Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Implementation of Ergonomics Evaluation Methods in a Multi-Objective Optimization Framework
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design (UCPD))ORCID iD: 0000-0002-3129-7076
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design (UCPD))ORCID iD: 0000-0003-4596-3815
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Production and Automation Engineering)ORCID iD: 0000-0003-3973-3394
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design (UCPD))
Show others and affiliations
2020 (English)In: DHM2020: Proceedings of the 6th International Digital Human Modeling Symposium, August 31 - September 2, 2020 / [ed] Lars Hanson; Dan Högberg; Erik Brolin, Amsterdam: IOS Press, 2020, p. 361-371Conference paper, Published paper (Refereed)
Abstract [en]

Simulations of future production systems enable engineers to find effective and efficient design solutions with fewer physical prototypes and fewer reconstructions. This can save development time and money and be more sustainable. Better design solutions can be found by linking simulations to multiobjective optimization methods to optimize multiple design objectives. When production systems involve manual work, humans and human activity should be included in the simulation. This can be done using digital human modeling (DHM) software which simulates humans and human activities and can be used to evaluate ergonomic conditions. This paper addresses challenges related to including existing ergonomics evaluation methods in the optimization framework. This challenge arises because ergonomics evaluation methods are typically developed to enable people to investigate ergonomic conditions by observing real work situations. The methods are rarely developed to be used by computer algorithms to draw conclusions about ergonomic conditions. This paper investigates how to adapt ergonomics evaluation methods to implement the results as objectives in the optimization framework. This paper presents a use case of optimizing a workstation using two different approaches: 1) an observational ergonomics evaluation method, and 2) a direct measurement method. Both approaches optimized two objectives: the average ergonomics results, and the 90th percentile ergonomics results.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2020. p. 361-371
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 11
Keywords [en]
Ergonomics, Optimization, DHM, Simulation
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Production and Automation Engineering; VF-KDO
Identifiers
URN: urn:nbn:se:his:diva-19010DOI: 10.3233/ATDE200044ISI: 000680825700037Scopus ID: 2-s2.0-85091200988ISBN: 978-1-64368-105-4 (electronic)ISBN: 978-1-64368-104-7 (print)OAI: oai:DiVA.org:his-19010DiVA, id: diva2:1464833
Conference
6th International Digital Human Modeling Symposium, August 31 - September 2, 2020, Skövde, Sweden
Part of project
Synergy Virtual Ergonomics (SVE), Knowledge FoundationMOSIM – Modular Simulation of Natural Human Motions, VinnovaVirtual factories with knowledge-driven optimization (VF-KDO), Knowledge Foundation
Funder
Vinnova, 41466Knowledge Foundation, 20180167
Note

CC BY-NC 4.0

Funder: Knowledge Foundation and the INFINIT research environment (KKS Dnr. 20180167). This work has been made possible with support from ITEA3 in the project MOSIM, and with the support from the Knowledge Foundation and the associated INFINIT research environment at the University of Skövde, within the Virtual Factories – KnowledgeDriven Optimization (VF-KDO) research profile and the Synergy Virtual Ergonomics (SVE) project, and by the participating organizations. This support is gratefully acknowledged.

Available from: 2020-09-08 Created: 2020-09-08 Last updated: 2024-08-28Bibliographically approved
In thesis
1. Simulation-based multi-objective optimization of productivity and worker well-being
Open this publication in new window or tab >>Simulation-based multi-objective optimization of productivity and worker well-being
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In industry, simulation software is used to simulate production, making it possible to predict events in production, calculate times and plan production, even in the early phases of the production development process. Software known as digital human modelling (DHM) tools can also be used to simulate humans working in production. When simulating digital human models, ergonomics evaluations can be carried out to assess whether workstation designs offer appropriate ergonomic conditions for the workers. However, simulations performed to predict and plan production are usually done separately from the human simulations performed to evaluate ergonomics. This can lead to suboptimal solutions in which a factory is optimized to improve either productivity or ergonomics. This thesis outlines the hypothesis that more optimal solutions for workstation design, layout and line balancing can be obtained in simulations by optimizing productivity and ergonomic factors simultaneously instead of considering them separately. Hence, the aim is to carry out research on the development of a simulation-based multi-objective optimization method for productivity and ergonomic factors and to realize the method as a software tool in order to test and communicate it. From an application and societal-impact perspective, the overall objective is to offer a new approach for designing production systems that focuses on both over-all system performance and the well-being of workers, reduces the effort of engineers and helps industry create more productive and sustainable workspaces.

Abstract [sv]

Simuleringsverktyg används i industrin för att simulera produktion. Det gör det möjligt att förutsäga händelser, uppskatta tider och planera produktionen, även i tidiga stadier av produktionsutvecklingsprocessen. På motsvarande vis används ergonomisimuleringsverktyg för att simulera människor som arbetar i produktionen. Ergonomisimulering kan till exempel utföras för att bedöma om utformningen av arbetsstationen erbjuder lämpliga ergonomiska förhållanden för arbetarna. Emellertid görs produktionssimuleringar vanligtvis separat från ergonomisimuleringar. Det kan leda till bristfälliga lösningar där en fabrik är optimerad för att förbättra antingen produktivitet eller ergonomi. Denna avhandling utgår från hypotesen att mer optimala lösningar för arbetsstationsutformning, layout och linje-balansering kan uppnås i simuleringar genom att samtidigt optimera produktivitetsfaktorer och ergonomiska faktorer istället för att beakta dem separat. Målet är därför att utforska utvecklingen av en simulerings- och flermålsbaserad optimeringsmetod för produktivitetsfaktorer och ergonomiska faktorer och att realisera metoden som ett mjukvaruverktyg för att testa och beskriva den. Ur ett tillämpnings- och samhällspåverkansperspektiv är det övergripande målet att erbjuda ett nytt tillvägagångssätt för att utforma produktionssystem som fokuserar på både systemprestanda och människans välbefinnande, som stödjer ingenjörer i deras dagliga arbete för att hitta goda lösningar, och hjälper industrin att skapa mer produktiva och hållbara arbetsplatser.

Place, publisher, year, edition, pages
Skövde: University of Skövde, 2023. p. xii, 79, [125]
Series
Dissertation Series ; 56
Keywords
Ergonomics, Productivity, Optimization, Simulation
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; VF-KDO
Identifiers
urn:nbn:se:his:diva-23360 (URN)978-91-987907-0-2 (ISBN)
Public defence
2023-12-21, ASSAR Industrial Innovation Arena (stora scenen/main stage) & online, Skövde, 09:00 (English)
Opponent
Supervisors
Available from: 2023-11-20 Created: 2023-11-14 Last updated: 2024-08-14Bibliographically approved

Open Access in DiVA

fulltext(1745 kB)764 downloads
File information
File name FULLTEXT02.pdfFile size 1745 kBChecksum SHA-512
3c67dd4a2b29ae271ca5fceb8eef7504e37810f20875dda69e9250eb23392b067547b09271276e3138e95840d039da50a644770401babf05cd1c2f5a75d5cde4
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Iriondo Pascual, AitorHögberg, DanSyberfeldt, AnnaGarcía Rivera, FranciscoPérez Luque, EstelaHanson, Lars

Search in DiVA

By author/editor
Iriondo Pascual, AitorHögberg, DanSyberfeldt, AnnaGarcía Rivera, FranciscoPérez Luque, EstelaHanson, Lars
By organisation
School of Engineering ScienceVirtual Engineering Research Environment
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar
Total: 765 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 1789 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf