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Bergman, Christian
Publications (5 of 5) Show all publications
Bergman, C., Ruiz Castro, P., Högberg, D. & Hanson, L. (2015). Implementation of Suitable Comfort Model for Posture and Motion Prediction in DHM Supported Vehicle Design. Paper presented at 6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015), Las Vegas, USA, 26-30 July 2015. Procedia Manufacturing, 3, 3753-3758
Open this publication in new window or tab >>Implementation of Suitable Comfort Model for Posture and Motion Prediction in DHM Supported Vehicle Design
2015 (English)In: Procedia Manufacturing, ISSN 2351-9789, Vol. 3, p. 3753-3758Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Elsevier, 2015
Keywords
Occupant packaging, DHM, Comfort model
National Category
Other Engineering and Technologies
Research subject
Technology; User Centred Product Design
Identifiers
urn:nbn:se:his:diva-11673 (URN)10.1016/j.promfg.2015.07.816 (DOI)000383740303120 ()2-s2.0-85009997703 (Scopus ID)
Conference
6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015), Las Vegas, USA, 26-30 July 2015
Projects
Virtual Driver
Funder
Knowledge Foundation, 20140296
Available from: 2015-11-12 Created: 2015-11-12 Last updated: 2018-12-28Bibliographically approved
Bergman, C., Ruiz Castro, P., Högberg, D. & Hanson, L. (2015). Implementation of Suitable Comfort Model for Posture and Motion Prediction in DHM Supported Vehicle Design. In: Proceedings of the 6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015): . Paper presented at 6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015), Las Vegas, USA, 26-30 July 2015. AHFE
Open this publication in new window or tab >>Implementation of Suitable Comfort Model for Posture and Motion Prediction in DHM Supported Vehicle Design
2015 (English)In: Proceedings of the 6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015), AHFE , 2015Conference paper, Published 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.

Place, publisher, year, edition, pages
AHFE, 2015
Keywords
Occupant packaging, DHM, Comfort model
National Category
Other Engineering and Technologies
Research subject
Technology; User Centred Product Design
Identifiers
urn:nbn:se:his:diva-11402 (URN)1495160424 (ISBN)
Conference
6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015), Las Vegas, USA, 26-30 July 2015
Funder
Knowledge Foundation, 20140296
Available from: 2015-08-22 Created: 2015-08-22 Last updated: 2019-03-08Bibliographically approved
Bergman, C., Högberg, D., Bäckstrand, G. & Moestam, L. (2014). A Library Based Tool to Assist the Generative Activity in Workstation Design. In: Francisco Rebelo and Marcelo Soares (Ed.), Advances in Ergonomics in Design, Usability & Special Populations: Part II. Paper presented at 5th International Conference on Applied Human Factors and Ergonomics (AHFE2014), Krakow, Poland, 19-23 July 2014 (pp. 206-214). AHFE Conference
Open this publication in new window or tab >>A Library Based Tool to Assist the Generative Activity in Workstation Design
2014 (English)In: Advances in Ergonomics in Design, Usability & Special Populations: Part II / [ed] Francisco Rebelo and Marcelo Soares, AHFE Conference , 2014, p. 206-214Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
AHFE Conference, 2014
Keywords
Library based design, Decision support, Ergonomics, Workstation, Proactive approach
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Technology; User Centred Product Design
Identifiers
urn:nbn:se:his:diva-10038 (URN)978-1-4951-2107-4 (ISBN)
Conference
5th International Conference on Applied Human Factors and Ergonomics (AHFE2014), Krakow, Poland, 19-23 July 2014
Projects
Lean & Green Production Navigator
Funder
VINNOVA
Available from: 2014-10-01 Created: 2014-10-01 Last updated: 2018-11-15Bibliographically approved
Bergman, C., Bäckstrand, G., Högberg, D. & Moestam, L. (2013). A tool to assist and evalute workstation design. In: Proceedings of NES 2013, 45th Nordic Ergonomics & Human Factors Society conference, Iceland, August 2013: . Paper presented at NES 2013, 45th Nordic Ergonomics & Human Factors Society conference, Reykjavík, Iceland, August 11-14th 2013.
Open this publication in new window or tab >>A tool to assist and evalute workstation design
2013 (English)In: Proceedings of NES 2013, 45th Nordic Ergonomics & Human Factors Society conference, Iceland, August 2013, 2013Conference paper, Published paper (Refereed)
Abstract [en]

It can be argued that it is common that industrial workstations are “built” rather than purposefully designed with user and task requirements in mind. Afterwards, built-in problems typically need to be corrected, causing undesired costs and efforts. With the objective to assist workstation designers in avoiding most problems already in the design phase, a design support tool is being developed. The paper argues the need for such a tool and presents the fundamental tool functionality. Expected advantages are more efficient and ergonomic workstations and a more efficient design process with built-in learning and documentation.

Keywords
Production, Ergonomics, Lean, Workstation, Design
National Category
Engineering and Technology
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-8586 (URN)978-9979-72-397-4 (ISBN)
Conference
NES 2013, 45th Nordic Ergonomics & Human Factors Society conference, Reykjavík, Iceland, August 11-14th 2013
Available from: 2013-10-28 Created: 2013-10-28 Last updated: 2017-11-27Bibliographically approved
Bäckstrand, G., Bergman, C., Högberg, D. & Moestam, L. (2013). Lean and its impact on workplace design. In: Proceedings of NES 2013, 45th Nordic Ergonomics & Human Factors Society conference, Iceland, August 2013: . Paper presented at NES 2013, 45th Nordic Ergonomics & Human Factors Society conference, Reykjavík, Iceland, August 11-14th 2013.
Open this publication in new window or tab >>Lean and its impact on workplace design
2013 (English)In: Proceedings of NES 2013, 45th Nordic Ergonomics & Human Factors Society conference, Iceland, August 2013, 2013Conference paper, Published paper (Refereed)
Abstract [en]

Lean analyses and following corrections of workstations are typically performed reactively, i.e. solving problems that already exist. However, there are benefits of enhanced proactivity related to the consideration of lean and human factors, as this would reduce the need for updating workstations. The approach presented here utilises a company specific, reactive lean evaluation methodology, but applied proactively, in the workstation design phase. Results gave that many assessment items in fact can be proactively addressed. This way, ergonomic and lean workstations that support quality, performance and wellbeing for a diversity of workers, can be built right the first time.

Keywords
Production, Ergonomics, Lean, Workstation, Design
National Category
Engineering and Technology
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-8587 (URN)978-9979-72-397-4 (ISBN)
Conference
NES 2013, 45th Nordic Ergonomics & Human Factors Society conference, Reykjavík, Iceland, August 11-14th 2013
Available from: 2013-10-29 Created: 2013-10-29 Last updated: 2017-11-27Bibliographically approved
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