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Publications (10 of 31) Show all publications
Bertoni, A., Hallstedt, S., Dasari, S. K. & Andersson, P. (2020). Integration of Value and Sustainability Assessment in Design Space Exploration by Machine Learning: An Aerospace Application. Design Science
Open this publication in new window or tab >>Integration of Value and Sustainability Assessment in Design Space Exploration by Machine Learning: An Aerospace Application
2020 (English)In: Design ScienceArticle in journal (Refereed) Epub ahead of print
Abstract [en]

The use of decision-making models in the early stages of the development of complex products and technologies is a well-established practice in industry. Engineers rely on well-established statistical and mathematical models to explore the feasible design space and make early decisions on future design configurations. At the same time, researchers in both value-driven design and sustainable product development areas have stressed the need to expand the design space exploration by encompassing value and sustainability-related considerations. A portfolio of methods and tools for decision support regarding value and sustainability integration has been proposed in literature, but very few have seen an integration in engineering practices. This paper proposes an approach, developed and tested in collaboration with an aerospace subsystem manufacturer, featuring the integration of value-driven design and sustainable product development models in the established practices for design space exploration. The proposed approach uses early simulation results as input for value and sustainability models, automatically computing value and sustainability criteria as an integral part of the design space exploration. Machine learning is applied to deal with the different levels of granularity and maturity of information among early simulations, value models, and sustainability models, as well as for the creation of reliable surrogate models for multidimensional design analysis. The paper describes the logic and rationale of the proposed approach and its application to the case of a turbine rear structure for commercial aircraft engines. Finally, the paper discusses the challenges of the approach implementation and highlights relevant research directions across the value-driven design, sustainable product development, and machine learning research fields.

Place, publisher, year, edition, pages
Cambridge University Press, 2020
Keywords
decision-making, value-driven design, sustainable product development, design space exploration, machine learning, surrogate models
National Category
Mechanical Engineering Computer Sciences
Identifiers
urn:nbn:se:bth-17851 (URN)10.1017/dsj.2019.29 (DOI)
Funder
Knowledge Foundation
Note

open access

Available from: 2019-04-25 Created: 2019-04-25 Last updated: 2020-02-06Bibliographically approved
Bertoni, M. & Bertoni, A. (2020). Measuring Experiential Learning: An Approach Based on Lessons Learned Mapping. Education Sciences, 10(1), Article ID 11.
Open this publication in new window or tab >>Measuring Experiential Learning: An Approach Based on Lessons Learned Mapping
2020 (English)In: Education Sciences, E-ISSN 2227-7102, Vol. 10, no 1, article id 11Article in journal (Refereed) Published
Abstract [en]

Fostering ‘experiential learning’ in real-life situations is a critical task for engineering educators when creating constructively aligned learning activities. The paper proposes an approach to measure the students’ perception of learning in Conceive-Design-Implement-Operate activities conducted outside the classroom. The approach is based on the opportunity of gathering and analyzing lessons learned from the student reflection reports at the end of a team-based innovation project performed in collaboration with company partners. The approach is intended to provide a basis for the future development of innovation projects with engineering students, supporting the definition of learning outcomes that are relevant for the CDIO Syllabus 2.0, and of constructively aligned learning experiences. The paper exemplifies the approach with regards to a master course named Value Innovation and presents the findings obtained at the third and second level of the CDIO Syllabus 2.0. The results of the course implementation show how short team-based innovation projects largely contributed in developing social and communication-related skills in engineering students, going beyond the mere application of their technical skills.

Place, publisher, year, edition, pages
MDPI, 2020
Keywords
experiential learning; CDIO; lessons learned; engineering; innovation project; industrial collaboration; measurement framework
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:bth-19071 (URN)10.3390/educsci10010011 (DOI)000513524100005 ()
Projects
AVANS
Funder
Knowledge Foundation
Note

open access

Available from: 2019-12-30 Created: 2019-12-30 Last updated: 2020-03-06Bibliographically approved
Bertoni, A. (2019). A Reverse Engineering Role-Play to Teach Systems Engineering Methods. Education Sciences, 9(1), Article ID 30.
Open this publication in new window or tab >>A Reverse Engineering Role-Play to Teach Systems Engineering Methods
2019 (English)In: Education Sciences, ISSN 2227-7102, Vol. 9, no 1, article id 30Article in journal (Refereed) Published
Abstract [en]

Students engaged in systems engineering education typically lack experience and understanding of the multidisciplinary complexity of systems engineering projects. Consequently, students struggle to understand the value, rationale, and usefulness of established systems engineering methods, often perceiving them as banal or trivial. The paper presents a learning activity based on a three-stage reverse engineering role-play developed to increase students’ awareness of the importance of correctly using systems engineering methods. The activity was developed and integrated in the Systems Engineering course given at Blekinge Institute of Technology. Its effectiveness was analyzed through semistructured self-reflection reports along with two editions of the course. The results showed the development of students’ understanding of how to use systems engineering methods. In particular, the students realized the need to deliver detailed and easy-to-read models to the decision makers. This result was in line with the achievement of some of the intended learning outcomes of the course.

Place, publisher, year, edition, pages
Basel, Switzerland: MDPI, 2019
Keywords
systems engineering; education; role-play; self-reflection; reverse engineering; active learning; CDIO; learning activity
National Category
Pedagogical Work Other Mechanical Engineering
Identifiers
urn:nbn:se:bth-17559 (URN)10.3390/educsci9010030 (DOI)000464186200001 ()
Note

open access

Available from: 2019-01-31 Created: 2019-01-31 Last updated: 2019-05-02Bibliographically approved
Ruvald, R., Bertoni, A. & Johansson, C. (2019). A role for physical prototyping in Product-Service System design: Case study in construction equipment. In: George Q Huang, Ting Qu, Matthias Thürer, Suxiu Xu, Mohamed Khalgui (Ed.), Proceedia CIRP: . Paper presented at 11th CIRP IPS2 Conference - Smart Product and Service Twin, Zhuhai; China, 29th-31st May 2019 (pp. 358-362). Elsevier, 83
Open this publication in new window or tab >>A role for physical prototyping in Product-Service System design: Case study in construction equipment
2019 (English)In: Proceedia CIRP / [ed] George Q Huang, Ting Qu, Matthias Thürer, Suxiu Xu, Mohamed Khalgui, Elsevier, 2019, Vol. 83, p. 358-362Conference paper, Published paper (Refereed)
Abstract [en]

Using a case study methodology to exploring an ambitious experimental combination of a construction equipment manufacturer’s products tailored to provide exponential increases in efficiency and reductions in CO2. The products and system represent a relevant example of new technology being the foundation upon which a functional offering IPSS can be designed. The researcher constructed a scaled down functional experiential prototype reflecting a full scale experimental all electric quarry site in under operation outside of Goteborg, Sweden. The prototype site represented the primary equipment and system functionality, to act as a boundary object around which relevant stakeholders both internal and external could share the vision of an electric autonomous future. This was confirmed via observation at an event where the scale site was used for this purpose and verified with follow up interviews to dig deeper into the impact this tangible representation could have in increasing the perceived viability of the full scale technology’s potential on display thousands of miles from the event.

Place, publisher, year, edition, pages
Elsevier, 2019
Series
Proceedia CIRP, ISSN 2212-8271
Keywords
Machinery, Product design
National Category
Engineering and Technology
Identifiers
urn:nbn:se:bth-18521 (URN)10.1016/j.procir.2019.03.099 (DOI)
Conference
11th CIRP IPS2 Conference - Smart Product and Service Twin, Zhuhai; China, 29th-31st May 2019
Available from: 2019-08-06 Created: 2019-08-06 Last updated: 2019-11-29Bibliographically approved
Bertoni, A. (2019). Introducing value driven design in engineering education: teaching the use of value models in preliminary design. International journal of technology and design education
Open this publication in new window or tab >>Introducing value driven design in engineering education: teaching the use of value models in preliminary design
2019 (English)In: International journal of technology and design education, ISSN 0957-7572, E-ISSN 1573-1804Article in journal (Refereed) Epub ahead of print
Abstract [en]

Methods and approaches for teaching engineering disciplines are evolving to adapt to the needs of companies and society. Engineering Design is one of the areas most influenced by such changes and constantly striving to develop more effective and efficient strategies to prepare the soon-to-be engineers to face the challenges of a real working environment. This paper presents an approach used to teach the use of value models for concept trade-off in the preliminary design phase, in line with the industrial challenges highlighted by the literature on Value Driven Design. The approach is based on realistic design sessions assigning to master students a value assessment challenge. The paper describes the rationale of the approach, its set-up, and a validation activity run to compare the performances of the students with those of industrial practitioners. The results of the study show that the students taking part in the design sessions can produce results that do not statistically differ from those of industrial practitioners. Moreover, the students’ self-reflection on the achievement of the intended learning outcomes show a high satisfaction toward the achievement of the educational objectives.

Place, publisher, year, edition, pages
Springer, 2019
Keywords
Realistic design session · Value models · Value-driven design · Engineering education · CDIO
National Category
Mechanical Engineering Educational Sciences
Identifiers
urn:nbn:se:bth-17786 (URN)10.1007/s10798-019-09511-x (DOI)
Projects
MD3S Research profile
Funder
Knowledge Foundation, M3S
Note

open access

Available from: 2019-04-08 Created: 2019-04-08 Last updated: 2019-11-18Bibliographically approved
Bertoni, M. & Bertoni, A. (2019). Iterative value models generation in the engineering design process. Design Science, 5, Article ID e18.
Open this publication in new window or tab >>Iterative value models generation in the engineering design process
2019 (English)In: Design Science, Vol. 5, article id e18Article in journal (Refereed) Published
Abstract [en]

Value models are increasingly discussed today as a means to frontload conceptual design activities in engineering design, with the final goal of reducing cost and rework associated with sub-optimal decisions made from a system perspective. However, there is no shared agreement in the research community about what a value model exactly is, how many types of value models are there, their inputoutput relationships and their usage along the engineering design process timeline. Emerging from five case studies conducted in the aerospace and in the construction equipment industry, this paper describes how to tailor the development of value models in the engineering design process. The initial descriptive study findings are summarized in the form of seven lessons learned that shall be taken into account when designing valuemodels for design decision support. From these lessons, the paper proposes a six-step framework that considers the need to update the nature and definition of value models as far as new information becomes available,moving from initial estimations based on expert judgment to detailed quantitative analysis.

Place, publisher, year, edition, pages
Cambridge University Press, 2019
Keywords
value-driven design, model-based engineering, decision-making, valuemodel, cross-company study
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:bth-18748 (URN)10.1017/dsj.2019.13 (DOI)000488967300001 ()
Projects
Model Driven Development and Decision Support
Funder
Knowledge Foundation
Note

open access

Available from: 2019-10-11 Created: 2019-10-11 Last updated: 2019-10-31Bibliographically approved
Bertoni, A. & Bertoni, M. (2019). Modeling ‘ilities’ in early Product-Service Systems design. In: Procedia CiRP: . Paper presented at 11th CIRP Conference on Industrial Product-Service Systems, CIRP IPS2 2019; Zhuhai; China; 29 May 2019 through 31 May 2019 (pp. 230-235). Elsevier, 83
Open this publication in new window or tab >>Modeling ‘ilities’ in early Product-Service Systems design
2019 (English)In: Procedia CiRP, Elsevier, 2019, Vol. 83, p. 230-235Conference paper, Published paper (Refereed)
Abstract [en]

Product-Service Systems, like all complex systems, are vulnerable to unpredictable environmental changes that can seriously undermine their ability to continuously deliver value to customers. The long-term consequences of volatile markets, unanticipated technologies, and unpredictable changes in society must be captured, modeled and communicated to decision makers since the earliest stages of the design, so to identify sustainable PSS solutions able to deliver value for years or decades to come. The paper analyses the problem of PSS changeability from the perspective of established medium-large product manufacturers facing the transition toward result-oriented PSS offers. Building on established literature in the systems engineering field, the paper proposes the definition of the changeability criteria, also named ‘ilities’, that are relevant to consider for PSS engineers in the early stages of design. Furthermore, the paper describes a systematic framework for assessing ilities in early PSS design, elaborating on technological enablers for ilities modeling.

Place, publisher, year, edition, pages
Elsevier, 2019
Series
Procedia Cirp, ISSN 2212- 8271 ; 83
Keywords
Product-Service Systems; ilities; changeability; systems engineering; early design stages
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:bth-17940 (URN)10.1016/j .procir.2017.04.009 (DOI)
Conference
11th CIRP Conference on Industrial Product-Service Systems, CIRP IPS2 2019; Zhuhai; China; 29 May 2019 through 31 May 2019
Projects
Model Driven Development and Decision Support
Funder
Knowledge Foundation
Note

open access

Available from: 2019-05-29 Created: 2019-05-29 Last updated: 2019-09-10Bibliographically approved
Bertoni, A. & Bertoni, M. (2019). SUPPORTING EARLY STAGE SET-BASED CONCURRENT ENGINEERING WITH VALUE DRIVEN DESIGN. In: Proceedings of the Design Society: International Conference on Engineering Design: . Paper presented at The 22nd International Conference on Engineering Design (ICED), 5 – 8 August 2019 Delft, The Netherlands (pp. 2367-2376). Cambridge University Press
Open this publication in new window or tab >>SUPPORTING EARLY STAGE SET-BASED CONCURRENT ENGINEERING WITH VALUE DRIVEN DESIGN
2019 (English)In: Proceedings of the Design Society: International Conference on Engineering Design, Cambridge University Press, 2019, p. 2367-2376Conference paper, Published paper (Refereed)
Abstract [en]

Set-Based Concurrent Engineering is commonly adopted to drive the development of complex products and systems. However, its application requires design information about a future product that is often not mature enough in the early design stages, and that it is not encompassing a service and lifecycle- oriented perspective. There is a need for manufacturers to understand, since the early design stages, how customer value is created along the lifecycle of a product from a hardware and service perspective, and how to use such information to screen radically new technologies, trade-off promising design configurations and commit to a design concept. The paper presents an approach for the multidisciplinary value assessment of design concepts in sub-systems design, encompassing the high-level concept screening and the trade-off of different design concepts, and enabling the integration of value models results into a Set-based Concurrent Engineering process. The approach is described through its application in the case study of the development of a subsystem component for a commercial aircraft engine.

Place, publisher, year, edition, pages
Cambridge University Press, 2019
Keywords
Value Driven Design, Systems Engineering (SE), Decision making, Early design phases, Case study
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:bth-18520 (URN)10.1017/dsi.2019.243 (DOI)
Conference
The 22nd International Conference on Engineering Design (ICED), 5 – 8 August 2019 Delft, The Netherlands
Projects
Model Driven Development and Decision Support research profileVINNOVA NFFP VITUM
Note

open access

Available from: 2019-08-06 Created: 2019-08-06 Last updated: 2020-03-05Bibliographically approved
Liang, Z., Liang, L., Cai, Y. & Bertoni, A. (2019). The influence factors of the stability of tailings dam based on multi-source information fusion method. Journal of Intelligent & Fuzzy Systems, 37(3), 3365-3372
Open this publication in new window or tab >>The influence factors of the stability of tailings dam based on multi-source information fusion method
2019 (English)In: Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, E-ISSN 1875-8967, Vol. 37, no 3, p. 3365-3372Article in journal (Refereed) Published
Abstract [en]

The BP neural network algorithm is used to construct a stable slope angle prediction model for open-pit mines, which can successfully predict the ultimate slope angle of the mine. At the same time, a multi-tool combination of Surpac, Madis, and Flac3D is used to create a numerical model for stable slope angle in mines. The model is used to test the final slope angle prediction structure for stable mines. Through a comprehensive analysis of the ore deposit model technology constructed by the series of realms, the economic parameters involved in the generation of realm boundaries are known, and specific primaries are pointed out with the error requirements of each parameter analyzed in the realm of series. A concrete solution is put forward to the issue of realm gap. From the point of view of the power and responsibility parameters, the series of realm production methods are analyzed, and the rapid generation methods of the realm of open-pit mine series are pointed out.

Place, publisher, year, edition, pages
IOS PRESS, 2019
Keywords
BP neural network, open-pit mine, stable slope angle
National Category
Other Civil Engineering
Identifiers
urn:nbn:se:bth-19153 (URN)10.3233/JIFS-179139 (DOI)000489941200031 ()
Available from: 2020-01-24 Created: 2020-01-24 Last updated: 2020-01-24Bibliographically approved
Bertoni, M., Bertoni, A. & Eres, M. H. (2019). Value Driven Design revisited: emerging modelling concepts and applicatons. In: Proceedings of the Design Society: International Conference on Engineering Design: . Paper presented at The 22nd International Conference in Engineering Design (ICED), 5-8 August 2019 Delft, The Netherlands (pp. 2407-2416).
Open this publication in new window or tab >>Value Driven Design revisited: emerging modelling concepts and applicatons
2019 (English)In: Proceedings of the Design Society: International Conference on Engineering Design, 2019, p. 2407-2416Conference paper, Published paper (Refereed)
Abstract [en]

Extended product warranties, leasing, and pay-per-use schemes are few examples of how manufacturing companies are shifting their focus from selling products to offering “solutions”, combining products and services to maximise customer value. The idea of optimising a system towards the best ‘value’ is both "intuitive and sensible", and processes such as Value Driven Design (VDD), have been proposed to supplement traditional engineering design methodologies. Yet, value-driven initiatives struggle to communicate their benefits and to demonstrate how value models can solve actual problems. The aim of this paper is to shed light on the evolution of the VDD toolbox, mapping research clusters, applications and case studies from the perspective of how much (and how well) recent contributions have answered the five top-level questions of the VDD research agenda published in 2012. The results of the systematic literature review reveal the emergence of innovative modelling constructs, methods, and tools that help VDD in taking a leap forward in supporting organizations and teams in achieving the long-sought objective of designing for 'value'.

Keywords
Value Driven Design, Systems Engineering (SE), Design to X, Conceptual design
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:bth-18519 (URN)10.1017/dsi.2019.247 (DOI)
Conference
The 22nd International Conference in Engineering Design (ICED), 5-8 August 2019 Delft, The Netherlands
Projects
Model Driven Development and Decision Support
Funder
Knowledge Foundation
Note

open access

Available from: 2019-08-06 Created: 2019-08-06 Last updated: 2020-03-06Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-5114-4811

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