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Larsson, Tobias, ProfessorORCID iD iconorcid.org/0000-0002-9662-4576
Alternative names
Biography [eng]

Professor Tobias C. Larsson (TCL), born 1972, got his PhD at Luleå University of Technology in 2001 within the area of simulation driven design within a product development context. The applications were within automotive, and high-speed train sector. Special emphasis was on multi-body dynamics and simulation driven design within a product development context.

The core of today is within the Engineering Design Research area, where the focus is on developing methods and tools for engineering product development and simulation applications in industrial settings. Value modelling and simulation, knowledge management, and innovation engineering capability is of extra interest in the research

Biography [swe]

Professor Tobias C. Larsson (TCL), född 1972, disputerade vid Luleå tekniska universitet år 2001 inom området simuleringsdriven produktutveckling. Tillämpningarna var inom bilindustri och höghastighetståg. Särskild tonvikt låg på stelkroppsdynamik och simuleringsdriven utveckling i ett produktframtagningsperspektiv.

Kärnan i dag är inom teknisk konstruktion och produktutveckling, där fokus är på att utveckla metoder och verktyg för teknisk produktutveckling och simuleringsapplikationer med industriell tillämpning. Värdemodellering och simulering, kunskapsbaserade system, och innovationsteknik är av extra intresse inom dessa maskintekniska områden.

Publications (10 of 120) Show all publications
Wall, J., Bertoni, M. & Larsson, T. (2018). A model-driven decision arena: Augmenting decision making in early design. In: Proceedings of NordDesign: Design in the Era of Digitalization, NordDesign 2018: . Paper presented at 13th Biennial Norddesign Conference, NordDesign 2018; Linkoping. The Design Society, Code 141730
Open this publication in new window or tab >>A model-driven decision arena: Augmenting decision making in early design
2018 (English)In: Proceedings of NordDesign: Design in the Era of Digitalization, NordDesign 2018, The Design Society, 2018, Vol. Code 141730Conference paper, Published paper (Refereed)
Abstract [en]

A wide variety of expert competencies, transcending traditional disciplines, are needed to foresee and evaluate the impact of decisions in the conceptual phase of engineering design. Where this previously was a trade-off regarding design and development of the pure physical artefact it is now a complex ambiguity game involving all disciplines touching a solution during its lifecycle, due to the movement towards integrated product-service solutions. Gathering the involved, normally diverse, group of stakeholders in a collaborative setting for design exploration exercises, sharing knowledge and values, is believed to augment decision making ability in early design. A model-driven environment for collaborative decision making is proposed as a solution that potentially may help harvesting these benefits. In this environment stakeholders interact with each other using digital models, model generated information, simulation data and product data collected in the field in order to evaluate design proposals by playing out potential usage scenarios and investigating cause and effect relationships. Initial work on conceptualizing, developing, and testing such an environment is done through a pilot study based on two industrial use cases. The development process iteratively unveils demands and constraints related to the environment. These discoveries go hand in hand with developing an infrastructure regarding both hardware and software as well as required human resources in a functional environment. Fully realizing the envisioned model-driven environment for collaborative decision making entails new ways of working requiring new knowledge as well as technological innovation. In that aspect, environment infrastructure and usage are elaborated on and direction for further research and development is indicated.

Place, publisher, year, edition, pages
The Design Society, 2018
Keywords
Model-driven design, Conceptual design, Design exploration, Visualization, Multi-stakeholder, Decision making, Digitalisation
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:bth-16163 (URN)9789176851852 (ISBN)
Conference
13th Biennial Norddesign Conference, NordDesign 2018; Linkoping
Funder
Knowledge Foundation
Available from: 2018-05-09 Created: 2018-05-09 Last updated: 2018-12-13Bibliographically approved
Ruvald, R., Frank, M., Johansson, C. & Larsson, T. (2018). Data Mining through Early Experience Prototyping: A step towards Data Driven Product Service System Design. In: IFAC PAPERSONLINE: . Paper presented at 16th IFAC Symposium on Information Control Problems in Manufacturing, Bergamo (pp. 1095-1100). Elsevier, 51(11), Article ID 11.
Open this publication in new window or tab >>Data Mining through Early Experience Prototyping: A step towards Data Driven Product Service System Design
2018 (English)In: IFAC PAPERSONLINE, Elsevier, 2018, Vol. 51, no 11, p. 1095-1100, article id 11Conference paper, Published paper (Refereed)
Abstract [en]

The construction industry is ripe for disruption through innovative solutions that provide added productivity. Equipment manufacturers are attempting to disrupt their industry with investments in autonomy, electrification and product-service system business models. Designing solutions that will operate in completely new systems or modify an existing complex system require new approaches to address the uncertainty of system impacts. An iterative approach can help tackle ambiguity through cyclical validation of design decisions. Data mining in each cycle adds a quantitative dimension to the rationale of decision making, but data is sparse and difficult to collect in parallel with design of theoretical product-service systems operating in future scenarios. This can be combated using experiential prototyping techniques to design flexible infrastructure that supports contextualized data gathering in a variety of focused design sprints using Design, Build and Test approach. The intricacy of designing innovative solutions to increase productivity in the construction industry can be untangled by framing aspects of the problem in small sprints and testing them in a contextualized setting built to generate functional data to drive design.

Place, publisher, year, edition, pages
Elsevier, 2018
Series
IFAC PAPERSONLINE, ISSN 2405-8963 ; 51
Keywords
​Product Service System, Data Mining, Experience Prototyping, New Machine Development
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:bth-16395 (URN)10.1016/j.ifacol.2018.08.458 (DOI)000445651000183 ()
Conference
16th IFAC Symposium on Information Control Problems in Manufacturing, Bergamo
Projects
Model Driven Development and Decision Support
Funder
Knowledge Foundation, 20120278
Available from: 2018-06-11 Created: 2018-06-11 Last updated: 2018-10-30Bibliographically approved
Jagtap, S. & Larsson, T. (2018). Design and Frugal Innovations: Three roles of resource-poor people. In: D. Marjanović, M. Štorga, S. Škec, N. Bojčetić, N. Pavković (Ed.), Proceedings of the International Design Conference: . Paper presented at 15th International Design Conference, Dubrovnik (pp. 2657-2668). The Design Society
Open this publication in new window or tab >>Design and Frugal Innovations: Three roles of resource-poor people
2018 (English)In: Proceedings of the International Design Conference / [ed] D. Marjanović, M. Štorga, S. Škec, N. Bojčetić, N. Pavković, The Design Society, 2018, p. 2657-2668Conference paper, Published paper (Refereed)
Abstract [en]

Design is imperative to satisfy needs of people in resource-limited societies. Many design studies have been carried out in the context of such societies in developing countries, and are discussed under names such as humanitarian engineering, frugal innovations, appropriate technology, design at the Base of the Pyramid, design for development, etc. In this paper, we review a wide range of literature, with close analysis of 30 design studies in this field to understand how marginalised people were engaged and positioned in those studies and to plan for future research in this field.

Place, publisher, year, edition, pages
The Design Society, 2018
Keywords
social innovation, design research, co-design, frugal innovation, poverty
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:bth-16162 (URN)10.21278/idc.2018.0152 (DOI)9789537738594 (ISBN)
Conference
15th International Design Conference, Dubrovnik
Projects
Model Driven Development and Decision Support - MD3S
Funder
Knowledge Foundation, 20120278
Note

open access

Available from: 2018-05-09 Created: 2018-05-09 Last updated: 2018-10-31Bibliographically approved
Eivazzadeh, S., Sanmartin Berglund, J., Larsson, T., Fiedler, M. & Anderberg, P. (2018). Most Influential Qualities in Creating Satisfaction Among the Users of Health Information Systems: A Study in Seven EU Countries. JMIR Medical Informatics, 6(4), 3-21
Open this publication in new window or tab >>Most Influential Qualities in Creating Satisfaction Among the Users of Health Information Systems: A Study in Seven EU Countries
Show others...
2018 (English)In: JMIR Medical Informatics, Vol. 6, no 4, p. 3-21Article in journal (Refereed) Published
Abstract [en]

Background:

Several models suggest how the qualities of a product or service influence user satisfaction. Models, such as the Customer Satisfaction Index (CSI), Technology Acceptance Model (TAM), and Delone and McLean Information Systems Success (D&M IS), demonstrate those relations and have been used in the context of health information systems.

Objective:

We want to investigate which qualities foster greater satisfaction among patient and professional users. In addition, we are interested in knowing to what extent improvement in those qualities can explain user satisfaction and if this makes user satisfaction a proxy indicator of those qualities.

Methods:

The Unified eValuation using ONtology (UVON) method was utilised to construct an ontology of the required qualities for seven e-health applications being developed in the FI-STAR project, a European Union (EU) project in e-health. The e-health applications were deployed across seven EU countries. The ontology included and unified the required qualities of those systems together with the aspects suggested by the Model for ASsessment of Telemedicine applications (MAST) evaluation framework. Two similar questionnaires, for 87 patient users and 31 health professional users, were elicited from the ontology. In the questionnaires, user was asked if the system has improved the specified qualities and if the user was satisfied with the system. The results were analysed using Kendall correlation coefficients matrices, incorporating the quality and satisfaction aspects. For the next step, two Partial Least Squares Structural Equation Modelling (PLS-SEM) path models were developed using the quality and satisfaction measure variables and the latent construct variables that were suggested by the UVON method.

Results:

Most of the quality aspects grouped by the UVON method are highly correlated. Strong correlations in each group suggest that the grouped qualities can be measures which reflect a latent quality construct. The PLS-SEM path analysis for the patients reveals that the effectiveness, safety, and efficiency of treatment provided by the system are the most influential qualities in achieving and predicting user satisfaction. For the professional users, effectiveness and affordability are the most influential. The parameters of the PLS-SEM that are calculated allow for the measurement of a user satisfaction index similar to CSI for similar health information systems.

Conclusions:

For both patients and professionals, the effectiveness of systems highly contributes to their satisfaction. Patients care about improvements in safety and efficiency, while professionals care about improvements in the affordability of treatments with health information systems. User satisfaction is reflected more in the users' evaluation of system output and fulfilment of expectations, but slightly less in how far the system is from ideal. Investigating satisfaction scores can be a simple, fast way to infer if the system has improved the abovementioned qualities in treatment and care.

Place, publisher, year, edition, pages
JMIR Publications, 2018
Keywords
Health Information Systems, Telemedicine, Evaluation Studies as Topic, Consumer Behavior, Treatment Outcome, Safety, Efficiency, Health Care Costs, Ontology Engineering, Equation Models
National Category
Other Health Sciences
Identifiers
urn:nbn:se:bth-16998 (URN)10.2196/11252 (DOI)000454162600001 ()
Projects
MD3S
Note

Open access

Available from: 2018-09-13 Created: 2018-09-13 Last updated: 2019-01-10Bibliographically approved
Nurhadi, L., Borén, S., Ny, H. & Larsson, T. (2017). Competitiveness and Sustainability Effects of Cars and their Business Models in Swedish Small Town Regions. Journal of Cleaner Production, 140(Part 1), 333-348
Open this publication in new window or tab >>Competitiveness and Sustainability Effects of Cars and their Business Models in Swedish Small Town Regions
2017 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 140, no Part 1, p. 333-348Article in journal (Refereed) Published
Abstract [en]

This article aims to develop and test a new approach for comparing sustainability effects (mainly approximated through CO2 emissions) and the total cost of ownership of various business models (Regular Purchasing, Car Pooling, Car Leasing, and Taxiing) applied to private cars with different energy carriers (Biogas, Ethanol, Gasoline, Plug-in Hybrid, and Electric). The results indicate that, out of all of the vehicles, electric vehicles are the most competitive—from both an ecological and economic perspective. Moreover, of all of the business models, Car Pooling is the most competitive when driving short to medium distances, reducing CO2 emissions by 20-40% compared with Regular Purchasing. Meanwhile, Car Leasing emits the same amount of CO2 emissions as Regular Purchasing if both are driven the same number of kilometers per year. The results also indicate that, from a cost effectiveness perspective, people who travel less than 2000 km per year should primarily consider using Taxis or similar services, while Car Pooling is most cost effective for those who travel from 2000 to 8500 km. For those who travel between 8500 and 13500 km per year, Car Leasing is the most cost effective, and Regular Purchasing is the best option above 13500 km per year. If most car owners were to accept and adapt to this identified need for a market move towards Car Pooling with Electric Vehicles, necessary transportation could be ensured while significantly reducing the number of cars on the road, whether from Regular Purchasing or Car Leasing, as well as those that run on fossil fuel. This, in turn, would result in less fossil fuel use, fewer emissions, and decreased negative effects on human health.

Place, publisher, year, edition, pages
Elsevier, 2017
Keywords
Business modeling; Sustainable transport, Total Cost of Ownership, Electric car, Fossil-fueled car, Life cycle costing
National Category
Environmental Analysis and Construction Information Technology Business Administration
Identifiers
urn:nbn:se:bth-11835 (URN)10.1016/j.jclepro.2016.04.045 (DOI)000388775100031 ()
Available from: 2016-04-24 Created: 2016-04-24 Last updated: 2018-09-05Bibliographically approved
Bertoni, A. & Larsson, T. (2017). Data Mining in Product Service Systems Design: Literature Review and Research Questions. In: Tim C. McAloone, Daniela C.A. Pigosso, Niels Henrik Mortensen and Yoshiki Shimomura (Ed.), Procedia CIRP: . Paper presented at 9th CIRP Conference on Industrial Product/Service-Systems (IPSS), Copenhagen (pp. 306-311). Elsevier, 64
Open this publication in new window or tab >>Data Mining in Product Service Systems Design: Literature Review and Research Questions
2017 (English)In: Procedia CIRP / [ed] Tim C. McAloone, Daniela C.A. Pigosso, Niels Henrik Mortensen and Yoshiki Shimomura, Elsevier, 2017, Vol. 64, p. 306-311Conference paper, Published paper (Refereed)
Abstract [en]

The paper presents a literature review about data mining applications in Product/Service-Systems (PSS) design. A systematic literature review, combined with snowballing techniques, has been run to identify relevant contributions in the area. The analysis has focused on the categorization of the contributions according to their impact on the PSS design process and according to their theoretical or empirical nature. A picture of the different research achievements for each stage of the PSS design process have been drawn, identifying the research gaps in respect to the challenges of PSS design. Based on the analysis the paper proposes a set of research questions for each PSS design stage with the intent of facilitating the application of data mining techniques in PSS design, and ultimately push forward the state of the art.

Place, publisher, year, edition, pages
Elsevier, 2017
Series
Procedia CIRP, ISSN 2212-8271
Keywords
Product-service systems design; data mining; research questions; literature review.
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:bth-14452 (URN)10.1016/j.procir.2017.03.131 (DOI)000414528200052 ()
Conference
9th CIRP Conference on Industrial Product/Service-Systems (IPSS), Copenhagen
Projects
Model Driven Development and Decision Support - MD3S
Funder
Knowledge Foundation
Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2017-11-24Bibliographically approved
Jaghbeer, Y., Hallstedt, S., Larsson, T. & Wall, J. (2017). Exploration of Simulation-Driven Support Tools for Sustainable Product Development. In: Tim C. McAloone, Daniela C.A. Pigosso, Niels Henrik Mortensen and Yoshiki Shimomura (Ed.), Procedia CIRP: . Paper presented at 9th CIRP Conference on Industrial Product/Service-Systems (IPSS), Copenhagen (pp. 271-276). Elsevier, 64
Open this publication in new window or tab >>Exploration of Simulation-Driven Support Tools for Sustainable Product Development
2017 (English)In: Procedia CIRP / [ed] Tim C. McAloone, Daniela C.A. Pigosso, Niels Henrik Mortensen and Yoshiki Shimomura, Elsevier, 2017, Vol. 64, p. 271-276Conference paper, Published paper (Refereed)
Abstract [en]

Global society is encountering many challenges such as climate change, resource depletion, etc., which comes with a set of challenges and opportunities for businesses. Applied research in operational tools and methods that support sustainable product- and service systems innovation, aims to strengthen businesses to overcome these challenges. In recent years, several tools and methods have been developed in the sustainable product development field with focus on modelling and digitalization. This paper explores how sustainability has been integrated in modelling and simulation, and presents results from a literature review with the purpose of highlighting opportunities and challenges in the field. Furthermore, an initial model-based engineering support toolbox (MBE) is presented, with focus on support tools for socio-ecological sustainability integration in the early product development stages.

Place, publisher, year, edition, pages
Elsevier, 2017
Series
Procedia CIRP, ISSN 2212-8271
Keywords
Sustainable product development; simulation-driven models; support tools; sustainable PSS
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:bth-14451 (URN)10.1016/j.procir.2017.03.069 (DOI)000414528200046 ()
Conference
9th CIRP Conference on Industrial Product/Service-Systems (IPSS), Copenhagen
Projects
Model Driven Development and Decision Support - MD3S
Funder
Knowledge Foundation
Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2018-01-16Bibliographically approved
Bertoni, A., Larsson, T., Larsson, J. & Elfsberg, J. (2017). Mining data to design value: a demonstrator in early design. In: Fadel G.,Salustri F.,Kim H.,Skec S.,Van der Loos M.,Maier A.M.,Kokkolaras M.,Oehmen J. (Ed.), Proceedings of the International Conference on Engineering Design, ICED: . Paper presented at ICED17 21st International Conference on Engineering Design, Vancouver (pp. 21-29). The Design Society, 7, Article ID DS87-7.
Open this publication in new window or tab >>Mining data to design value: a demonstrator in early design
2017 (English)In: Proceedings of the International Conference on Engineering Design, ICED / [ed] Fadel G.,Salustri F.,Kim H.,Skec S.,Van der Loos M.,Maier A.M.,Kokkolaras M.,Oehmen J., The Design Society, 2017, Vol. 7, p. 21-29, article id DS87-7Conference paper, Published paper (Refereed)
Abstract [en]

The paper presents a study run to verify the applicability of data mining algorithms as

decision support in early design stages of a product development project. The paper

describes a two-stage scenario providing the rationale for the application of data science in

engineering design. Furthermore, it describes a demonstrator showing how data can be fed

back to the early design stages and can be used to populate models to reduce uncertainty in

decision making. A wheel loader for constructions works is the reference product for the

demonstration. Data mining is applied on a dataset built on machine performances and

contextual and environmental data. The demonstrator focuses on the estimation of the fuel

consumption of alternative design concepts and estimates the performance variations given

different contextual variable. Finally, a way of visualizing the results of the data analysis in

relation to the tested and expected performances is presented.

Place, publisher, year, edition, pages
The Design Society, 2017
Keywords
Early design decision, Data Mining, Value Driven Design, Decision making, Demonstrator
National Category
Engineering and Technology Mechanical Engineering
Identifiers
urn:nbn:se:bth-14999 (URN)
Conference
ICED17 21st International Conference on Engineering Design, Vancouver
Projects
KKS MD3S Research Profile
Available from: 2017-08-15 Created: 2017-08-15 Last updated: 2017-10-06Bibliographically approved
Johansson, C., Larsson, T. & Tatipala, S. (2017). Product-Service Systems for Functional Offering of Automotive Fixtures: Using Design Automation as Enabler. In: Procedia CIRP: 9th CIRP Conference on Industrial Product/Service-Systems (IPSS), Copenhagen. Paper presented at 9th CIRP Conference on Industrial Product/Service-Systems (IPSS), Copenhagen (pp. 411-416). Elsevier, 64
Open this publication in new window or tab >>Product-Service Systems for Functional Offering of Automotive Fixtures: Using Design Automation as Enabler
2017 (English)In: Procedia CIRP: 9th CIRP Conference on Industrial Product/Service-Systems (IPSS), Copenhagen, Elsevier, 2017, Vol. 64, p. 411-416Conference paper, Published paper (Refereed)
Abstract [en]

In production of automotive components, control-measuring is an important activity to assure that geometries meet expected tolerances. This is done via randomly taking parts out of production for control-measuring in a fixture. This fixture is both a tedious and repetitive product to design and configure. The aim of this paper is therefore to present an approach to adopt a design automation strategy towards supporting the configuration of fixtures and to discuss opportunities for moving towards a Product-Service System-paradigm in this domain. This paper reports on a development of a design automation demonstrator to configure fixtures for control-measuring. The demonstrator has been developed in a commercial CAD-environment and will be deployed through a web-based interface. The paper concludes with a discussion on PSS-opportunities and how to drive this with a Knowledge-Based Engineering-modelling approach. 

Place, publisher, year, edition, pages
Elsevier, 2017
Series
Procedia CIRP, ISSN 2212-8271
Keywords
Knowledge Based Engineering; Design Automation; Mass Customization; Product-Service Systems
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
urn:nbn:se:bth-14388 (URN)10.1016/j.procir.2017.03.006 (DOI)000414528200070 ()
Conference
9th CIRP Conference on Industrial Product/Service-Systems (IPSS), Copenhagen
Projects
Model Driven Development and Decision Support
Funder
Knowledge Foundation
Available from: 2017-06-01 Created: 2017-06-01 Last updated: 2017-11-24Bibliographically approved
Broman, G., Robèrt, K. H., Collins, T., Basile, G., Baumgartner, R., Larsson, T. & Huisingh, D. (2017). Science in support of systematic leadership towards sustainability. Journal of Cleaner Production, 140, 1-9
Open this publication in new window or tab >>Science in support of systematic leadership towards sustainability
Show others...
2017 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 140, p. 1-9Article, review/survey (Refereed) Published
Abstract [en]

The un-sustainable course of our societies is the greatest threat humanity has ever confronted. The biophysical systems upon which we are totally dependent have not been challenged by human activities at the global scale before and our impacts upon those planetary systems, as well as upon our social systems, cannot be adequately addressed by ad hoc solutions. Science and leadership will be required to address this threat and transform our current societies into sustainable societies. This Special Volume presents an evolving, yet increasingly cohesive, science-based perspective on leadership towards sustainability. Examples of crucial, overall questions addressed by authors of articles in this Special Volume are: How can science help to clarify sustainability as a foundational platform for success for society's core institutions (e.g. business, governance and education), and how can this platform inform envisioning, planning, monitoring, communication and decision making to accelerate the needed transitions? The conceptual framing of sustainable development in this Special Volume is based upon the logic that it is only if we can define sustainability in a scientifically solid way, as a frame for any vision, that we can analyze current situations in relation to such sustainable visions, and design strategies to close the gap to such visions. In moving from current situations towards possible sustainable futures, specific support in the form of leadership concepts, methods, tools, and requirements are also essential, i.e. given clarity around what needs to be achieved, effective leadership then requires knowing how to achieve it. Both the what and the how questions are addressed in this Special Volume. The research described provides a foundation for moving from ad hoc activities to systemic, systematic and strategic transitions towards sustainability. © 2016 Elsevier Ltd

Place, publisher, year, edition, pages
Elsevier, 2017
Keywords
Leadership, Strategy, Sustainability, Sustainable development, Sustainable innovation, Sustainable societies, Transitions towards sustainability, Decision making, Planning, Societies and institutions, Biophysical systems, Current situation, Design strategies, Human activities, Planetary system, Sustainable society
National Category
Other Social Sciences not elsewhere specified
Identifiers
urn:nbn:se:bth-13483 (URN)10.1016/j.jclepro.2016.09.085 (DOI)000388775100001 ()2-s2.0-84994571365 (Scopus ID)
Available from: 2016-11-24 Created: 2016-11-23 Last updated: 2018-01-15Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-9662-4576