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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 Conference on Industrial Product-Service Systems (pp. 358-362). , 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, 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.

Series
Proceedia CIRP, ISSN 2212-8271
National Category
Engineering and Technology
Identifiers
urn:nbn:se:bth-18521 (URN)10.1016/j.procir.2019.03.099 (DOI)
Conference
11th CIRP Conference on Industrial Product-Service Systems
Available from: 2019-08-06 Created: 2019-08-06 Last updated: 2019-08-06
Bertoni, A., Hallstedt, S., Dasari, S. K. & Andersson, P. (2019). 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
2019 (English)In: Design ScienceArticle in journal (Refereed) Submitted
National Category
Mechanical Engineering Computer Sciences
Identifiers
urn:nbn:se:bth-17851 (URN)
Available from: 2019-04-25 Created: 2019-04-25 Last updated: 2019-05-21Bibliographically 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.
Open this publication in new window or tab >>Modeling ‘ilities’ in early Product-Service Systems design
2019 (English)In: Procedia CiRP, 2019Conference 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.

Series
Procedia Cirp, ISSN 2212- 8271
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
Projects
Model Driven Development and Decision Support
Funder
Knowledge Foundation
Note

open access

Available from: 2019-05-29 Created: 2019-05-29 Last updated: 2019-06-18Bibliographically 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
Available from: 2019-08-06 Created: 2019-08-06 Last updated: 2019-08-06
Xin, Y., Claude, B., Rob, V., Bertoni, A. & Phillipe, E. (2018). Data Visualization in Conceptual Design: Developing a Prototype to Support Decision Making. In: : . Paper presented at 12th International Conference on Modeling, Optimization and SIMulation - MOSIM’18, Toulouse.
Open this publication in new window or tab >>Data Visualization in Conceptual Design: Developing a Prototype to Support Decision Making
Show others...
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In recent years, data visualization has received a lot of attention and widely applicate in many areas. Data is a treasure, a lot of valuable information hidden inside. While visualizing the hidden information concisely and intuitively is a critical task. In this paper, we explore how data visualization could support conceptual design. A specific conceptual design case for improving the fuel efficiency of wheel loader is implemented. By visualizing the complex fuel consumption data comprehensive for engineers to get insights, thus to support the decision making for a new product development. As a result, a table of classifying visual techniques by different features, and a prototype consisted of four approaches step by step to present complex data are proposed.

Keywords
complex data visualization, conceptual design, prototype, decision making
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:bth-16950 (URN)
Conference
12th International Conference on Modeling, Optimization and SIMulation - MOSIM’18, Toulouse
Funder
Knowledge Foundation
Available from: 2018-09-03 Created: 2018-09-03 Last updated: 2018-09-07Bibliographically approved
Bertoni, M., Bertoni, A. & Ola, I. (2018). EVOKE: A Value-Driven Concept Selection Method for Early System Design. Journal of Systems Science and Systems Engineering, 27(1), 46-77
Open this publication in new window or tab >>EVOKE: A Value-Driven Concept Selection Method for Early System Design
2018 (English)In: Journal of Systems Science and Systems Engineering, ISSN 1004-3756, E-ISSN 1861-9576, Vol. 27, no 1, p. 46-77Article in journal (Refereed) Published
Abstract [en]

The development of new technologically advanced products requires the contribution from a range of skills and disciplines, which are often difficult to find within a single company or organization. Requirements establishment practices in Systems Engineering (SE), while ensuring coordination of activities and tasks across the supply network, fall short when it comes to facilitate knowledge sharing and negotiation during early system design. Empirical observations show that when system-level requirements are not available or not mature enough, engineers dealing with the development of long lead-time sub-systems tend to target local optima, rather than opening up the design space. This phenomenon causes design teams to generate solutions that do not embody the best possible configuration for the overall system. The aim of this paper is to show how methodologies for value-driven design may address this issue, facilitating early stage design iterations and the resolution of early stage design trade-offs. The paper describes how such methodologies may help gathering and dispatching relevant knowledge about the ‘design intent’ of a system to the cross-functional engineering teams, so to facilitate a more concurrent process for requirement elicitation in SE. The paper also describes EVOKE (Early Value Oriented design exploration with KnowledgE maturity), a concept selection method that allows benchmarking design options at sub-system level on the base of value-related information communicated by the system integrators. The use of EVOKE is exemplified in an industrial case study related to the design of an aero-engine component. EVOKE’s ability to raise awareness on the value contribution of early stage design concepts in the SE process has been further verified with industrial practitioners in ad-hoc design episodes.

Place, publisher, year, edition, pages
Springer, 2018
Keywords
Requirements elicitation, concept selection, systems engineering, value-driven design, decision-making, knowledge maturity
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:bth-13665 (URN)10.1007/s11518-016-5324-2 (DOI)000425140300003 ()
Projects
European Commission’s Seventh Framework Programme (FP7/2007-2013) CRESCENDO projectModel Driven Development and Decision Support research profileVINNOVA - Virtual Turbine Module Demonstrator (VITUM) project
Funder
VINNOVAEU, FP7, Seventh Framework Programme, 234344Knowledge Foundation
Note

First Online 21 December 2016

Available from: 2016-12-22 Created: 2016-12-22 Last updated: 2019-01-16Bibliographically approved
Bertoni, M., Wall, J. & Bertoni, A. (2018). Model Driven Decision Arena: an aerospace study. In: D. Marjanović, M. Štorga, S. Škec, N. Bojčetić, N. Pavković (eds.) (Ed.), Proceedings of the International Design Conference: . Paper presented at 15th International Design Conference, DESIGN 2018; Dubrovnik (pp. 171-182). The Design Society, 1
Open this publication in new window or tab >>Model Driven Decision Arena: an aerospace study
2018 (English)In: Proceedings of the International Design Conference / [ed] D. Marjanović, M. Štorga, S. Škec, N. Bojčetić, N. Pavković (eds.), The Design Society, 2018, Vol. 1, p. 171-182Conference paper, Published paper (Refereed)
Abstract [en]

The concept of Decision Theatre (DT) is of great interest to leverage knowledge sharing in early stage design decision events. Yet, few contributions show how to configure a DT to support design space exploration and concept selection in cross-functional teams. This paper describes the development of a model-driven decision arena (MDDA) for aero-engine sub-system design. After presenting the descriptive study findings, it illustrates the overall logic of the MDDA environment and exemplifies its use in a case study related to the design of a turbine real structure (TRS) for commercial use.

Place, publisher, year, edition, pages
The Design Society, 2018
Keywords
decision theatre, visualisation, case study, value driven design, collaborative design
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:bth-16215 (URN)10.21278/idc.2018.0326 (DOI)9789537738594 (ISBN)
Conference
15th International Design Conference, DESIGN 2018; Dubrovnik
Projects
MODEL DRIVEN DEVELOPMENT AND DECISION SUPPORT (MD3S)
Funder
Knowledge Foundation
Available from: 2018-05-23 Created: 2018-05-23 Last updated: 2018-11-01Bibliographically approved
Bertoni, A., Dasari, S. K., Hallstedt, S. & Petter, A. (2018). Model-based decision support for value and sustainability assessment: Applying machine learning in aerospace product development. In: Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N (Ed.), DS92: Proceedings of the DESIGN 2018 15th International Design Conference: . Paper presented at 15th International Design Conference, Dubrovnik (pp. 2585-2596). The Design Society, 6
Open this publication in new window or tab >>Model-based decision support for value and sustainability assessment: Applying machine learning in aerospace product development
2018 (English)In: DS92: Proceedings of the DESIGN 2018 15th International Design Conference / [ed] Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N, The Design Society, 2018, Vol. 6, p. 2585-2596Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a prescriptive approach toward the integration of value and sustainability models in an automated decision support environment enabled by machine learning (ML). The approach allows the concurrent multidimensional analysis of design cases complementing mechanical simulation results with value and sustainability assessment. ML allows to deal with both qualitative and quantitative data and to create surrogate models for quicker design space exploration. The approach has been developed and preliminary implemented in collaboration with a major aerospace sub-system manufacturer.

Place, publisher, year, edition, pages
The Design Society, 2018
Keywords
decision making, value driven design, big data analysis, sustainable design, design space exploration
National Category
Engineering and Technology Mechanical Engineering
Identifiers
urn:nbn:se:bth-16232 (URN)10.21278/idc.2018.0437 (DOI)9789537738594 (ISBN)
Conference
15th International Design Conference, Dubrovnik
Projects
Model Driven Development and Decision Support
Funder
Knowledge Foundation
Available from: 2018-05-29 Created: 2018-05-29 Last updated: 2018-10-31Bibliographically approved
Svensson, M., Bertoni, A. & Maximilian, L. (2018). ON KNOWLEDGE MATURITY AND BIASED NATURE OF STAGED DECISION MAKING IN A HIGH CONSEQUENCE INDUSTRY. In: Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N. (Ed.), Proceedings of International Design Conference, DESIGN: . Paper presented at 15th International Design Conference, Dubrovnik (pp. 465-476). The Design Society, 1
Open this publication in new window or tab >>ON KNOWLEDGE MATURITY AND BIASED NATURE OF STAGED DECISION MAKING IN A HIGH CONSEQUENCE INDUSTRY
2018 (English)In: Proceedings of International Design Conference, DESIGN / [ed] Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N., The Design Society, 2018, Vol. 1, p. 465-476Conference paper, Published paper (Refereed)
Abstract [en]

This paper explores and problematizes decision-making in a high-consequence industry which is characterized by the stage-gate process. We showcase that decision-makers do not differentiate between the types of knowledge used for modelling decisions and calculation of risks. This makes them susceptible to incorporating cognitive distortions—biases—into the stage-gate process. We conclude by amending the risk for certain kinds of biases with a knowledge maturity framework in order to outline conditions for pragmatic decision making.

Place, publisher, year, edition, pages
The Design Society, 2018
Keywords
decision making, uncertainty, knowledge maturity, risk management, decision biases
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:bth-16233 (URN)10.21278/idc.2018.0480 (DOI)9789537738594 (ISBN)
Conference
15th International Design Conference, Dubrovnik
Projects
Model Driven Development and Decision Support
Funder
Knowledge Foundation
Available from: 2018-05-29 Created: 2018-05-29 Last updated: 2018-11-01Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-5114-4811

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