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Lind, A., Iriondo Pascual, A., Hanson, L., Högberg, D., Lämkull, D. & Syberfeldt, A. (2024). Multi-objective optimisation of a logistics area in the context of factory layout planning. Production & Manufacturing Research, 12(1), Article ID 2323484.
Open this publication in new window or tab >>Multi-objective optimisation of a logistics area in the context of factory layout planning
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2024 (English)In: Production & Manufacturing Research, ISSN 2169-3277, Vol. 12, no 1, article id 2323484Article in journal (Refereed) Published
Abstract [en]

The manufacturing factory layout planning process is commonly supported by the use of digital tools, enabling creation and testing of potential layouts before being realised in the real world. The process relies on engineers’ experience and inputs from several cross-disciplinary functions, meaning that it is subjective, iterative and prone to errors and delays. To address this issue, new tools and methods are needed to make the planning process more objective, efficient and able to consider multiple objectives simultaneously. This work suggests and demonstrates a simulation-based multi-objective optimisation approach that assists the generation and assessment of factory layout proposals, where objectives and constraints related to safety regulations, workers’ well-being and walking distance are considered simultaneously. The paper illustrates how layout planning for a logistics area can become a cross-disciplinary and transparent activity, while being automated to a higher degree, providing objective results to facilitate informed decision-making.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2024
Keywords
factory layout, logistics area, multi-objective optimisation, simulation
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Virtual Production Development (VPD); VF-KDO
Identifiers
urn:nbn:se:his:diva-23640 (URN)10.1080/21693277.2024.2323484 (DOI)
Funder
Knowledge Foundation, 20200044Knowledge Foundation, 2018-0011
Note

CC BY 4.0

CONTACT Andreas Lind andreas.lind@his.se Global Industrial Development, Scania CV AB, Södertälje, Sweden

The authors appreciatively thank the support of Scania CV AB, the research school Smart Industry Sweden (20200044) and the research project Virtual Factories with Knowledge-Driven Optimisation (2018-0011) funded by the Knowledge Foundation via the University of Skövde. With this support the research was made possible.

The work was supported by the Stiftelsen för Kunskaps- och Kompetensutveckling [20200044]; Stiftelsen för Kunskaps- och Kompetensutveckling [2018-0011].

Available from: 2024-02-29 Created: 2024-02-29 Last updated: 2024-02-29Bibliographically approved
Salunkhe, O., Romero, D., Stahre, J., Johansson, B. & Syberfeldt, A. (2023). Bridging the Hype Cycle of Collaborative Robot Applications. In: Erlend Alfnes; Anita Romsdal; Jan Ola Strandhagen; Gregor von Cieminski; David Romero (Ed.), Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures: IFIP WG 5.7 International Conference, APMS 2023, Trondheim, Norway, September 17–21, 2023, Proceedings, Part I. Paper presented at IFIP WG 5.7 International Conference, Advances in Production Management Systems, APMS 2023, Trondheim, Norway, September 17–21, 2023 (pp. 678-690). Cham: Springer
Open this publication in new window or tab >>Bridging the Hype Cycle of Collaborative Robot Applications
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2023 (English)In: Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures: IFIP WG 5.7 International Conference, APMS 2023, Trondheim, Norway, September 17–21, 2023, Proceedings, Part I / [ed] Erlend Alfnes; Anita Romsdal; Jan Ola Strandhagen; Gregor von Cieminski; David Romero, Cham: Springer, 2023, p. 678-690Conference paper, Published paper (Refereed)
Abstract [en]

This paper investigates manufacturing companies’ current and planned usage of collaborative robots along with possible reasons for the observed slow growth in implementing Collaborative Robot Applications (CRAs) in the industry. The paper also discusses whether similarities can be seen in the Gartner Hype Cycle for technology adoption. Findings from an industrial survey suggest increasingly positive attitudes towards using CRAs in manufacturing and final assembly operations as tools and support mechanisms aiding human operators. Better methodologies and best practices are urgently needed for successful CRA implementation and efficient manufacturing human-robot collaboration design. 

Place, publisher, year, edition, pages
Cham: Springer, 2023
Series
IFIP Advances in Information and Communication Technology, ISSN 1868-4238, E-ISSN 1868-422X ; 689
Keywords
Collaborative Robot Applications, Final Assembly, Gartner Hype Cycle, Human-Robot Collaboration, Manufacturing, Survey, Collaborative robots, Industrial robots, Robot applications, 'current, Collaborative robot application, Manufacturing companies, Slow growth, Technology adoption, Machine design
National Category
Robotics Production Engineering, Human Work Science and Ergonomics
Research subject
Virtual Production Development (VPD)
Identifiers
urn:nbn:se:his:diva-23290 (URN)10.1007/978-3-031-43662-8_48 (DOI)2-s2.0-85172418524 (Scopus ID)978-3-031-43661-1 (ISBN)978-3-031-43664-2 (ISBN)978-3-031-43662-8 (ISBN)
Conference
IFIP WG 5.7 International Conference, Advances in Production Management Systems, APMS 2023, Trondheim, Norway, September 17–21, 2023
Note

© 2023, IFIP International Federation for Information Processing.

Available from: 2023-10-05 Created: 2023-10-05 Last updated: 2023-10-10Bibliographically approved
Lind, A., Hanson, L., Högberg, D., Lämkull, D., Mårtensson, P. & Syberfeldt, A. (2023). Digital support for rules and regulations when planning and designing factory layouts. Procedia CIRP, 120, 1445-1450
Open this publication in new window or tab >>Digital support for rules and regulations when planning and designing factory layouts
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2023 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 120, p. 1445-1450Article in journal (Refereed) Published
Abstract [en]

Factory layouts are frequently planned and designed in virtual environments, based on the experience of the layout planner. This planning and design process depends on information from several cross-disciplinary activities performed by several functions and experts, e.g., product development, manufacturing process planning, resource descriptions, ergonomics, and safety. Additionally, the layout planner also needs to consider applicable rules and regulations. This experience-based and manual approach to plan and design factory layouts, considering a multitude of inputs and parameters, is a cumbersome iterative process with a high risk of human error and faulty inputs and updates. The general trend in industry is to automate and assist users with their tasks and activities, deriving from concepts such as Industry 4.0 and Industry 5.0. This paper presents and demonstrates how digital support for rules and regulations can assist layout planners in factory layout work. The objective is to support the layout planner in accounting for area/volume reservations required to comply with rules and regulations for workers and equipment in the factory layout. This is a step in a wider initiative to provide enhanced digital support to layout planners, making the layout planning and design process more objective and efficient, and bridge gaps between cross-disciplinary planning and design activities.

Place, publisher, year, edition, pages
Elsevier, 2023
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Virtual Production Development (VPD); VF-KDO
Identifiers
urn:nbn:se:his:diva-23532 (URN)10.1016/j.procir.2023.09.191 (DOI)2-s2.0-85184599288 (Scopus ID)
Funder
Knowledge Foundation
Note

CC BY-NC-ND 4.0 DEED

Corresponding author: E-mail address: andreas.lind@scania.com

The authors appreciatively thank the support from Scania CV AB, the research school Smart Industry Sweden, and the VF-KDO (Virtual Factories with Knowledge-Driven Optimization) project funded by the Knowledge Foundation in Sweden; this support made the research possible.

Available from: 2024-01-15 Created: 2024-01-15 Last updated: 2024-02-22Bibliographically approved
Lind, A., Hanson, L., Högberg, D., Lämkull, D. & Syberfeldt, A. (2023). Extending and demonstrating an engineering communication framework utilising the digital twin concept in a context of factory layouts. International Journal of Services Operations and Informatics, 12(3), 201-224
Open this publication in new window or tab >>Extending and demonstrating an engineering communication framework utilising the digital twin concept in a context of factory layouts
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2023 (English)In: International Journal of Services Operations and Informatics, ISSN 1741-539X, E-ISSN 1741-5403, Vol. 12, no 3, p. 201-224Article in journal (Refereed) Published
Abstract [en]

The factory layout is frequently planned in virtual environments, based on the experience of software tool users. This planning process is cumbersome and iterative to collect the necessary information, with a high risk of faulty inputs and updates. The digital twin concept has been introduced in order to speed up information sharing within a company; it relies on connectivity. However, the concept is often misunderstood as just a 3D model of a virtual object, not including connectivity. The aim of this paper is to present an extended virtual and physical engineering communication framework including four concepts: digital model, digital pre-runner, digital shadow, and digital twin. The four concepts are demonstrated and described in order to facilitate understanding how data exchange between virtual and physical objects can work in the future and having up-to date virtual environments enables simulating, analysing, and improving on more realistic and accurate datasets.

Place, publisher, year, edition, pages
InderScience Publishers, 2023
Keywords
digital model, digital pre-runner, digital shadow, digital twin, factory layout
National Category
Production Engineering, Human Work Science and Ergonomics Other Computer and Information Science Information Systems Media and Communication Technology
Research subject
User Centred Product Design; Virtual Production Development (VPD); VF-KDO
Identifiers
urn:nbn:se:his:diva-22481 (URN)10.1504/IJSOI.2023.132345 (DOI)2-s2.0-85166580963 (Scopus ID)
Funder
Knowledge Foundation
Note

CC BY 4.0

This paper is a revised and expanded version of a paper entitled ‘Evaluating a digital twin concept for an automatic up-to-date factory layout setup’ presented at 10th Swedish Production Symposium (SPS2022), Skövde, Sweden, 26–29 April, 2022.

The authors gratefully thank the support of Scania CV AB, the Research School Smart Industry Sweden, and the VF-KDO Project (Virtual Factories with Knowledge-Driven Optimization) funded by the Knowledge Foundation in Sweden; this support made the research possible.

Available from: 2023-05-02 Created: 2023-05-02 Last updated: 2024-02-22Bibliographically approved
Danielsson, O., Syberfeldt, A., Holm, M. & Thorvald, P. (2023). Integration of Augmented Reality Smart Glasses as Assembly Support: A Framework Implementation in a Quick Evaluation Tool. International Journal of Manufacturing Research, 18(2), 144-164
Open this publication in new window or tab >>Integration of Augmented Reality Smart Glasses as Assembly Support: A Framework Implementation in a Quick Evaluation Tool
2023 (English)In: International Journal of Manufacturing Research, ISSN 1750-0591, Vol. 18, no 2, p. 144-164Article in journal (Refereed) Published
Abstract [en]

Augmented reality smart glasses (ARSG) have been successfully used as operator support in production. However, their use is not yet widespread, likely in part due to a lack of knowledge about how to integrate ARSG into production. This lack of knowledge can also make it hard to estimate whether this is a worthwhile investment. Our solution is to provide an online evaluation tool to help production planners estimate the likelihood that ARSG will be worth the investment cost in specific production cases. Based on a strawman design, multiple design iterations were followed by a pilot test performed by participants from different manufacturing companies involved in planning production for operators. A Likert scale survey was used to evaluate the tool. The results show a slightly positive evaluation of the tool with suggestions for improvement, including widening the scope and granularity of the tool. Future works include further iterations and case studies.

Place, publisher, year, edition, pages
InderScience Publishers, 2023
Keywords
augmented reality, AR, augmented reality smart glasses, ARSG, assembly operator, framework, evaluation tool, focus groups
National Category
Computer and Information Sciences Production Engineering, Human Work Science and Ergonomics Human Computer Interaction
Research subject
Virtual Production Development (VPD); User Centred Product Design; VF-KDO
Identifiers
urn:nbn:se:his:diva-22639 (URN)10.1504/IJMR.2023.131583 (DOI)001016319500002 ()2-s2.0-85165228322 (Scopus ID)
Note

Published online: 20 Jun 2023

Available from: 2023-06-02 Created: 2023-06-02 Last updated: 2023-08-16Bibliographically approved
Holm, M., Ng, A. H. C., Högberg, D. & Syberfeldt, A. (Eds.). (2023). Special Issue: Digital Transformation Towards a Sustainable Human Centric and Resilient Production. Paper presented at Swedish Production Symposium 2022. InderScience Publishers
Open this publication in new window or tab >>Special Issue: Digital Transformation Towards a Sustainable Human Centric and Resilient Production
2023 (English)Collection (editor) (Refereed)
Abstract [en]

The realisation of a successful product requires collaboration between developers andproducers, taking account of stakeholder value, reinforcing the contribution of industry tosociety and enhancing the wellbeing of workers while respecting planetary boundaries.Founded in 2006, the Swedish Production Academy (SPA) aims to drive and developproduction research and education and to increase cooperation within the production area.SPA initiated and hosts the conference Swedish Production Symposium. This specialissue is based on invited papers from the 10th Swedish Production Symposium(SPS2022), held in Skövde, Sweden, from 26–29 April 2022. The overall theme forSPS2022 was ‘Industry 5.0 transformation – towards a sustainable, human-centric, andresilient production’.As stated by the European Commission the vision of Industry 5.0 recognises societalgoals. It goes beyond a techno-economic vision, industrial value chains and growthaiming for the industry to become a resilient provider of prosperity, respecting ourplanets boundaries, and placing the industrial worker, her well-being, at the centre of theproduction process.In this special issue, we set out to explore the transition to a resilient, sustainable andhuman centric industry. The first paper explores the need for a joint strategical vision thatinclude technology (selection, development, and implementation), organisation(structure, agility, management, stakeholder collaborations, work environment) andpeople (skills and competences, participation, innovation and creative collaborativeculture, and change readiness), to achieve a resilient and sustainable production systemeffectively and efficiently. The second paper discusses how reconfigurable manufacturingsystems can enable sustainable manufacturing and circularity, achieving highresponsiveness and cost efficiency. The third paper, a synthesis of universal workplacedesign in assembly, explores how human assembly workplaces can be designed in abetter way in regard to inclusion of diverse worker populations. The fourth paperdiscusses different meanings of digital transformation in manufacturing industry fromboth a theoretical and industrial perspective. The fifth paper explores challenges to designa product service system at an SME as an approach to support transition to Industry 5.0.The concluding paper in this special issue discusses a knowledge extraction platform forreproducible decision support based on data from multi-objective experiments.The organiser of SPS2022 has found these six outstanding papers to perfectly alignwith the theme ‘Industry 5.0 transformation’ and express their gratitude to theEditor-in-Chief of IJMR for accepting them for publication in this special issue.

Place, publisher, year, edition, pages
InderScience Publishers, 2023
Series
International Journal of Manufacturing Research, ISSN 1750-0591, E-ISSN 1750-0605 ; Vol. 18(4)
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
VF-KDO; User Centred Product Design; Virtual Production Development (VPD)
Identifiers
urn:nbn:se:his:diva-23455 (URN)
Conference
Swedish Production Symposium 2022
Available from: 2023-12-12 Created: 2023-12-12 Last updated: 2023-12-27Bibliographically approved
Gustavsson, P., Syberfeldt, A. & Holm, M. (2023). Virtual reality platform for design and evaluation of human-robot collaboration in assembly manufacturing. International Journal of Manufacturing Research, 18(1), 28-49
Open this publication in new window or tab >>Virtual reality platform for design and evaluation of human-robot collaboration in assembly manufacturing
2023 (English)In: International Journal of Manufacturing Research, ISSN 1750-0591, Vol. 18, no 1, p. 28-49Article in journal (Refereed) Published
Abstract [en]

This paper presents 'virtual collaborative robot', a virtual reality platform for designing and evaluating collaboration between operators and industrial robots. Within the platform, human-robot collaboration scenarios can be created and a user can interact with a robot without the safety risks that might arise with physical industrial robots. In an initial evaluation of the platform a scenario was implemented combining speech recognition, haptic control, and augmented reality to assemble a car model. The results from this evaluation indicate that the suggested platform can be used to successfully test new applications with the standard equipment of virtual reality headsets.

Place, publisher, year, edition, pages
InderScience Publishers, 2023
Keywords
human-robot collaboration, HRC, human-robot interaction, HRI, virtual reality, augmented reality, speech recognition
National Category
Robotics
Research subject
Virtual Production Development (VPD)
Identifiers
urn:nbn:se:his:diva-22362 (URN)10.1504/IJMR.2023.129303 (DOI)000944150000002 ()2-s2.0-85153476675 (Scopus ID)
Available from: 2023-04-03 Created: 2023-04-03 Last updated: 2023-09-25Bibliographically approved
Lind, A., Elango, V., Hanson, L., Högberg, D., Lämkull, D., Mårtensson, P. & Syberfeldt, A. (2023). Virtual-Simulation-Based Multi-Objective Optimization of an Assembly Station in a Battery Production Factory. Systems, 11(8), Article ID 395.
Open this publication in new window or tab >>Virtual-Simulation-Based Multi-Objective Optimization of an Assembly Station in a Battery Production Factory
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2023 (English)In: Systems, E-ISSN 2079-8954, Vol. 11, no 8, article id 395Article in journal (Refereed) Published
Abstract [en]

The planning and design process of manufacturing factory layouts is commonly performed using digital tools, enabling engineers to define and test proposals in virtual environments before implementing them physically. However, this approach often relies on the experience of the engineers involved and input from various cross-disciplinary functions, leading to a time-consuming and subjective process with a high risk of human error. To address these challenges, new tools and methods are needed. The Industry 5.0 initiative aims to further automate and assist human tasks, reinforcing the human-centric perspective when making decisions that influence production environments and working conditions. This includes improving the layout planning process by making it more objective, efficient, and capable of considering multiple objectives simultaneously. This research presents a demonstrator solution for layout planning using digital support, incorporating a virtual multi-objective optimization approach to consider safety regulations, area boundaries, workers’ well-being, and walking distance. The demonstrator provides a cross-disciplinary and transparent approach to layout planning for an assembly station in the context of battery production. The demonstrator solution illustrates how layout planning can become a cross-disciplinary and transparent activity while being automated to a higher degree, providing results that support decision-making and balance cross-disciplinary requirements.

Place, publisher, year, edition, pages
MDPI, 2023
Keywords
multi-objective, optimization, simulation, Industry 5.0, factory layout
National Category
Production Engineering, Human Work Science and Ergonomics Robotics
Research subject
Virtual Production Development (VPD); User Centred Product Design; VF-KDO
Identifiers
urn:nbn:se:his:diva-23075 (URN)10.3390/systems11080395 (DOI)001056657200001 ()2-s2.0-85169108939 (Scopus ID)
Funder
Knowledge Foundation
Note

CC BY 4.0

Correspondence: andreas.lind@scania.com

This research was funded by Scania CB AB and the Knowledge Foundation via the University of Skövde, the research project Virtual Factories with Knowledge-Driven Optimization (2018-0011), and the industrial graduate school Smart Industry Sweden (20200044).

Available from: 2023-08-04 Created: 2023-08-04 Last updated: 2024-02-22Bibliographically 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)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: 2022-09-07Bibliographically approved
Igelmo, V., Syberfeldt, A., Hansson, J. & Aslam, T. (2022). Enabling Industrial Mixed Reality Using Digital Continuity: An Experiment Within Remanufacturing. 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. 497-507). Amsterdam; Berlin; Washington, DC: IOS Press
Open this publication in new window or tab >>Enabling Industrial Mixed Reality Using Digital Continuity: An Experiment Within Remanufacturing
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. 497-507Conference paper, Published paper (Refereed)
Abstract [en]

In the digitalisation era, overlaying digital, contextualised information on top of the physical world is essential for an efficient operation. Mixed reality (MR) is a technology designed for this purpose, and it is considered one of the critical drivers of Industry 4.0. This technology has proven to have multiple benefits in the manufacturing area, including improving flexibility, efficacy, and efficiency. Among the challenges that prevent the big-scale implementation of this technology, there is the authoring challenge, which we address by answering the following research questions: (1) “how can we fasten MR authoring in a manufacturing context?” and (2) “how can we reduce the deployment time of industrial MR experiences?”. This paper presents an experiment performed in collaboration with Volvo within the remanufacturing of truck engines. MR seems to be more valuable for remanufacturing than for many other applications in the manufacturing industry, and the authoring challenge appears to be accentuated. In this experiment, product lifecycle management (PLM) tools are used along with internet of things (IoT) platforms and MR devices. This joint system is designed to keep the information up-to-date and ready to be used when needed. Having all the necessary data cascading from the PLM platform to the MR device using IoT prevents information silos and improves the system’s overall reliability. Results from the experiment show how the interconnection of information systems can significantly reduce development and deployment time. Experiment findings include a considerable increment in the complexity of the overall IT system, the need for substantial investment in it, and the necessity of having highly qualified IT staff. The main contribution of this paper is a systematic approach to the design of industrial MR experiences.

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
Mixed reality, Digital Continuity, Product Lifecycle Management, Remanufacturing, Industry 4.0
National Category
Production Engineering, Human Work Science and Ergonomics Information Systems Other Electrical Engineering, Electronic Engineering, Information Engineering Other Mechanical Engineering Computer Systems
Research subject
Production and Automation Engineering; Distributed Real-Time Systems; VF-KDO
Identifiers
urn:nbn:se:his:diva-21105 (URN)10.3233/ATDE220168 (DOI)2-s2.0-85132823251 (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
Vinnova, 2019-00787
Note

CC BY-NC 4.0

Corresponding Author: victor.igelmo.garcia@his.se

The authors wish to thank the Swedish innovation agency Vinnova and the Strategic Innovation Programme Produktion2030 (funding number 2019-00787). Likewise, the authors [wish to thank Volvo AB.]

Available from: 2022-05-02 Created: 2022-05-02 Last updated: 2023-02-22Bibliographically approved
Projects
Co-production of knowledge [2013-02489_Vinnova]; University of SkövdeAutonomous Refuse Trucks [2016-02609_Vinnova]; University of SkövdeAutomated quality inspection in assembly lines through low-cost vision system (VISION) [2018-01592_Vinnova]; University of Skövde; Publications
Syberfeldt, A. & Vuoloterä, F. (2020). Image Processing based on Deep Neural Networks for Detecting Quality Problems in Paper Bag Production. Paper presented at 53rd CIRP Conference on Manufacturing Systems 2020. Procedia CIRP, 93, 1224-1229
MOSIM – Modular Simulation of Natural Human Motions; ; Publications
Iriondo Pascual, A. (2023). Simulation-based multi-objective optimization of productivity and worker well-being. (Doctoral dissertation). Skövde: University of SkövdeIriondo 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 PressIriondo 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. 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: SpringerIriondo 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), 143-153Iriondo 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 PressLjung, 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 PressIriondo 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
Virtual factories with knowledge-driven optimization (VF-KDO); University of Skövde; Publications
Nourmohammadi, A., Fathi, M. & Ng, A. H. C. (2024). Balancing and scheduling human-robot collaborated assembly lines with layout and objective consideration. Computers & industrial engineering, 187, Article ID 109775. Lind, A., Iriondo Pascual, A., Hanson, L., Högberg, D., Lämkull, D. & Syberfeldt, A. (2024). Multi-objective optimisation of a logistics area in the context of factory layout planning. Production & Manufacturing Research, 12(1), Article ID 2323484. Barrera Diaz, C. A., Nourmohammadi, A., Smedberg, H., Aslam, T. & Ng, A. H. C. (2023). An Enhanced Simulation-Based Multi-Objective Optimization Approach with Knowledge Discovery for Reconfigurable Manufacturing Systems. Mathematics, 11(6), Article ID 1527. Lind, A., Hanson, L., Högberg, D., Lämkull, D., Mårtensson, P. & Syberfeldt, A. (2023). Digital support for rules and regulations when planning and designing factory layouts. Procedia CIRP, 120, 1445-1450Redondo Verdú, C., Sempere Maciá, N., Strand, M., Holm, M., Schmidt, B. & Olsson, J. (2023). Enhancing Manual Assembly Training using Mixed Reality and Virtual Sensors. Paper presented at 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '23, Gulf of Naples, Italy, 12 - 14 July 2023. Procedia CIRPLind, A., Hanson, L., Högberg, D., Lämkull, D. & Syberfeldt, A. (2023). Extending and demonstrating an engineering communication framework utilising the digital twin concept in a context of factory layouts. International Journal of Services Operations and Informatics, 12(3), 201-224Danielsson, O., Syberfeldt, A., Holm, M. & Thorvald, P. (2023). Integration of Augmented Reality Smart Glasses as Assembly Support: A Framework Implementation in a Quick Evaluation Tool. International Journal of Manufacturing Research, 18(2), 144-164Smedberg, H. & Bandaru, S. (2023). Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization. European Journal of Operational Research, 306(3), 1311-1329Smedberg, H. (2023). Knowledge discovery for interactive decision support and knowledge-driven optimization. (Doctoral dissertation). Skövde: University of SkövdeSmedberg, H., Bandaru, S., Riveiro, M. & Ng, A. H. C. (2023). Mimer: A web-based tool for knowledge discovery in multi-criteria decision support. IEEE Computational Intelligence Magazine
Enabling REuse, REmanufacturing and REcycling Within INDustrial systems (REWIND); Publications
Despeisse, M., Chari, A., González Chávez, C. A., Chen, X., Johansson, B., Igelmo Garcia, V., . . . Polukeev, A. (2021). Achieving Circular and Efficient Production Systems: Emerging Challenges from Industrial Cases. In: Alexandre Dolgui; Alain Bernard; David Lemoine; Gregor von Cieminski; David Romero (Ed.), Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems: IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part IV. Paper presented at IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021 (pp. 523-533). Cham: Springer
Smart body-close technology for increased safety and health in the process industry [2019-02513_Vinnova]; University of SkövdeSurvey of Maker Space in Sweden with relevance to production [2019-05537_Vinnova]; University of Skövde
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ORCID iD: ORCID iD iconorcid.org/0000-0003-3973-3394

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