Model Driven Development and Decision Support | 2013-2022
- Post by: Tobias Larsson
- 31st August 2022
- 96 Comments
Model Driven Development and Decision Support | 2013-
Building an international research profile in the area of Sustainable Product-Service System Innovation at Blekinge Institute of Technology
Project is finalized per 2022-08-31:
Summary
Evaluation of the research profile MD3S showed that the profile is at the forefront of research as three articles are among the top 1% most cited in the world in their category (top 5% there are 6 publications and within the top 10% there are approx. 17% of all the profile’s publications, which is a high proportion compared to other KK profiles). The MD3S+ lead to even stronger focus on scientific publications of high value and international networking. Some 30-40 percent of the articles produced within the profile are written together with industry, which is a higher percentage. In addition to publications and collaborations, there are also ongoing commercialization processes around parts of the research results in collaboration between companies and BTH.
I n the media, the participants in the research profile have been seen in the local press, nationally and in trade press and are highlighted i n various contexts on behalf o f BTH. This exposure takes place via educational catalogues a s well as the web, social media, radio and television. It is particularly interesting that MD3S has been on IVA’s list for projects with high potential both 2020 and 2022 (https://www.bth.se/nyheter/tva-forskare-med-pa-ivas-100-lista/, https://www.bth.se/nyheter/bth-projekt-med-pa-ivas-100-lista/).
The profile and its partners have also been involved i n the development of BTH’s two new MSc programs in marine technology and data science, which started i n 2018 and 2019 respectively. Via KKS AVANS new MSc program in mechanical engineering in line with MD3S research will roll out spring 2023, together with the partner companies. The research profile’s connection to Stanford University is unique in Sweden and means that students on BTH’s mechanical engineering and industrial economics program get the opportunity to carry out global innovation projects together with students from Stanford Mechanical Engineering, something that is attractive for future recruitment. Here a global top 20 position in James Dyson Award is one of the accomplishments of this Stanford/BTH/Volvo collaboration (https://www.jamesdysonaward.org/2020/project/reglove/).
Performance in publications and examinations includes some 300 research papers and 30 lic/PhD exams.
Find full list of research publications from MD3S here.
Find presentations from final seminar 2022-09-14 here.
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About the profile
This Knowledge Foundation (KKS) profile+ center is based on a clear vision and objective regarding model driven development and decision support for sustainable product-service system (PSS) innovation and is building on the further deepening of the ongoing profile work with perspectives of raising international recognition through further presence in top publications, partnering with academics internationally, and also affecting educational programmes at BTH.
The ongoing digitalisation is an already integrated part of the work, while the profile+ is extending the Data Driven Design approach based on Internet of Things (IoT) progress and access to live data from solutions in the field and the usage of machine learning/AI in development and industry 4.0 approaches in production .
The research focus is model-driven sustainable product-service system innovation. The concept of model-driven means that throughout the development process using models (virtual representation of reality) as communication media in order to shorten development cycles and improve multidisciplinary understanding. By also adding capability to collect live data from machines via connected sensors (Internet of Things – IOT) and finding patterns and solutions using big data analytics (including AI and Machine Learning) creating the potential for digital twin approach, the aim is to increase the profiling in this research even further.
Vision
An internationally leading research environment and the first-hand choice of partners who want to lead the way to a sustainable society through competitive product-service systems supporting a circular economy.
Objective
In co-production mode develop, disseminate, and integrate relevant, user-friendly and efficient computer aided support methods and tools for sustainable product-service system innovation into business leaders’, business developers’ and product developers’ working environments that enable industry to thrive in the changing global context, supported by both simulated and real data using internet of things and AI/machine learning.
Driving research question
How can we design a simulation, and data, driven PSS process where societal challenges are used as a driver for innovation, and methods and tools from diverse disciplines (engineering, sustainability, economics etc.) are linked in a decision environment, enabling value creating life-cycle solutions?
Project information
Project leader & Centre Director: Prof Tobias Larsson
Time span: 2013-2019 Profile, 2019-2022 Profile+
Funding: 163 MSEK (110 budget and 36 MSEK KK Foundation profile funds, 53 budget and 18 MSEK KK Foundation profile+ funds)
Partners:
- Aura Light International (2013-2019)
- Avalon Innovation (2013-2019)
- Dynapac Compaction Equipment
- GKN Aerospace Engine Systems
- Holje International Group
- Roxtec International (2019-)
- Tetra Pak Packaging Solutions AB
- Volvo Car Corporation (2019-)
- Volvo Construction Equipment
- Industrigruppen Karlskrona (affiliated network partner)
- Techtank (affiliated network partner)
- Blekinge Institute of Technology
- The Knowledge Foundation
Centre Director

Research areas
The industrial relevance is threefold:
- increased capabilities to mitigate risks, explore opportunities, and take informed decisions early on,
- increased opportunities to bring new sustainability-driven innovations to the market and
- research findings, methods and tools that help industry undertake the changes on several levels that are necessary to stay competitive.
The driving research question is broken down into several sub-questions that are being dealt with in the research tracks of MD3S+ as presented below.
RT1 – Value Driven Design
(mechanical engineering, innovation engineering)
- How can value models iteratively translate customers’ desires into terms that are meaningful for PSS design decision-making?
- How can a PSS process look like that supports a system of systems perspective and different component life-cycles over the course of PSS deployment?
- How to drive innovation in multi-stakeholder environments (both internal/external stakeholders)?
RT2 – Sustainable Product Development
(sustainable development, mechanical engineering)
- How can sustainability criteria and indicators guide the finding of generic LCA data to be used in a model-based decision support for value and sustainability assessment?
- How can a risk perspective be applied to identify, assess, and manage potential consequences of sustainability-related decisions?
- How to define a methodology to identify and assess how strategic sustainability criteria can be integrated in requirements and model how they affect value criteria?
RT3 – Simulation Driven Design
(mechanical engineering, data science, electrical engineering)
- How to assess model maturity levels: confidence in models and model generated results as a basis for decision making?
- How to use/asses IoT data-driven design and machine learning configurators for conceptual design?
- How to perform design automation tasks in a multi-discipline environment for decision making?



Research publications
Decision-making with eXtended reality and artificial intelligence: practitioner-informed design guidelines for decision support systems
Abstract The rapidly changing industrial landscape is causing companies to quickly adapt to new market demands. Major players in the…
Triple-Use Innovation: Embedding Sustainability into Civil-Military Innovation
Abstract This paper introduces and explores triple-use innovation, a novel conceptual framework that extends beyond the established dual-use paradigm by…
Numerical data driven operation support for manufacturing of automotive body components
Abstract With the increased focus on smart manufacturing and Industry 4.0, the use of simulations for the creation of cyber-physical…
Leveraging digital twins for value-driven design in smart product-service systems: the super-system digital twin framework and SEV case study
Abstract Recent academic contributions explore the integration of Digital Twins (DTs) within smart Product-Service System (sPSS). This integration aims to…
AI-Powered Value Co-Creation: A Case Study Approach to Smart PSS Development
Abstract Product-Service System (PSS) development prioritizes the technical aspects of implementing Artificial Intelligence (AI), overlooking the strategic rationale behind its…
An integrated simulation framework for system-of-systems value exploration
Abstract The manufacturing sector is witnessing a paradigm shift toward servitization, where companies are transitioning from selling products to offering…
DESIGNING A RESILIENT AUTOMATED WATERBORNE TRASPORT SYSTEM USING DISCRETE EVENT SIMULATION
Abstract The paper presents a replicable simulation architecture to assess the economic, environmental, and resilience performance of commercial electric and…
Designing value-robust circular systems through changeability: a framework with case studies
Abstract Increasing sustainability expectations requires support for the design of systems that are reactive in minimizing potential negative impact and…
Integrating Digital Twins and Extended Reality for Smart PSS Design: A Case Study on Smart Electric Tour Bus Development
Abstract The increasing digitalization of manufacturing is transforming product development towards intelligent, service-oriented systems. This studyexplores the application of Digital…









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