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Publications (10 of 37) Show all publications
De Vin, L., Odhe, J., Jacobsson, L. & Säfström, M. (2019). Lean Production Simulators: From Training Environments to Innovation Testbeds. In: Y. Jin and M. Price (Ed.), Advances in Manufacturing Technology XXXIII: . Paper presented at International Conference on Manufacturing Research (pp. 461-466). Amsterdam: IOS Press, 9
Open this publication in new window or tab >>Lean Production Simulators: From Training Environments to Innovation Testbeds
2019 (English)In: Advances in Manufacturing Technology XXXIII / [ed] Y. Jin and M. Price, Amsterdam: IOS Press, 2019, Vol. 9, p. 461-466Conference paper, Published paper (Refereed)
Abstract [en]

 Models for continuous improvement processes and for game-based learning currently have some drawbacks. Based on work with Karlstad Lean Factory®, a dual model for game-based learning and improvement processes is presented. This model also shows instructional scaffolding, and there is evidence that its use stimulates training transfer. A natural step is to extend the use of fullscale lean production simulators to a novel use as innovation testbeds. This can lower the threshold for production innovation in SMEs. A small case study shows how this novel use can be organised, with several benefits for the company.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2019
Series
Advances in Manufacturing Technology, ISSN 1367-6342 ; XXXIII
Keywords
Lean Production, Training Within Industry, Innovation Testbeds
National Category
Engineering and Technology
Research subject
Mechanical Engineering
Identifiers
urn:nbn:se:kau:diva-74786 (URN)10.3233/ATDE190081 (DOI)978-1-64368-008-8 (ISBN)978-1-64368-009-5 (ISBN)
Conference
International Conference on Manufacturing Research
Projects
Karlstad Lean Factory - genomförandefas
Funder
European Regional Development Fund (ERDF), 20201681Region Värmland
Available from: 2019-09-18 Created: 2019-09-18 Last updated: 2020-01-24Bibliographically approved
De Vin, L., Jacobsson, L. & Odhe, J. (2019). Simulator-assisted lean production training. Production & Manufacturing Research, 7(1), 433-447
Open this publication in new window or tab >>Simulator-assisted lean production training
2019 (English)In: Production & Manufacturing Research, ISSN 2169-3277, Vol. 7, no 1, p. 433-447Article in journal (Refereed) Published
Abstract [en]

In Lean Production training and education, simulators are often used.These can take the form of for instance desktop games, computersimulations, or full-scale simulators. Many training participants perceivemodels for experiential learning and for continuous improvementprocesses as complex and abstract. Based on experiences from trainingsessions in a full-scale simulator Karlstad Lean Factory®, a unifiedmodelfor learning and improvementwork is presented. Thismodel stimulatestraining transfer and is perceived as intuitive. It also shows instructionalscaffolding as a learning method. Suggestions for future work includeinvestigating synergy with Smart Manufacturing and the use of LeanProduction simulators for innovative product realisation.

Place, publisher, year, edition, pages
Taylor & Francis, 2019
Keywords
Lean production; training within industry; training transfer; instructional scaffolding; Karlstad Lean Factory®
National Category
Engineering and Technology
Research subject
Mechanical Engineering
Identifiers
urn:nbn:se:kau:diva-73609 (URN)10.1080/21693277.2019.1644248 (DOI)000476615100001 ()
Projects
Karlstad Lean Factory - genomförandefas (KLF2)
Funder
European Regional Development Fund (ERDF), 20201681Region Värmland, RV2018-51
Available from: 2019-07-22 Created: 2019-07-22 Last updated: 2020-01-24Bibliographically approved
De Vin, L., Jacobsson, L. & Odhe, J. (2018). Game-based Lean Production training of university students and industrial employees. Procedia Manufacturing, 25, 578-585
Open this publication in new window or tab >>Game-based Lean Production training of university students and industrial employees
2018 (English)In: Procedia Manufacturing, E-ISSN 2351-9789, Vol. 25, p. 578-585Article in journal (Refereed) Published
Abstract [en]

Production simulation games are increasingly popular for training students and industrial employees in Lean Production principles. They range from paper- or desktop-based games to full scale simulators and proper manufacturing machinery. This paper reports on experiences from using both desktop games and a full scale simulator. Desktop games are suitable when training people who already have a fair understanding of lean principles. Shop floor workers usually have difficulties in seeing analogies between desktop games and their work environment. For both students and industrial workers, training effects and immersion tend to be higher when using full scale simulators.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
Lean Production; Lean Games; Experiential Learning, Simulation, Industrial Training, Training Within Industry
National Category
Mechanical Engineering
Research subject
Mechanical Engineering; Education
Identifiers
urn:nbn:se:kau:diva-67388 (URN)10.1016/j.promfg.2018.06.098 (DOI)
Projects
Förstudie - Karlstad Lean Factory
Funder
Region Värmland, 2016-380European Regional Development Fund (ERDF), 20201147
Available from: 2018-07-25 Created: 2018-07-25 Last updated: 2020-01-24Bibliographically approved
De Vin, L., Jacobsson, L. & Odhe, J. (2018). Simulator-Assisted Lean Production Training and Education. In: P. Thorvald and K. Case (Ed.), Advances in manufacturing technology: . Paper presented at 16th International Conference on Manufacturing Research (ICMR) / 33rd National Conference on Manufacturing Research (NCMR) (pp. 487-492). Amsterdam: IOS Press
Open this publication in new window or tab >>Simulator-Assisted Lean Production Training and Education
2018 (English)In: Advances in manufacturing technology / [ed] P. Thorvald and K. Case, Amsterdam: IOS Press, 2018, p. 487-492Conference paper, Published paper (Refereed)
Abstract [en]

In Lean Production training and education, simulators are often used. These can take the form of for instance desktop games, computer simulations, or full-scale simulators. Most evidence of training transfer from the training environment to the work situation is anecdotal, and as such is assessment of training transfer a research gap. Experiences from training sessions in Karlstad Lean Factory® are presented, including a combination with computer simulation. A unified model for learning and improvement work is presented. Some suggestions for future work include investigating synergy with Smart Manufacturing and/or innovative product realization.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2018
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 8
Keywords
Engineering Education, Training Within Industry, Lean Production, Karlstad Lean Factory®.
National Category
Mechanical Engineering
Research subject
Education; Mechanical Engineering
Identifiers
urn:nbn:se:kau:diva-67390 (URN)10.3233/978-1-61499-902-7-487 (DOI)000462212700078 ()978-1-61499-901-0 (ISBN)978-1-61499-902-7 (ISBN)
Conference
16th International Conference on Manufacturing Research (ICMR) / 33rd National Conference on Manufacturing Research (NCMR)
Projects
Förstudie - Karlstad lean FactoryKarlstad Lean Factory genomförandefas (KLF2)
Funder
European Regional Development Fund (ERDF), 20201147Region Värmland, 2016-380European Regional Development Fund (ERDF), 20201681Region Värmland, RV2018-51
Available from: 2018-09-20 Created: 2018-09-20 Last updated: 2020-01-24Bibliographically approved
De Vin, L. & Jacobsson, L. (2017). Karlstad Lean Factory: An instructional factory for game-based lean manufacturing training. Production & Manufacturing Research, 5(1), 268-283
Open this publication in new window or tab >>Karlstad Lean Factory: An instructional factory for game-based lean manufacturing training
2017 (English)In: Production & Manufacturing Research, ISSN 2169-3277, Vol. 5, no 1, p. 268-283Article in journal (Refereed) Published
Abstract [en]

Simulation for training lean manufacturing ranges from simple paper-based or LEGO®-based games to larger scale simulation environments, for instance push car assembly. Some models for game-based learning are discussed and a model for lean manufacturing training is adopted . Many types of simulation may be suitable for teaching some basic elements of Lean manufacturing to students, but they are often less suitable for training industry workers in applying Lean manufacturing in their work environment. The latter group is more used to intuitive learning than to formal instruction. Thus, it is important that a training environment for this group more realistically represents the work environment; otherwise training transfer will be limited. For this reason, a lean training environment that includes materials processing stations as well as assembly areas was created. The stations exhibit some realistic behaviour such as stochastic breakdowns. Based on a comparison between factory workers and university students, five hypotheses for testing in future work are proposed.

Place, publisher, year, edition, pages
Taylor & Francis, 2017
Keywords
lean manufacturing; experiential learning; industrial training; serious gaming
National Category
Engineering and Technology Mechanical Engineering
Research subject
Mechanical Engineering
Identifiers
urn:nbn:se:kau:diva-64235 (URN)10.1080/21693277.2017.1374886 (DOI)000417212900001 ()
Available from: 2017-09-27 Created: 2017-09-27 Last updated: 2020-01-24Bibliographically approved
De Vin, L., Jacobsson, L., Odhe, J. & Wickberg, A. (2017). Lean Production Training for the Manufacturing Industry: Experiences from Karlstad Lean Factory. Paper presented at 27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017. Procedia Manufacturing, 11, Article ID 1019-1026.
Open this publication in new window or tab >>Lean Production Training for the Manufacturing Industry: Experiences from Karlstad Lean Factory
2017 (English)In: Procedia Manufacturing, E-ISSN 2351-9789, Vol. 11, article id 1019-1026Article in journal (Refereed) Published
Abstract [en]

Both literature and manufacturing companies state that simulators for providing training in lean production to industrialemployees must be similar to the work environment. This motivated the design of Karlstad Lean Factory, which is a trainingenvironment that realistically resembles an industrial environment. It is a full-scale training facility that incorporates acombination of materials processing and assembly. Parameters such as processing times, breakdown intervals and repair typescan be set. Examples of basic and more advanced training scenarios are given. Experiences from training groups of industrialemployees are described; inhomogeneity of these groups requires some specific attention.

Place, publisher, year, edition, pages
Elsevier, 2017
Keywords
Lean Production; Serious Gaming; Industrial Training; Experiential Learning; Instructional Factory
National Category
Engineering and Technology Mechanical Engineering
Research subject
Mechanical Engineering; Mechanical Engineering
Identifiers
urn:nbn:se:kau:diva-62701 (URN)10.1016/j.promfg.2017.07.208 (DOI)000419072100119 ()
Conference
27th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2017
Projects
Karlstad Lean Factory - förstudie
Funder
Region Värmland, RV2016-380Swedish Agency for Economic and Regional Growth, 20201147
Available from: 2017-08-18 Created: 2017-08-18 Last updated: 2020-01-24Bibliographically approved
Jacobsson, L., Wickberg, A. & De Vin, L. (2016). A Realistic Lean Training Environment for the Manufacturing Industry: Karlstad Lean Factory. In: : . Paper presented at The 7th International Swedish Production Symposium, 25th – 27th of October 2016.
Open this publication in new window or tab >>A Realistic Lean Training Environment for the Manufacturing Industry: Karlstad Lean Factory
2016 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Simulation for training lean manufacturing ranges from simple paper-based or LEGO®-based games to larger scale simulation environments, for instance push car assembly. Whilst such simulations may be suitable for educating students, they are often less suitable for training industry workers. The latter group is more diverse and is more used to intuitive learning than to formal instruction. Thus, it is important that a training environment for this group more realistically represents the work environment; otherwise training transfer will be limited. For this reason, a lean training environment that includes materials processing stations as well as assembly areas was created. The stations exhibit some realistic behaviour such as stochastic breakdowns. Based on a comparison between factory workers and university students, hypotheses for testing in future work are proposed.

Keywords
Lean Manufacturing, Serious Gaming, Experiential Learning, Industrial Training, Professional Development, Life Long Learning
National Category
Mechanical Engineering
Research subject
Mechanical Engineering
Identifiers
urn:nbn:se:kau:diva-46973 (URN)
Conference
The 7th International Swedish Production Symposium, 25th – 27th of October 2016
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2020-01-24Bibliographically approved
Jacobsson, L., Wickberg, A. & De Vin, L. (2016). Creating Industrially Relevant Environments for Teaching Lean Manufacturing at Karlstad University. In: Y.M. Goh and K. Case (Ed.), Advances in Manufacturing Technology XXX: . Paper presented at ICMR 2016 June 20-22, Indian Institute of Science, Bangalore, India 2016 (pp. 514-519). IOS Press, 3
Open this publication in new window or tab >>Creating Industrially Relevant Environments for Teaching Lean Manufacturing at Karlstad University
2016 (English)In: Advances in Manufacturing Technology XXX / [ed] Y.M. Goh and K. Case, IOS Press, 2016, Vol. 3, p. 514-519Conference paper, Published paper (Refereed)
Abstract [en]

Simulation for training lean manufacturing ranges from simple paperbasedor LEGO®-based games to larger scale simulation environments, forinstance push car assembly. Whilst such simulations may be suitable for educatingstudents, they are often less suitable for training industry workers. The latter groupis more diverse and is more used to intuitive learning than to formal instruction.Thus, it is important that the training environment for this group more realisticallyrepresents the work environment; otherwise training transfer will be limited. Forthis reason, a lean training environment that includes materials processing stationsas well as assembly areas was created. The stations exhibit some realisticbehaviour such as stochastic breakdowns.

Place, publisher, year, edition, pages
IOS Press, 2016
Series
Advances in Manufacturing Technology ; XXX
Keywords
Lean Manufacturing, Experiential Learning, Industrial Training
National Category
Materials Engineering
Research subject
Materials Engineering
Identifiers
urn:nbn:se:kau:diva-45878 (URN)10.3233/978-1-61499-668-2-514 (DOI)000383745300083 ()
Conference
ICMR 2016 June 20-22, Indian Institute of Science, Bangalore, India 2016
Available from: 2016-09-14 Created: 2016-09-14 Last updated: 2020-01-24Bibliographically approved
De Vin, L. (2015). Simulation, Models, and Results: Reflections on their Nature and Credibility. In: Chike F. Oduoza (Ed.), Proceedings of Flexible Automation and Intelligent Manufacturing, FAIM2015, Wolverhampton, UK: . Paper presented at Flexible Automation and Intelligent Manufacturing, FAIM2015, 23 - 26 June 2015 at the University of Wolverhampton, UK. (pp. 148-155). Wolverhampton, UK: The Choir Press
Open this publication in new window or tab >>Simulation, Models, and Results: Reflections on their Nature and Credibility
2015 (English)In: Proceedings of Flexible Automation and Intelligent Manufacturing, FAIM2015, Wolverhampton, UK / [ed] Chike F. Oduoza, Wolverhampton, UK: The Choir Press , 2015, p. 148-155Conference paper, Published paper (Refereed)
Abstract [en]

Simulation tools are widely used across the product, process and resource domains of product- and production development. This paper discusses the nature of simulation models and the wide use of simulation models .It uses virtual manufacturing, in particular discrete event simulation project methodology, as an example to elucidate important aspects of simulation, in particular human roles and some selected project phases of which verification and validation in relation to the simulation’s intended purpose are discussed in particular. The paper uses the NASA CAS model for credibility assessment of simulations to arrive at a schematic representation of how overall credibility as composed of aspect related to the model, the data, and the model’s use.

Place, publisher, year, edition, pages
Wolverhampton, UK: The Choir Press, 2015
Keywords
Simulation, Modelling, Validation, Credibility
National Category
Other Engineering and Technologies Other Computer and Information Science Mechanical Engineering
Identifiers
urn:nbn:se:kau:diva-36894 (URN)978-1-910864-00-5 (ISBN)
Conference
Flexible Automation and Intelligent Manufacturing, FAIM2015, 23 - 26 June 2015 at the University of Wolverhampton, UK.
Available from: 2015-06-27 Created: 2015-06-27 Last updated: 2020-01-24Bibliographically approved
De Vin, L. & Solis, J. (Eds.). (2014). Proceedings of the 14th Mechatronics Forum International Conference Mechatronics 2014. Paper presented at Mechatronics 2014, The 14th Mechatronics Forum International ConferenceKarlstad, Sweden, June 16-18. Karlstad, Sweden: Karlstads universitet
Open this publication in new window or tab >>Proceedings of the 14th Mechatronics Forum International Conference Mechatronics 2014
2014 (English)Conference proceedings (editor) (Refereed)
Place, publisher, year, edition, pages
Karlstad, Sweden: Karlstads universitet, 2014. p. 657
Keywords
Mechatronics
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kau:diva-32316 (URN)978-91-7063-564-9 (ISBN)
Conference
Mechatronics 2014, The 14th Mechatronics Forum International ConferenceKarlstad, Sweden, June 16-18
Note

Editorial: Welcome to Mechatronics 2014 in Karlstad, Sweden

With the 14th Mechatronics Forum International Conference, we celebrate 25 years of Mechatronics Forum conferences. Ever since the first conference in 1989 in Lancaster, the conference has succeeded in bringing together mechatronics experts, academic researchers and industrial practitioners alike, from all over the world in order to present and discuss new results and trends in mechatronics and to act as a stimulus for intensifying mechatronic approaches in research and product development. With its track record, the Mechatronics Forum conferences are the oldest series of mechatronics conferences still running.

With the 2014 event, jointly organised by Karlstad University and the University of Skövde with financial support from the City of Karlstad, the conference sets foot on Swedish soil for the second time in its history. This conference would not have been possible without the dedication en enthusiasm of many key players. Philip Moore and Andrew Plummer were among the people guiding the conference from the side of the Institution of Mechanical Engineers. Rudolf Scheidl, chairman of the preceding conference in Linz, provided much useful feedback and stimulated us to continue along the path of mini-symposia. Maria Kull handled all the registration issues as well as the local arrangements. Members of the International Programme Committee took various roles, not only in dedicating valuable time to actively reviewing submitted papers but also in identifying Keynote Speakers and in introducing new faces to the conference community. Through attracting new research communities and groups to the conference, the conference is continuously being renewed and enriched. This also demonstrates the high and ever increasing relevance of mechatronics as a research and applications field, which is the basis for the long-standing success of the conference series.

Mechatronics is sometimes associated with large complex systems. While such systems obviously provide some “show cases” for mechatronics, mechatronics becomes more and more important in our everyday life. Today, many consumer products are to some degree mechatronic products. Furthermore, the papers in this conference witness of the increasing role for mechatronics in environmental and social sustainability. Examples of the former are energy harvesting and minimization of energy requirements, for instance miniature sensors that harvest their own energy. Examples of the latter are many papers related to assisted living, which is important for an ageing population and for an inclusive society in which people with impairments can participate actively.

The proceedings of the 14th conference contain about 90 papers which are the result of a reviewing process that started off with over 140 abstracts submitted. This shows that the reviewing process has been rigorous to ensure that only papers of highest quality were accepted for publication and oral presentation. At the same time, many of the final papers included in the proceedings are authored or co-authored by research students, showing that the conference not only seeks to include new groups of senior researchers and industrial practitioners, but also embraces talented young researchers.

The Keynote talks will be delivered by four distinguished speakers: Prof. David Bradley will present “Mechatronics – Past, Present and Future”, Prof. Robert Gao “Intelligent Mechatronics for Advanced Manufacturing”, Prof. Shigeki Sugano “Human Symbiotic Robot - Design and Human Interaction”, and Prof. Rüdiger Dillmann “Status and recent progress towards interactive cognitive robot systems”.

The aim of this publication is to present the research results in mechatronics that are now state of the art, and indicate the possible future lines of development. The reader will appreciate the current challenges in modeling, control, actuation, sensing of mechatronics systems and the associated applications in industry and in society.

Leo J De Vin, Jorge Solis

Editors

Available from: 2014-06-05 Created: 2014-06-05 Last updated: 2020-01-24Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-3108-6893

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