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Iriondo Pascual, Aitor
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Publications (5 of 5) Show all publications
Iriondo Pascual, A., Högberg, D., Syberfeldt, A., Brolin, E. & Hanson, L. (2020). Application of Multi-objective Optimization on Ergonomics in Production: A Case Study. In: Massimo Di Nicolantonio, Emilio Rossi, Thomas Alexander (Ed.), 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. Paper presented at International Conference on Applied Human Factors and Ergonomics (AHFE), Washington D.C, USA, July 24-28, 2019 (pp. 584-594). Springer
Open this publication in new window or tab >>Application of Multi-objective Optimization on Ergonomics in Production: A Case Study
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2020 (English)In: 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, Published 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. 

Place, publisher, year, edition, pages
Springer, 2020
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365 ; 975
Keywords
Digital human modelling, Ergonomics, Optimization, Productivity, Simulation, 3D modeling, Additives, Efficiency, Manufacture, Holistic perspectives, Optimization tools, Production companies, Production development, Production efficiency, Tools and methods, Multiobjective optimization
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-17417 (URN)10.1007/978-3-030-20216-3_54 (DOI)2-s2.0-85067415239 (Scopus ID)978-3-030-20215-6 (ISBN)978-3-030-20216-3 (ISBN)
Conference
International Conference on Applied Human Factors and Ergonomics (AHFE), Washington D.C, USA, July 24-28, 2019
Available from: 2019-07-09 Created: 2019-07-09 Last updated: 2019-08-06Bibliographically approved
Iriondo Pascual, A. (2019). Simulation-Based Multi-Objective Optimization of Ergonomic and Productivity Factors.
Open this publication in new window or tab >>Simulation-Based Multi-Objective Optimization of Ergonomic and Productivity Factors
2019 (English)Report (Other academic)
Abstract [en]

Simulation software is used in industry to simulate production as it allows predicting behaviours, calculate times and plan production already at virtual stages of the production development process. There is also software to simulate humans working in production, commonly called digital human modelling (DHM) tools. When humans are simulated, ergonomics evaluations can be carried out in order to assess whether workstation designs offer appropriate ergonomic conditions for the worker. However, these human simulations are usually carried out by human factors engineers or ergonomists, with the purpose of validating workstations, without integrating these simulations with those performed in production by production engineers. Due to this, simulations performed to predict production are usually done separately from human simulations performed to evaluate ergonomics. This can lead to suboptimal solutions when the factory is optimized to improve productivity and ergonomics. This research proposal contains a frame of reference, literature review, research questions, proposed approach, motivation, expected results, philosophical paradigm, research methodology, method, challenges and planning, founded in the hypothesis that more optimal solutions for workstation design, layout and line balancing can be obtained in simulations by optimizing productivity and ergonomic factors at the same time instead of improving them separately. Hence, the aim is to carry out research in the development of a multi-objective optimization method of productivity and ergonomic factors, and to implement the method into a simulation tool in order to test and communicate the method. From an academic perspective, the overall objective is to contribute to knowledge and publish findings in the academic community, eventually leading to a PhD thesis. From an application perspective, the overall objective is to contribute to the development of efficient methods for how to find successful designs of productive and ergonomic workstations.

Publisher
p. 38
Keywords
Ergonomics, Simulation, Optimization, Productivity, Digital Human Modelling
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design
Identifiers
urn:nbn:se:his:diva-17964 (URN)
Funder
Vinnova, 17028
Note

Research proposal, PhD programme, University of Skövde

Available from: 2019-12-02 Created: 2019-12-02 Last updated: 2019-12-03Bibliographically approved
Mahdavian, N., Lind, C. M., Diaz Olivares, J. A., Iriondo Pascual, A., Högberg, D., Brolin, E., . . . Hanson, L. (2018). Effect of Giving Feedback on Postural Working Techniques. In: Peter Thorvald, Keith Case (Ed.), 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. Paper presented at 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden (pp. 247-252). Amsterdam, Netherlands: IOS Press
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2018 (English)In: 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, Published 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.

Place, publisher, year, edition, pages
Amsterdam, Netherlands: IOS Press, 2018
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 8
Keywords
Feedback, Work technique, Smart textiles, Ergonomics
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; INF202 Virtual Ergonomics
Identifiers
urn:nbn:se:his:diva-16316 (URN)10.3233/978-1-61499-902-7-247 (DOI)000462212700040 ()2-s2.0-85057403062 (Scopus ID)978-1-61499-901-0 (ISBN)978-1-61499-902-7 (ISBN)
Conference
16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden
Funder
Vinnova, UDI 2016-03782
Available from: 2018-10-24 Created: 2018-10-24 Last updated: 2019-04-08Bibliographically approved
Iriondo Pascual, A., Högberg, D., Kolbeinsson, A., Ruiz Castro, P., Mahdavian, N. & Hanson, L. (2018). Proposal of an Intuitive Interface Structure for Ergonomics Evaluation Software. In: Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita (Ed.), 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. Paper presented at International Ergonomics Association (IEA 2018), August 26-30, 2018, Florence, Italy (pp. 289-300). Cham: Springer, 825
Open this publication in new window or tab >>Proposal of an Intuitive Interface Structure for Ergonomics Evaluation Software
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2018 (English)In: 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, Published 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. 

Place, publisher, year, edition, pages
Cham: Springer, 2018
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365 ; 825
Keywords
Ergonomics, Interface, Data Management
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; INF202 Virtual Ergonomics
Identifiers
urn:nbn:se:his:diva-16185 (URN)10.1007/978-3-319-96068-5_32 (DOI)000468070400032 ()2-s2.0-85052146989 (Scopus ID)978-3-319-96067-8 (ISBN)978-3-319-96068-5 (ISBN)
Conference
International Ergonomics Association (IEA 2018), August 26-30, 2018, Florence, Italy
Projects
Smart Textiles for a Sustainable Work Life
Note

This work has been made possible with the support from Vinnova/UDI in Sweden, in the project Smart Textiles for a Sustainable Work Life, and by the participating organizations. This support is gratefully acknowledged.

Available from: 2018-09-11 Created: 2018-09-11 Last updated: 2019-06-07Bibliographically approved
Iriondo, A., Oscarsson, J. & Jeusfeld, M. A. (2017). Simulation Data Management in a Product Lifecycle Management Context. In: James Gao, Mohammed El Souri, Simeon Keates (Ed.), James Gao, Mohammed El Souri, Simeon Keates (Ed.), Advances in Manufacturing Technology XXXI: Proceedings of the 15th International Conference on Manufacturing Research, Incorporating the 32nd National Conference on Manufacturing Research, September 5–7, 2017, University of Greenwich, UK. Paper presented at 15th International Conference on Manufacturing Research ICMR 2017. Incorporating the 32nd National Conference on Manufacturing Research. University of Greenwich, London, September 5-7, 2017 (pp. 476-481). Amsterdam: IOS Press
Open this publication in new window or tab >>Simulation Data Management in a Product Lifecycle Management Context
2017 (English)In: Advances in Manufacturing Technology XXXI: Proceedings of the 15th International Conference on Manufacturing Research, Incorporating the 32nd National Conference on Manufacturing Research, September 5–7, 2017, University of Greenwich, UK / [ed] James Gao, Mohammed El Souri, Simeon Keates, Amsterdam: IOS Press, 2017, p. 476-481Conference paper, Published paper (Refereed)
Abstract [en]

Reuse of virtual engineering models and simulations improves engineering efficiency. Reuse requires preserving the information provenance. This paper suggests a framework based on the 7W data provenance model to be part of simulation data management implemented in product lifecycle management systems. The resulting provenance framework is based on a case study in which a product was re-engineered using finite element analysis.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2017
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 6
Keywords
Provenance, Virtual Engineering, Product Lifecycle Management
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering; Information Systems; User Centred Product Design; INF201 Virtual Production Development
Identifiers
urn:nbn:se:his:diva-14502 (URN)10.3233/978-1-61499-792-4-476 (DOI)000440620700076 ()2-s2.0-85028424715 (Scopus ID)978-1-61499-792-4 (ISBN)978-1-61499-791-7 (ISBN)978-1-61499-439-8 (ISBN)
Conference
15th International Conference on Manufacturing Research ICMR 2017. Incorporating the 32nd National Conference on Manufacturing Research. University of Greenwich, London, September 5-7, 2017
Funder
Knowledge Foundation
Available from: 2017-11-21 Created: 2017-11-21 Last updated: 2019-02-14Bibliographically approved
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