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Title [sv]
MOSIM – Modular Simulation of Natural Human Motions
Title [en]
MOSIM – Modular Simulation of Natural Human Motions
Abstract [sv]
Visionen för MOSIM-projektet är ett öppet modulärt ramverk för effektiv och interaktiv simulering och analys av realistiska mänskliga rörelser för professionella tillämpningar. Verksamheter inom digital modellering, i synnerhet simulering av mänskliga rörelser, har under de senaste årtiondena trätt fram inom olika sektorer av den europeiska ekonomin, alltifrån bilar och lastbilar, hälso- och sjukvård, byggindustri och simulering av gångtrafikanter till spelindustrin. Även om syftet varierar har förmågan att realistiskt förutsäga observationer av den verkliga världen visat sig vara en nyckelteknik för bibehållen konkurrenskraft. För mekaniska och mekatroniska komponenter denna trend täckas redan av olika forskningsprojekt kring smarta fabriker. Å andra sidan har kommersiella verktyg ännu inte klarat av att genera en tillräckligt rik repertoar av realistiska mänskliga rörelser i komplexa miljöer med hög kollisionspotential. Komplexa processflöden, med ett avsevärt antal möjliga manuella arbetssekvenser, kan dessutom endast delvis hanteras i dagsläget eftersom processvarianter måste modelleras för hand. Eftersom manuell modellering ofrånkomligen leder till extraarbete blir den potentiella kostnadsminskningen avsevärd. För att kunna introducera arbetssätt och programvarulösningar som automatiskt kan simulera en rik repertoar av realistiska mänskliga rörelser syftar MOSIM till att utveckla och implementera ett generiskt koncept som inspirerats av FMI-standarden (Functional Mock-up Interface). MOSIM syftar till att använda idén med co-simulering av modeller från olika simuleringsmiljöer inom fältet för mänsklig simulering genom introduktionen av MMU:er (Motion Model Units). [Koordinerande organisation, Sverige: Volvo Group; för hela projektet: Daimler, Tyskland] Finansiering och samverkan: VINNOVA, Daimler Protics, Dark Amber Softworks, DFKI, ESI Software, Fraunhofer-Chalmers Centre (FCC), Goodbye Kansas Studios, Human Solutions, Högskolan i Skövde, IPS, Lappeenranta University of Technology, MeVEA Ltd, Mimic Productions, Scania, Solme, The Mercedes-Benz Group, TWT GmbH Science & Innovation, Universität Siegen, Virtual Manufacturing Sweden, Volvo Group Trucks Operations (VGTO)
Abstract [en]
Project vision is an open modular framework for efficient and interactive simulation and analysis of realistic human motions for professional applications. Within the European economy, digital modelling activities and the simulation of human motion in particular, have emerged during the last decades in various domains ranging from automotive and truck over healthcare, construction and pedestrian simulation to the gaming industry. Even though differing in their respective scope, the ability to realistically predict real-world observations has shown to be a key technology in order to remain competitive. For mechanical and mechatronic components, this trend is already covered by various research projects related to smart factories. In contrast, the generation of a rich repertoire of realistic human motions in complex and possibly highly collision afflicted environments is not sufficiently addressed by commercial tools, yet. Moreover, complex process workflows with an exhaustive number of possible manual task sequences can only be partly addressed today, since process variants have to be modelled by hand. As manual modelling is inevitably linked with additional effort, the potential cost reduction is significant. In order to introduce approaches and software solutions, which are capable to automatically simulating a rich repertoire of realistic human motions, MOSIM aims to develop and implement a generic concept which is inspired by the Functional Mock-up Interface (FMI) standard. MOSIM transfers the idea of co-simulating models from different simulation environments to the field of human simulation by means of introducing the Motion Model Units (MMU). [Coordinating organization, Sweden: Volvo Group; for the entire project: Daimler, Germany] Funding and collaboration: VINNOVA, Daimler Protics, Dark Amber Softworks, DFKI, ESI Software, Fraunhofer-Chalmers Centre (FCC), Goodbye Kansas Studios, Human Solutions, IPS, Lappeenranta University of Technology, MeVEA Ltd, Mimic Productions, Scania, Solme, The Mercedes-Benz Group, TWT GmbH Science & Innovation, University of Skövde, Universität Siegen, Virtual Manufacturing Sweden, Volvo Group Trucks Operations (VGTO)
Publications (8 of 8) Show all publications
Iriondo Pascual, A. (2023). Simulation-based multi-objective optimization of productivity and worker well-being. (Doctoral dissertation). Skövde: University of Skövde
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
Iriondo Pascual, A., Lind, A., Högberg, D., Syberfeldt, A. & Hanson, L. (2022). Enabling Concurrent Multi-Objective Optimization of Worker Well-Being and Productivity in DHM Tools. In: Amos H. C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm (Ed.), SPS2022: Proceedings of the 10th Swedish Production Symposium. Paper presented at 10th Swedish Production Symposium (SPS2022), Skövde, April 26–29 2022 (pp. 404-414). Amsterdam; Berlin; Washington, DC: IOS Press
Open this publication in new window or tab >>Enabling Concurrent Multi-Objective Optimization of Worker Well-Being and Productivity in DHM Tools
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2022 (English)In: SPS2022: Proceedings of the 10th Swedish Production Symposium / [ed] Amos H. C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm, Amsterdam; Berlin; Washington, DC: IOS Press, 2022, p. 404-414Conference paper, Published paper (Refereed)
Abstract [en]

Work-related musculoskeletal disorders (WMSDs) are often associated with high costs for manufacturing companies and society, as well as negative effects on sustainable working life of workers. To both ensure workers’ well-being and reduce the costs of WMSDs, it is important to consider worker well-being in the design and operations of production processes. To facilitate the simulation of humans in production and improve worker well-being, there are numerous digital human modelling (DHM) tools available on the market. Besides simulation of humans in production, there are numerous production simulation software to simulate production flows of factories, robots and workstations that offer the possibility of improving the productivity of the stations, optimizing the layout and the configuration of the production lines. Despite of the capabilities of DHM and production flow simulation software, there is a lack of tools that can handle an overall optimization perspective, where it is possible to concurrently treat aspects related to both worker well-being and productivity within one tool. This study presents a prescribed tool that enables concurrent multi-objective optimization of worker well-being and productivity in DHM tools by analyzing the impact of different design alternatives. The tool was assessed in a workstation layout optimization use case. In the use case, risk scores of an ergonomics evaluation method was used as a measure of well-being, and total walking distance and workstation area were used as measures of productivity. The results show that the optimized solutions improve both total walking distance, workstation area and ergonomic risk scores compared to the initial solution. This study suggests that the concurrent multi-objective optimization of worker well-being and productivity could generate more optimal solutions for industry and increase the likelihood for a sustainable working life of workers. Therefore, further studies in this field are claimed to be beneficial to industry, society and workers.

Place, publisher, year, edition, pages
Amsterdam; Berlin; Washington, DC: IOS Press, 2022
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 21
Keywords
Ergonomics, production, optimization, layout
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
VF-KDO; User Centred Product Design; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-21101 (URN)10.3233/ATDE220159 (DOI)001191233200034 ()2-s2.0-85132829444 (Scopus ID)978-1-64368-268-6 (ISBN)978-1-64368-269-3 (ISBN)
Conference
10th Swedish Production Symposium (SPS2022), Skövde, April 26–29 2022
Funder
Knowledge Foundation
Note

CC BY-NC 4.0

aitor.iriondo.pascual@his.se

This work has been supported by ITEA3 in the project MOSIM, the Knowledge Foundation and the associated INFINIT research environment at the University of Skövde, within the Virtual Factories with Knowledge-Driven Optimization (VF-KDO) research profile and the Synergy Virtual Ergonomics (SVE) project, and by the participating organizations. Their support is gratefully acknowledged.

Available from: 2022-05-02 Created: 2022-05-02 Last updated: 2024-06-19Bibliographically approved
Iriondo Pascual, A., Smedberg, H., Högberg, D., Syberfeldt, A. & Lämkull, D. (2022). Enabling Knowledge Discovery in Multi-Objective Optimizations of Worker Well-Being and Productivity. Sustainability, 14(9), Article ID 4894.
Open this publication in new window or tab >>Enabling Knowledge Discovery in Multi-Objective Optimizations of Worker Well-Being and Productivity
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2022 (English)In: Sustainability, E-ISSN 2071-1050, Vol. 14, no 9, article id 4894Article in journal (Refereed) Published
Abstract [en]

Usually, optimizing productivity and optimizing worker well-being are separate tasks performed by engineers with different roles and goals using different tools. This results in a silo effect which can lead to a slow development process and suboptimal solutions, with one of the objectives, either productivity or worker well-being, being given precedence. Moreover, studies often focus on finding the best solutions for a particular use case, and once solutions have been identified and one has been implemented, the engineers move on to analyzing the next use case. However, the knowledge obtained from previous use cases could be used to find rules of thumb for similar use cases without needing to perform new optimizations. In this study, we employed the use of data mining methods to obtain knowledge from a real-world optimization dataset of multi-objective optimizations of worker well-being and productivity with the aim to identify actionable insights for the current and future optimization cases. Using different analysis and data mining methods on the database revealed rules, as well as the relative importance of the design variables of a workstation. The generated rules have been used to identify measures to improve the welding gun workstation design.

Place, publisher, year, edition, pages
MDPI, 2022
Keywords
ergonomics, digital human modeling, productivity, simulation, optimization, knowledge discovery
National Category
Production Engineering, Human Work Science and Ergonomics Computer Sciences
Research subject
User Centred Product Design; Production and Automation Engineering; VF-KDO
Identifiers
urn:nbn:se:his:diva-21112 (URN)10.3390/su14094894 (DOI)000794536700001 ()2-s2.0-85129143963 (Scopus ID)
Funder
Vinnova, 2018-02227Knowledge Foundation, 2018-0167
Note

CC BY 4.0

Correspondence: aitor.iriondo.pascual@his.se

Funding: This work has received support from ITEA3/Vinnova in the project MOSIM (2018-02227), and from Stiftelsen för Kunskaps- och Kompetensutveckling within the Synergy Virtual Ergonomics (SVE) project (2018-0167) and the Virtual Factories–Knowledge-Driven Optimization (VF-KDO) research profile (2018-0011). This support is gratefully acknowledged.

Available from: 2022-05-02 Created: 2022-05-02 Last updated: 2024-02-22Bibliographically approved
Iriondo Pascual, A., Högberg, D., Syberfeldt, A., Brolin, E., Perez Luque, E., Hanson, L. & Lämkull, D. (2022). Multi-objective Optimization of Ergonomics and Productivity by Using an Optimization Framework. In: Nancy L. Black; W. Patrick Neumann; Ian Noy (Ed.), Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021): Volume V: Methods & Approaches. Paper presented at 21st Congress of the International Ergonomics Association (IEA 2021), 13-18 June, 2021 (pp. 374-378). Cham: Springer
Open this publication in new window or tab >>Multi-objective Optimization of Ergonomics and Productivity by Using an Optimization Framework
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2022 (English)In: Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021): Volume V: Methods & Approaches / [ed] Nancy L. Black; W. Patrick Neumann; Ian Noy, Cham: Springer, 2022, p. 374-378Conference paper, Published paper (Refereed)
Abstract [en]

Simulation technologies are widely used in industry as they enable efficient creation, testing, and optimization of the design of products and production systems in virtual worlds, rather than creating,testing, and optimizing prototypes in the physical world. In an industrial production context, simulation of productivity and ergonomics helps companies to find and realize optimized solutions that uphold profitability, output, quality, and worker well-being in their production facilities. However, these two types of simulations are typically carried out using separate software, used by different users, with different objectives. This easily causes silo effects, leading to slow development processes and sub-optimal solutions. This paper reports on research related to the realization of an optimization framework that enables the concurrent optimization of aspects relating to both ergonomics and productivity. The framework is meant to facilitate the inclusion of Ergonomics 4.0 in the Industry 4.0 revolution.

Place, publisher, year, edition, pages
Cham: Springer, 2022
Series
Lecture Notes in Networks and Systems, ISSN 2367-3370, E-ISSN 2367-3389 ; 223
Keywords
Ergonomics, Digital human modeling, Productivity, Simulation, Optimization
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Production and Automation Engineering; VF-KDO
Identifiers
urn:nbn:se:his:diva-19954 (URN)10.1007/978-3-030-74614-8_46 (DOI)2-s2.0-85111418004 (Scopus ID)978-3-030-74613-1 (ISBN)978-3-030-74614-8 (ISBN)
Conference
21st Congress of the International Ergonomics Association (IEA 2021), 13-18 June, 2021
Funder
Vinnova, 2018-02227Vinnova, 2018-05026Knowledge Foundation, 20180167
Note

© 2022

This work has been supported by ITEA3 in the project MOSIM, the Knowledge Foundation and the associated INFINIT research environment at the University of Skövde, within the Virtual Factories with Knowledge-Driven Optimization (VF-KDO) research profile and the Synergy Virtual Ergonomics (SVE) project, and by the participating organizations. Their support is gratefully acknowledged.

Available from: 2021-06-22 Created: 2021-06-22 Last updated: 2024-06-19Bibliographically approved
Iriondo Pascual, A., Högberg, D., Lämkull, D., Perez Luque, E., Syberfeldt, A. & Hanson, L. (2021). Optimization of Productivity and Worker Well-Being by Using a Multi-Objective Optimization Framework. IISE Transactions on Occupational Ergonomics and Human Factors, 9(3-4), 143-153
Open this publication in new window or tab >>Optimization of Productivity and Worker Well-Being by Using a Multi-Objective Optimization Framework
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2021 (English)In: IISE Transactions on Occupational Ergonomics and Human Factors, ISSN 2472-5838, Vol. 9, no 3-4, p. 143-153Article in journal (Refereed) Published
Abstract [en]

OCCUPATIONAL APPLICATIONS

Worker well-being and overall system performance are important elements in the design of production lines. However, studies of industry practice show that current design tools are unable to consider concurrently both productivity aspects (e.g., line balancing and cycle time) and worker well-being related aspects (e.g., the risk of musculoskeletal disorders). Current practice also fails to account for anthropometric diversity in the workforce and does not use the potential of multi-objective simulation-based optimization techniques. Accordingly, a framework consisting of a workflow and a digital tool was designed to assist in the proactive design of workstations to accommodate worker well-being and productivity. This framework uses state-of-the-art optimization techniques to make it easier and quicker for designers to find successful workplace design solutions. A case study to demonstrate the framework is provided

TECHNICAL ABSTRACT

Rationale: Simulation technologies are used widely in industry as they enable efficient creation, testing, and optimization of the design of products and production systems in virtual worlds. Simulations of productivity and ergonomics help companies to find optimized solutions that maintain profitability, output, quality, and worker well-being. However, these two types of simulations are typically carried out using separate tools, by persons with different roles, with different objectives. Silo effects can result, leading to slow development processes and suboptimal solutions.

Purpose: This research is related to the realization of a framework that enables the concurrent optimization of worker well-being and productivity. The framework demonstrates how digital human modeling can contribute to Ergonomics 4.0 and support a human factors centered approach in Industry 4.0. The framework also facilitates consideration of anthropometric diversity in the user group.

Methods: Design and creation methodology was used to create a framework that was applied to a case study, formulated together with industry partners, to demonstrate the functionality of the noted framework.

Results: The framework workflow has three parts: (1) Problem definition and creation of the optimization model; (2) Optimization process; and (3) Presentation and selection of results. The case study shows how the framework was used to find a workstation design optimized for both productivity and worker well-being for a diverse group of workers.

Conclusions: The framework presented allows for multi-objective optimizations of both worker well-being and productivity and was successfully applied in a welding gun use case.

Place, publisher, year, edition, pages
Taylor & Francis, 2021
Keywords
ergonomics, digital human modeling, productivity, simulation, optimization
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Production and Automation Engineering; VF-KDO
Identifiers
urn:nbn:se:his:diva-20699 (URN)10.1080/24725838.2021.1997834 (DOI)000716285800001 ()34724884 (PubMedID)2-s2.0-85118760617 (Scopus ID)
Funder
Vinnova
Note

CC BY 4.0

CONTACT Aitor Iriondo Pascual aitor.iriondo.pascual@his.se

Published online: 09 Nov 2021

This work has received support from ITEA3/Vinnova in the project Modular Simulation of Natural Human Motions (MOSIM), and from the Knowledge Foundation and the associated INFINIT research environment at the University of Skövde, within the Virtual Factories–Knowledge-Driven Optimization (VF-KDO) research profile and the Synergy Virtual Ergonomics (SVE) project, and from the participating organizations. This support is gratefully acknowledged.

10.1080/24725838.2021.1997834

Available from: 2021-11-15 Created: 2021-11-15 Last updated: 2024-06-19Bibliographically approved
Iriondo Pascual, A., Högberg, D., Syberfeldt, A., García Rivera, F., Pérez Luque, E. & Hanson, L. (2020). Implementation of Ergonomics Evaluation Methods in a Multi-Objective Optimization Framework. In: Lars Hanson; Dan Högberg; Erik Brolin (Ed.), DHM2020: Proceedings of the 6th International Digital Human Modeling Symposium, August 31 - September 2, 2020. Paper presented at 6th International Digital Human Modeling Symposium, August 31 - September 2, 2020, Skövde, Sweden (pp. 361-371). Amsterdam: IOS Press
Open this publication in new window or tab >>Implementation of Ergonomics Evaluation Methods in a Multi-Objective Optimization Framework
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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
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 11
Keywords
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:nbn:se:his:diva-19010 (URN)10.3233/ATDE200044 (DOI)000680825700037 ()2-s2.0-85091200988 (Scopus ID)978-1-64368-105-4 (ISBN)978-1-64368-104-7 (ISBN)
Conference
6th International Digital Human Modeling Symposium, August 31 - September 2, 2020, Skövde, Sweden
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
Ljung, O., Iriondo Pascual, A., Högberg, D., Delfs, N., Forsberg, T., Johansson, P., . . . Hanson, L. (2020). Integration of Simulation and Manufacturing Engineering Software - Allowing Work Place Optimization Based on Time and Ergonomic Parameters. In: Lars Hanson; Dan Högberg; Erik Brolin (Ed.), DHM2020: Proceedings of the 6th International Digital Human Modeling Symposium, August 31 - September 2, 2020. Paper presented at 6th International Digital Human Modeling Symposium, August 31 - September 2, 2020, Skövde, Sweden (pp. 342-347). Amsterdam: IOS Press
Open this publication in new window or tab >>Integration of Simulation and Manufacturing Engineering Software - Allowing Work Place Optimization Based on Time and Ergonomic Parameters
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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. 342-347Conference paper, Published paper (Refereed)
Abstract [en]

There is a constant strive in industry to be competitive on the market, to manufacture with quality and productivity. At the same time, it is important to offer workers a sustainable work life. Research has shown a clear relationship between poor ergonomics and productivity losses and quality deficiencies, e.g. due to assembly errors, which also causes large costs for companies. In spite of the abovementioned relationship, productivity, ergonomics and quality are commonly treated separately in factory, line and workstation planning. To improve the factory, line and workstation planning, make it more efficient, ergonomic and to improve quality this paper proposes a concept that enables line balancing that considers two parameters in parallel, assembly time and ergonomic load as well as add possibility for mathematical optimization. The concept has been developed in a participative and iterative process. Two software tools and a simulation platform, the digital human modelling tool IPS IMMA, the balancing tool AVIX and the optimization platform EPP, have been used to demonstrate the concept. An integrated solution is formed. The integrated demonstration tool shows promising results. The demonstrator provides the possibility to manually optimize ergonomics and time in parallel, a relatively unique functionality.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2020
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 11
Keywords
Line Balancing, Digital Human Modelling, Process Planning, Multi Variable Optimization
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; VF-KDO
Identifiers
urn:nbn:se:his:diva-19018 (URN)10.3233/ATDE200041 (DOI)000680825700035 ()2-s2.0-85091252207 (Scopus ID)978-1-64368-104-7 (ISBN)978-1-64368-105-4 (ISBN)
Conference
6th International Digital Human Modeling Symposium, August 31 - September 2, 2020, Skövde, Sweden
Funder
Vinnova, 2018-02227Knowledge 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 and Vinnova in the project MOSIM and by the participating organizations. This support is gratefully acknowledged.

Available from: 2020-09-08 Created: 2020-09-08 Last updated: 2024-06-19Bibliographically approved
Iriondo Pascual, A., Högberg, D., Syberfeldt, A., Brolin, E. & Hanson, L. (2020). Optimizing Ergonomics and Productivity by Connecting Digital Human Modeling and Production Flow Simulation Software. In: Kristina Säfsten; Fredrik Elgh (Ed.), SPS2020: Proceedings of the Swedish Production Symposium, October 7–8, 2020. Paper presented at Swedish Production Symposium, October 7–8, 2020 (pp. 193-204). Amsterdam: IOS Press
Open this publication in new window or tab >>Optimizing Ergonomics and Productivity by Connecting Digital Human Modeling and Production Flow Simulation Software
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2020 (English)In: SPS2020: Proceedings of the Swedish Production Symposium, October 7–8, 2020 / [ed] Kristina Säfsten; Fredrik Elgh, Amsterdam: IOS Press, 2020, , p. 679p. 193-204Conference paper, Published paper (Refereed)
Abstract [en]

Simulation software is used in the production development process to simulate production and predict behaviors, calculate times, and plan production in advance. Digital human modeling (DHM) software is used to simulate humans working in production and assess whether workstation designs offer appropriate ergonomic conditions for the workers. However, these human simulations are usually carried out by human factors engineers or ergonomists, whereas the production simulations are carried out by production engineers. Lack of integration of these two simulations can lead to suboptimal solutions when the factory is not optimized to improve both productivity and ergonomics. To tackle this problem, a platform has been developed that connects production flow simulation software data and DHM software data and integrates them in a generic software for data treatment and visualization. Production flow simulation software data and DHM software data are organized in a hierarchical structure that allows synchronization between the production data and the ergonomic data on the target simulation software. The platform is generic and can be connected to any production flow simulation software and any DHM software by creating specific links for each software. The platform requires only the models of the production line, workstations, and tasks in order to perform the simulations in the target simulation software and collect the simulation results to present the results to the user of the platform. 

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2020. p. 679
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 13
Keywords
Production, Ergonomics, Simulation, DHM, Optimization
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Production and Automation Engineering; VF-KDO
Identifiers
urn:nbn:se:his:diva-19320 (URN)10.3233/ATDE200157 (DOI)001180173900017 ()2-s2.0-85098631892 (Scopus ID)978-1-64368-146-7 (ISBN)978-1-64368-147-4 (ISBN)
Conference
Swedish Production Symposium, October 7–8, 2020
Funder
Vinnova, 41466Knowledge Foundation, 20180167Knowledge Foundation, 41459
Note

CC BY-NC 4.0

Available from: 2020-12-15 Created: 2020-12-15 Last updated: 2024-06-19Bibliographically approved
Principal InvestigatorSyberfeldt, Anna
Co-InvestigatorSyberfeldt, Sanny
Co-InvestigatorHögberg, Dan
Research StudentIriondo Pascual, Aitor
Coordinating organisation
Funder
Period
2018-09-01 - 2021-12-31
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
DiVA, id: project:2632

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