| 1. |
- Aeddula, Omsri, 1993-, et al.
(författare)
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Artificial Neural Networks Supporting Cause-and-Effect Studies in Product–Service System Development
- 2021
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Ingår i: Design for Tomorrow—Volume 2. - Singapore : Springer. - 9789811601187 ; , s. 53-64
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Konferensbidrag (refereegranskat)abstract
- A data analysis method based on artificial neural networks aiming to support cause-and-effect analysis in design exploration studies is presented. The method clusters and aggregates the effects of multiple design variables based on the structural hierarchy of the evaluated system. The proposed method is exemplified in a case study showing that the predictive capability of the created, clustered, a dataset is comparable to the original, unmodified, one. The proposed method is evaluated using coefficient-of-determination, root mean square error, average relative error, and mean square error. Data analysis approach with artificial neural networks is believed to significantly improve the comprehensibility of the evaluated cause-and-effect relationships studying PSS concepts in a cross-functional team and thereby assisting the difficult and resource-demanding negotiations process at the conceptual stage of the design.
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| 2. |
- Aeddula, Omsri, 1993-
(författare)
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Navigating Data Challenges: AI-Driven Decision Support for Product-Service System Development
- 2024
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Solution providers are transitioning from product-centric models to service-oriented solutions. This shift has led to the rise of Product-Service Systems (PSS), which offer a holistic approach by integrating physical products with associated services. However, the inherent complexity and collaborative nature of PSS development present a significant challenge: information gathering, analysis, and knowledge building. This is further amplified in the early stages of PSS development due to data challenges such as uncertainty, ambiguity, and complexity. This complicates informed decision-making, potentially leading to the risk of sub-optimal outcomes and impacting the success of final offerings.This research proposes an AI-powered data analysis approach to address these data challenges and augment the decision-making process of PSS development. The focus is on supporting early-stage decision-making, as decisions made at this stage greatly impact the success of final solutions. The research investigates how data can be utilized and visualized to extract actionable insights, ultimately facilitating informed decision-making.The presented research demonstrates that AI-powered data analysis effectively supports informed decision-making in early-stage PSS development. By extracting actionable insights from complex data, handling data limitations, and enabling informed strategic decisions, knowledge sharing, and collaboration are facilitated among stakeholders. Furthermore, integrating AI with visualization tools fosters knowledge building and a deeper understanding of system behavior, ultimately leading to more successful PSS solutions. The efficacy of AI-powered data analysis for handling diverse data types across application domains is demonstrated, potentially leading to benefits such as a deeper understanding of system behavior and proactive solution strategies. These advancements contribute to developing decision support systems specifically for PSS development.Overall, this research demonstrates the efficacy of AI-powered data analysis in overcoming data challenges and empowering decision-makers in early-stage PSS development. This translates to more informed choices, leading to the creation of successful and efficient PSS solutions.
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| 3. |
- Andersson, Petter, et al.
(författare)
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A case study of how knowledge based engineering tools support experience re-use
- 2011
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Ingår i: Research into Design. - Bangalore, India : Research Publishing Services. - 9789810877217
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Konferensbidrag (refereegranskat)abstract
- A manufacturing company’s unique intellectual capital is to a large extent built on experience from its own product development and manufacturing processes. Thus, methods and tools to utilize and benefit from this experience in an efficient way have an impact on a company’s ability to stay competitive and advance on the global market. Knowledge Based Engineering (KBE) is an engineering methodology to capture engineering knowledge systematically into the design system. Hence, KBE tools are considered to support experience re-use and improve engineering activities. This paper presents the results from a study where the objective was to investigate the support for experience re-use in KBE applications in an aerospace company. A proposed framework is presented to analyze the capturing and use of experience in a company’s processes identifying gaps and propose improvements. The study revealed weaknesses in the process steps for experience feedback which can be used to improve KBE applications further.
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| 4. |
- Andersson, Petter, et al.
(författare)
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Project: Robust Machining
- 2010
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Annan publikation (populärvet., debatt m.m.)abstract
- New generations of environmentally friendly and safe vehicles require manufacturing of light weight materials with higher strength and, as a consequence, tougher machining conditions and increased machining robustness. There is a lack of practical and reliable methods and tools to meet these challenges in the automotive industry. The very complex system of machine tool, fixture, cutting tools and the machined part is almost impossible to model without complementary measurements of the real system at the factory floor in full production. Using Virtual Engineering together with studies of machining processes the project team will assess these challenges.
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| 5. |
- Bergström, Mattias, et al.
(författare)
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Needs as a basis for design rationale
- 2008
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Ingår i: Design 2008. - Zagreb : University of Zagreb. - 9789536313891 ; , s. 281-288
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Konferensbidrag (refereegranskat)abstract
- This study is based on data from a Swedish real-life industrial product development project for e-health care of elderly. The purpose in the paper is to discuss identification of user needs. Information about the elderly is transferred in recurrent meetings. Besides the perception that these meetings occupy time which could be spent giving care, the nurses find it problematic to convey such information to substitutes, as well as they have to rely on their memory. In this case, a Dictaphone device was a solution. Reports on practical activities of identifying user needs and how they affect decisions in product development are limited; one contribution of this paper is insights into such a case
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| 6. |
- Bertoni, Alessandro, et al.
(författare)
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Assessing the Value of Sub-System Technologies including Life Cycle Alternatives - an aerospace investigation
- 2011
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Ingår i: Glocalized Solutions for Sustainability in Manufacturing. - : Springer. - 9783642196911 ; , s. 669-674
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Konferensbidrag (refereegranskat)abstract
- Emerging from an industrial case study in the aerospace industry, the paper proposes an approach to evaluate sub- system technology concepts from a life cycle perspective. The approach is composed by 5 main phases that aims to drive product designers towards more value-oriented design decisions. It is shown how different life cycle alternatives, such as the selling of a Product-Service-System instead of a traditional product, deeply impact the value of design alternatives. The described approach has been developed in collaboration with industrial partners and represents a potential instrument to enhance value-driven product design.
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| 7. |
- Bertoni, Marco, et al.
(författare)
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A methodology for KEE systems target cascading
- 2008
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Ingår i: Tools and methods of competitive engineering. - Delft : Delft university of technology. - 9789051550443 - 9051550448 - 9789051550450
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Konferensbidrag (refereegranskat)
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| 8. |
- Bertoni, Marco, et al.
(författare)
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Methods and Tools for Knowledge Sharing in Product Development
- 2011
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Ingår i: Innovation in Product Design. - New York : Springer. - 9780857297747 - 9780857297754 ; , s. 37-53
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Bokkapitel (refereegranskat)abstract
- The emerging industrial business partnerships, which feature cross-functional and cross-company development efforts, raise the barrier for the establishment of effective knowledge sharing practices in the larger organization. This chapter aims to highlight the role of knowledge as a key enabler for effective engineering activities in the light of such emerging enterprise collaboration models. Knowledge Enabled Engineering (KEE) is presented as an approach to enhance the extended organization’s capability to establish effective collaboration among its parts, in spite of different organizational structures, technologies or processes. KEE is analysed in its constituent parts, highlighting areas, methods and tools that are particularly interesting for leveraging companies’ knowledge sharing capabilities.
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| 9. |
- Bertoni, Marco, et al.
(författare)
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Needs and requirements : how TRIZ may be applied in product-service development
- 2009
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Ingår i: Proceedings of the 2nd Nordic Conference on Product Lifecycle Management - NordPLM'09. - Göteborg : Chalmers tekniska högskola. Institutionen för produkt- och produktionsutveckling. - 9789197507974
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Konferensbidrag (refereegranskat)abstract
- In Product-Service Systems development, understanding of the customers' use of goods seems vital, since the product per se is not sold but rather the performance it brings to the customers' processes in terms of added value. This changed business scenario insists on an integration of a service and a product perspectives in early design phases. However, the approaches to understand customers diverge. In this paper, a need matrix, from the economic theory of needs, and a requirement matrix, from the TRIZ methodology, are used to elaborate on integration aspects to understand customer statements. The comparison of these matrixes made the distinct logics apparent, and gave an indication for the necessity of another type of specification for PSS products. Also, the knowledge base for PSS methodologies has to be extended to encompass a part that visualizes non measurable aspects such as needs.
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| 10. |
- Bertoni, Marco, et al.
(författare)
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Pilot specifications definition guidelines for the implementation of a KEE solution in the aeronautical domain
- 2008
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Ingår i: CIRP Design Conference 2008. - Enschede : Laboratory of Design, Production and Management, Faculty of Engineering Technology, Univ. of Twente. - 9789036526340
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Konferensbidrag (refereegranskat)abstract
- The design and implementation of a new Knowledge Enabled Engineering (KEE) in the context of a Virtual Enterprise is a labour intensive and risky task. In order to check, before embarking on a full-scale implementation, if the system will satisfy initial expectations, physical prototypes (Pilots) have to be tested in a near real usage environment to obtain qualitative and quantitative information for the final tuning activity. This paper proposes a methodology to guide this Pilot specifications definition process. The main aim of the roadmap proposed is to support the KMS design team in configuring a Pilot solution able to provide valid feedbacks of final system behaviour both from a software and non-software point of view.On one side the methodology guides the definition of Pilot implementation specifications from a technical perspective. It helps engineers and knowledge experts in selecting, refining, merging and cascading down the initial heterogeneous Pilot high level objectives to a lower level, and in elaborating a functional description of the KMS prototype. It proposes, moreover, a structured framework to classify KMS' performance indicators to help the Pilot task force in properly carry out the validation task.The methodology, on the other side, pushes the design team in considering those behavioural and methodological issues that arise from the necessary change in work practice as a result of implementing the KMS within a Virtual design environment. In parallel with the definition of technical specifications, the roadmap supports knowledge experts in developing and testing a set of Knowledge Management guidelines, intended as a list of Best Practices and Lesson Learned aiming to help users in utilizing the potentialities of the new solution.The methodology has been developed within the European project VIVACE to support the design and implementation of a new KEE system in the aeronautical domain.
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