacturing, ISSN 2351-9789, Vol. 3, p. 3702-3708Article in journal (Refereed)
    Abstract [en]

    The boundary case method is established for the representation and consideration of anthropometric diversity in design tasks with certain characteristics. Sometime boundary cases are defined separately for two distributions, e.g. for females and males, which may lead to a situation where some boundary cases will be redundant in that they are located within the joint distribution rather than on the joint boundary. This paper describes and illustrates a method for automatic identification of redundant boundary cases that are located within two three-dimensional overlapping distributions.

    Practitioner Summary: The paper describes a pragmatic way to focus the design work on users with specific limiting body measurement combinations that can be used to obtain design data or be used to describe appropriate test persons or digital human models for design problems where the boundary case method is suitable.

  • 13.
    Högberg, Dan
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Brolin, Erik
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Accommodation levels for ellipsoid versus cuboid defined boundary cases2015In: Proceedings of the 6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015), AHFE , 2015Conference paper (Refereed)
    Abstract [en]

    The definition and use of boundary cases is a common approach when aiming to anthropometrically accommodate a desired percentage of the targeted population by a design. The cases are defined based on anthropometric data that represents the targeted population. Approaches that define cases based on the variation within just one body measurement are poor for most design problems in representing anthropometric diversity. Hence, the consideration of variation within several body measurements is preferred. However, an approach that is based on performing several separate studies of the variation within a number of measurements leads to undesired reduction of accommodation due to the lack of consideration of the effects of correlations between measurements. This paper compares theoretical accommodation levels when using an ellipsoid versus a cuboid based approach for defining boundary cases to represent anthropometric variation within three body measurements. The ellipsoid approach considers correlations between body measurements whereas the cuboid approach does not consider correlations between body measurements. The paper suggests the application of the ellipsoid method for defining boundary cases for better reaching desired accommodation levels in boundary case based design problems. These cases can be used to define computer manikins when using digital human modelling tools. The method is also applicable when wishing to select extreme but representative real people to be involved in physical fitting trials.

  • 14.
    Högberg, Dan
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Brolin, Erik
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Industrial Development, Scania CV.
    Concept of Formalized Test Procedure for Proactive Assessment of Ergonomic Value by Digital Human Modelling Tools in Lean Product Development2018In: Advances in Human Factors in Simulation and Modeling: Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling / [ed] Cassenti, Daniel N., Cham, Switzerland: Springer, 2018, Vol. 591, p. 425-436Conference paper (Refereed)
    Abstract [en]

    A concept of a formalized test procedure for proactive assessment of ergonomic value by digital human modelling (DHM) tools in lean product development (LPD) is proposed and described. The objective of the formalized procedure is to integrate the utilization of DHM tools in LPD and to support the delivery of ergonomic value and reduce waste in product and production development processes. A design process model is illustrated and described, and examples are given of how to specify and work with ergonomic value in the process.

  • 15.
    Högberg, Dan
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Bohlin, Robert
    Fraunhofer-Chalmers Centre.
    Carlson, Johan S.
    Fraunhofer-Chalmers Centre.
    Creating and shaping the DHM tool IMMA for ergonomic product and production design2016In: International Journal of the Digital Human, ISSN 2046-3375, Vol. 1, no 2, p. 132-152Article in journal (Refereed)
    Abstract [en]

    The history, status and outlook of the research and development actions associated with the creation of the digital human modelling tool intelligently moving manikins (IMMA) are described. The underlying fundamental concepts are described and research and development results so far are illustrated or referred to. Two case studies illustrating use of IMMA on industry-based problems are described. The paper also covers reflections on conceptions for prospective DHM tool developments from a general perspective, relating to areas of ergonomics and design methodology, as well as describing some of the plans for further developments and applications of the IMMA tool. These may be of assistance when identifying challenges for future research and development of DHM tools that are used in product and production design processes in industry.

  • 16.
    Högberg, Dan
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Ruiz Castro, Pamela
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Mårdberg, Peter
    University of Skövde, School of Engineering Science. Fraunhofer-Chalmers Centre, Gothenburg.
    Delfs, Niclas
    Fraunhofer-Chalmers Centre, Gothenburg.
    Nurbo, Pernilla
    Volvo Car Corporation, Gothenburg.
    Fragoso, Paulo
    Scania CV, Södertälje.
    Andersson, Lina
    Volvo Trucks, Gothenburg.
    Brolin, Erik
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    DHM Based Test Procedure Concept for Proactive Ergonomics Assessments in the Vehicle Interior Design Process2018In: Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume V: Human Simulation and Virtual Environments / [ed] Sebastiano BagnaraRiccardo TartagliaSara AlbolinoThomas AlexanderYushi Fujita, Cham, Switzerland: Springer, 2018, Vol. 822, p. 314-323Conference paper (Refereed)
    Abstract [en]

    The development of a digital human modelling (DHM) based test procedure concept for the assessment of physical ergonomics conditions in virtual phases of the vehicle interior design process is illustrated and discussed. The objective of the test procedure is to be a valuable tool for ergonomic evaluations and decision support along the design process, so that ergonomic issues can be dealt with in an efficient, objective and proactive manner. The test procedure is devised to support companies in having stable and objective processes, in accordance with lean product development (LPD) philosophies. The overall structure and fundamental functionality of the test procedure concept is explained by a simplified use case, utilizing the DHM tool IPS IMMA to: define manikin families and manikin tasks; predict manikin motions; and visualize simulations and ergonomics evaluation outcomes.

  • 17.
    Iriondo Pascual, Aitor
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Kolbeinsson, Ari
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Ruiz Castro, Pamela
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Mahdavian, Nafise
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Scania CV, Södertalje, Sweden.
    Proposal of an Intuitive Interface Structure for Ergonomics Evaluation Software2018In: Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume VIII: Ergonomics and Human Factors in Manufacturing, Agriculture, Building and Construction, Sustainable Development and Mining / [ed] Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita, Cham: Springer, 2018, Vol. 825, p. 289-300Conference paper (Refereed)
    Abstract [en]

    Nowadays, different technologies and software for ergonomics evaluations are gaining greater relevance in the field of ergonomics and production development. The tools allow users such as ergonomists and engineers to perform assessments of ergonomic conditions of work, both related to work simulated in digital human modelling (DHM) tools or based on recordings of work performed by real operators. Regardless of approach, there are many dimensions of data that needs to be processed and presented to the users.

    The users may have a range of different expectations and purposes from reading the data. Examples of situations are to: judge and compare different design solutions; analyse data in relation to anthropometric differences among subjects; investigate different body regions; assess data based on different time perspectives; and to perform assessments according to different types of ergonomics evaluation methods. The range of different expectations and purposes from reading the data increases the complexity of creating an interface that considers all the necessary tools and functions that the users require, while at the same time offer high usability.

    This paper focuses on the structural design of a flexible and intuitive interface for an ergonomics evaluation software that possesses the required tools and functions to analyse work situations from different perspectives, where the data input can be either from DHM tools or from real operators while performing work. 

  • 18.
    Iriondo Pascual, Aitor
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Brolin, Erik
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Scania CV, Södertälje, Sweden.
    Application of Multi-objective Optimization on Ergonomics in Production: A Case Study2020In: Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping: Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, July 24-28, 2019, Washington D.C., USA / [ed] Massimo Di Nicolantonio, Emilio Rossi, Thomas Alexander, Springer, 2020, p. 584-594Conference paper (Refereed)
    Abstract [en]

    Taking a holistic perspective is central in production development, aiming to optimize ergonomics and overall production system performance. Hence, there is a need for tools and methods that can support production companies to identify the production system alternatives that are optimal regarding both ergonomics and production efficiency. The paper presents a devised case study where multi-objective optimization is applied, as a step to towards the development of such an optimization tool. The overall objective in the case study is to find the best order in which an operator performs manual tasks during a workday, considering ergonomics and production system efficiency simultaneously. More specifically, reducing the risk of injury from lifting tasks and improving the throughput are selected as the two optimization objectives. An optimization tool is developed, which communicates with a digital human modelling tool to simulate work tasks and assess ergonomics. 

  • 19.
    Lind, Carl Mikael
    et al.
    Unit of Occupational Medicine, Karolinska Institutet, Stockholm, Sweden / Division of Ergonomics, KTH Royal Institute of Technology, Huddinge, Sweden.
    Sandsjö, Leif
    Faculty of Caring Science, Work Life and Social Welfare, University of Borås, Sweden / Design & Human Factors, Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden.
    Mahdavian, Nafise
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Scania CV, Södertälje, Sweden.
    Olivares, Jozé Antonio Diaz
    Division of Ergonomics, KTH Royal Institute of Technology, Huddinge, Sweden.
    Yang, Liyun
    Unit of Occupational Medicine, Karolinska Institutet, Stockholm, Sweden / Division of Ergonomics, KTH Royal Institute of Technology, Huddinge, Sweden.
    Forsman, Mikael
    Unit of Occupational Medicine, Karolinska Institutet, Stockholm, Sweden / Division of Ergonomics, KTH Royal Institute of Technology, Huddinge, Sweden.
    Prevention of Work: Related Musculoskeletal Disorders Using Smart Workwear – The Smart Workwear Consortium2019In: Human Systems Engineering and Design: Proceedings of the 1st International Conference on Human Systems Engineering and Design (IHSED2018): Future Trends and Applications, October 25-27, 2018, CHU-Université de Reims Champagne-Ardenne, France / [ed] Tareq Ahram, Waldemar Karwowski, Redha Taiar, Springer, 2019, Vol. 876, p. 477-483Conference paper (Refereed)
    Abstract [en]

    Adverse work-related physical exposures such as repetitive movements and awkward postures have negative health effects and lead to large financial costs. To address these problems, a multi-disciplinary consortium was formed with the aim of developing an ambulatory system for recording and analyzing risks for musculoskeletal disorders utilizing textile integrated sensors as part of the regular workwear. This paper presents the consortium, the Smart Workwear System, and a case study illustrating its potential to decrease adverse biomechanical exposure by promoting improved work technique. 

  • 20.
    Mahdavian, Nafise
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Lind, Carl Mikael
    Unit of Occupational medicine, Karolinska Institutet, Stockholm, Sweden / Division of Ergonomics, KTH Royal Institute of Technology, Huddinge, Sweden.
    Diaz Olivares, Jose Antonio
    Division of Ergonomics, KTH Royal Institute of Technology, Huddinge, Sweden.
    Iriondo Pascual, Aitor
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Brolin, Erik
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Yang, Liyun
    Unit of Occupational medicine, Karolinska Institutet, Stockholm, Sweden / Division of Ergonomics, KTH Royal Institute of Technology, Huddinge, Sweden.
    Forsman, Mikael
    Unit of Occupational medicine, Karolinska Institutet, Stockholm, Sweden / Division of Ergonomics, KTH Royal Institute of Technology, Huddinge, Sweden.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Scania CV, Södertälje, Sweden.
    Effect of Giving Feedback on Postural Working Techniques2018In: Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden / [ed] Peter Thorvald, Keith Case, Amsterdam, Netherlands: IOS Press, 2018, p. 247-252Conference paper (Refereed)
    Abstract [en]

    Working postures and movements affect work efficiency and musculoskeletal health. To reduce the biomechanical exposure in physically demanding settings, working techniques may be improved by giving instant ergonomic feedback to the operator. This study investigates if feedback can be used to decrease adverse postures and movements in assembly work. A prototype solution of a smart textile workwear was used on a trainee assembly line. Posture and movement signals of 24 trainee operators were sampled via the workwear, transferred to a tablet for analyses and used to provide feedback suggesting improvements of work technique. Two modes of feedback were tested. Every participant’s work technique was measured before and after receiving the feedback and the results were compared. For upper arm elevation angle ≥60, behaviour change is indicated, supporting a positive work technique change, and indicated a future usefulness of technical automatic feedback for operators.

  • 21.
    Mahdavian, Nafise
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Ruiz Castro, Pamela
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Brolin, Erik
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Industrial Development, Scania, Södertälje, Sweden.
    Digital human modelling in a virtual environment of CAD parts and a point cloud2017In: Proceedings of the 5th International Digital Human Modeling Symposium / [ed] Sascha Wischniewski & Thomas Alexander, Federal Institute for Occupational Safety and Health , 2017, p. 283-291Conference paper (Refereed)
    Abstract [en]

    Manual assembly is a time and cost consuming phase of production. It is crucial to design the assembly process so that overall system efficiency, quality output and human well-being meet desired levels. Since manual assembly involve humans, one support in the production design process is to use digital human modelling (DHM) tools to model and assess different design scenarios prior to the actual production process. In the traditional way, various CAD tools are used by engineers to model the production layout and the workstations. Then, these models typically are imported into a DHM tool to simulate human work, and to apply ergonomic evaluation methods on the simulated work tasks. This work, supported by CAD and DHM, can be a time consuming and iterative process as precise information and measurements of the actual assembly environment are needed, e.g. related to actual geometries of factory premises or of facilities surrounding the workstations. However, introducing point cloud scanning technology can provide the user with a more correct and realistic virtual representation of the environment, which allows for a faster and more precise design process.The aim of this paper is to present the developments and capabilities of the DHM tool IPS IMMA (Intelligently Moving Manikins) in an assembly process and in a virtual environment provided by point cloud scanning.

  • 22.
    Ore, Fredrik
    et al.
    Mälardalen University, Eskilstuna / Scania CV AB, Södertälje.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Chalmers University of Technology / Scania CV AB, Södertälje.
    Delfs, Niclas
    Fraunhofer-Chalmers Centre, Göteborg.
    Wiktorsson, Magnus
    Mälardalen University, Eskilstuna.
    Human Industrial Robot Collaboration – development and application of simulation software2015In: International Journal of Human Factors Modelling and Simulation, ISSN 1742-5557, Vol. 5, no 2, p. 164-185Article, review/survey (Refereed)
    Abstract [en]

    Human industrial robot collaboration (HIRC) aims to combine the benefits of industrial robots with humans in production environments. This is a growing research field where most work focuses on the safety aspects, while little research is performed on simulation and visualisation. The aim of this paper is to present a demonstrator software for simulation, visualisation and evaluation of human industrial robot collaboration.

    Two simulation software products were combined to reach this goal. The new tool was then applied to two industrial assembly cases where productivity and biomechanical loads on humans were calculated. The resulting demonstrator software simulates and visualises human industrial robot collaboration. The quantitative output from the simulation makes it possible to compare HIRC, manual and robotic assembly stations in terms of productivity and ergonomics.

  • 23.
    Ore, Fredrik
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Eskilstuna, Sweden / Scania CV AB, Global Industrial Development, Södertälje, Sweden.
    Hansson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Scania CV AB, Global Industrial Development, Södertälje, Sweden / Chalmers University of Technology, Department of Product and Production Development, Gothenburg, Sweden.
    Wiktorsson, Magnus
    Mälardalen University, School of Innovation, Design and Engineering, Eskilstuna, Sweden.
    Method for design of human-industrial robot collaboration workstations2017In: Procedia Manufacturing, E-ISSN 2351-9789, Vol. 11, p. 4-12Article in journal (Refereed)
    Abstract [en]

    In order to fully utilise a 3D simulation software capable of evaluating hand-guided human-industrial robot collaborative (HIRC) work tasks, there is a need of a HIRC design process for early production development stages. This paper proposes a HIRC design method that uses the possibilities of the demonstrator software in the HIRC workstation design process. The method is based on Pahl and Beitz's engineering design method; it interprets all their phases and activities into HIRC design-specific ones.

  • 24.
    Ore, Fredrik
    et al.
    School of Innovation, Design and Engineering, Mälardalen University, Eskilstuna / Scania CV AB, Global Industrial Development, Södertälje, Sweden.
    Vemula, Bhanoday
    School of Innovation, Design and Engineering, Mälardalen University, Eskilstuna.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Scania CV AB, Global Industrial Development, Södertälje / Department of Industrial and Materials Science, Chalmers University of Technology, Göteborg.
    Wiktorsson, Magnus
    School of Innovation, Design and Engineering, Mälardalen University, Eskilstuna.
    Fagerström, Björn
    School of Innovation, Design and Engineering, Mälardalen University, Eskilstuna.
    Simulation methodology for performance and safety evaluationof human–industrial robot collaboration workstation design2019In: International Journal of Intelligent Robotics and Applications, ISSN 2366-5971Article in journal (Refereed)
    Abstract [en]

    There is a strong interest in the scope of human–industrial robot collaboration (HIRC) in manufacturing industry for greater flexibility and productivity. However, HIRC in manufacturing is still in its infancy; industrial practitioners have many apprehensions and uncertainties concerning the system’s performance and human operators’ safety. Therefore, there is a need for investigations into design processes and methods to make sure the designed HIRC workstations successfully meet design guidelines on system performance, human safety and ergonomics for practical industrial applications. This research proposes a HIRC workstation design process. The novelty of this design process is the methodology to evaluate the HIRC workstation design alternatives by considering both performance and safety characteristics through computer-based simulations. As a proof of concept, the proposed HIRC design process is applied on an industrial manufacturing case from a heavy-vehicle manufacturing company.

  • 25.
    Ore, Fredrik
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Eskilstuna, Sweden / Scania CV AB, Global Industrial Development, Södertälje, Sweden.
    Vemula, Bhanoday Reddy
    Mälardalen University, School of Innovation, Design and Engineering, Eskilstuna, Sweden.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Scania CV AB, Global Industrial Development, Södertälje, Sweden / Chalmers University of Technology, Product and Production Development, Göteborg, Sweden.
    Wiktorsson, Magnus
    Mälardalen University, School of Innovation, Design and Engineering, Eskilstuna, Sweden.
    Human - Industrial Robot Collaboration: Application of simulation software for workstation optimisation2016In: 6th CIRP Conference on Assembly Technologies and Systems (CATS) / [ed] Rikard Söderberg, Elsevier, 2016, Vol. 44, p. 181-186Conference paper (Refereed)
    Abstract [en]

    The simulation possibilities of Human Industrial Robot Collaboration (HIRC) are limited in commercial software and published research. In order to meet this a demonstrator software has been developed. This paper presents the combination of the quantitative output from the software (measuring operation time and biomechanical load) together with existing optimisation techniques used to design the optimal HIRC workstation. An industrial case is used as an example where the optimal geometric handover position between robot and human is found. From the simulation software metamodels were created in order to represent the investigated workstation. The model was used in a multi-objective optimisation problem and resulted in a trade-off chart between operation time and biomechanical load. The result shows one example of the possibilities to combine the quantitative results from the simulation with optimisation in order to get the best solution to a HIRC design problem. (C) 2016 The Authors. Published by Elsevier B.V.

  • 26.
    Rhén, Ida-Märta
    et al.
    Department of Industrial and Materials Science, Chalmers University of Technology.
    Forsman, Mikael
    IMM Institute of Environmental Medicine, Karolinska Institutet.
    Örtengren, Roland
    Department of Industrial and Materials Science, Chalmers University of Technology.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Keyvani, Ali
    Robotics and Automation, Virtual Manufacturing AB, Göteborg.
    Lämkull, Dan
    Global Strategy and Process Development, Volvo Car Corporation, Manufacturing Engineering, Göteborg.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Industrial Development, Scania CV, Södertälje / Department of Industrial and Materials Science, Chalmers University of Technology.
    Ergonomic risk assessment in DHM tools employing motion data: Exposure calculation and comparison to epidemiological reference data2018In: International Journal of Human Factors Modelling and Simulation, ISSN 1742-5549, Vol. 6, no 1, p. 31-64Article in journal (Refereed)
    Abstract [en]

    Digital human modelling (DHM) allows ergonomic risk assessment to be performed at early stages of design and development. Such assessment is typically based on observational methods, which do not take advantage of the potential of DHM tools to provide precise posture and motion data. This paper describes and illustrates an alternative assessment approach employing DHM tools, inspired by risk assessment based on direct measurements. A literature survey established a reference database of epidemiological associations between exposure and wrist-related disorders. This approach is illustrated by a DHM simulation of a car assembly task. Wrist posture and motion were simulated and compared to the database, predicting the prevalence of work-related musculoskeletal disorders on the basis of direct measurements.

  • 27.
    Ruiz Castro, Pamela
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Ramsen, Håkan
    Volvo Trucks, Gothenburg, Sweden.
    Bjursten, Jenny
    Volvo Trucks, Gothenburg, Sweden.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Industrial Development, Scania, Södertälje, Sweden.
    Virtual Simulation of Human-Robot Collaboration Workstations2019In: Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume V: Human Simulation and Virtual Environments, Work With Computing Systems (WWCS), Process Control / [ed] Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita, Springer, 2019, Vol. 822, p. 250-261Conference paper (Refereed)
    Abstract [en]

    The constant call in manufacturing for higher quality, efficiency, flexibility and cost effective solutions has been supported by technology developments and revised legislations in the area of collaborative robots. This allows for new types of workstations in industry where robots and humans co-operate in performing tasks. In addition to safety, the design of such collaborative workstations needs to consider the areas of ergonomics and task allocation to ensure appropriate work conditions for the operators, while providing overall system efficiency. The aim of this study is to illustrate the development and use of an integrated robot simulation and digital human modelling (DHM) tool, which is aimed to be a tool for engineers to create and confirm successful collaborative workstations. An assembly scenario from the vehicle industry was selected for its redesign into a collaborative workstation. The existing scenario as well as potential collaborative concepts are simulated and assessed using a version of the simulation tool IPS IMMA. The assembly use case illustrates the capabilities of the tool to represent and evaluate collaborative workstations in terms of ergonomics and efficiency assessments.

  • 28.
    Ruiz Castro, Pamela
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Mahdavian, Nafise
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Brolin, Erik
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Industrial Development, Scania, Södertälje, Sweden.
    IPS IMMA for designing human-robot collaboration workstations2017In: Proceedings of the 5th International Digital Human Modeling Symposium / [ed] Sascha Wischniewski & Thomas Alexander, Federal Institute for Occupational Safety and Health , 2017, p. 263-273Conference paper (Refereed)
    Abstract [en]

    The global competition has forced manufacturing companies to further increase their productivity. This, together with technology development and changes in regulations, have led to the introduction of new types of workstations in production lines, where human operators collaborate with industrial robots to perform work tasks. As any type of product, these workstations need to be designed in the most optimal way to deliver the expected value. In the design process of these collaborative workstations, separate virtual simulations of industrial robots and human operators can be made with multiple commercial software. Separate simulations reduce the efficiency of the design process and makes it harder to identify successful design solutions. Hence, there is a need for software tools that are capable of simultaneous simulation of the human-robot collaboration in a workstation. Providing engineers with such tools will assist their tasks to optimize the human and robot workflow, while proactively ensuring proper ergonomic conditions for operators.This paper describes and illustrates how the digital human modelling (DHM) tool IPS IMMA can aid in the design of human-robot collaboration workstations. A use case where the human operator collaborates with a robot to produce a section of a pedal car in a virtual scenario is described. The use case illustrates the current capabilities and limitations of the software to simulate human-robot collaborations in workstations. Hence, the use case aims to provide input for further development of DHM tools aimed to assist the design of human-robot collaboration workstations.

  • 29.
    Wiktorsson, Magnus
    et al.
    KTH Royal Insitute of Technology, Dept of Sustainable Production Development, Södertälje, Sweden.
    Noh, Sang Do
    Sungkyunkwan University, Dept of Industrial Engineering, Suwon, South Korea.
    Bellgran, Monica
    KTH Royal Insitute of Technology, Dept of Sustainable Production Development, Södertälje, Sweden.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Scania CV, Global Industrial Development, Södertälje, Sweden.
    Smart Factories: South Korean and Swedish examples on manufacturing settings2018In: Procedia Manufacturing, E-ISSN 2351-9789, Vol. 25, p. 471-478Article in journal (Refereed)
    Abstract [en]

    What constitutes a company's capabilities to develop a Smart Factory? South Korean and Swedish perspectives are here illustrated by company examples of smart factory solutions and related strategic aspects of their digitalization. It is concluded that the "smart-factory-capability" of a manufacturing company is integrated with its corporate production systems and includes perspectives on application areas, value adding processes as well as enabling technologies. It is furthermore challenged by the transformational inabilities of legacy systems. By its concrete examples is use and financial benefits, the paper contributes to the definition of the smart factory and its corresponding development scheme. 

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