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Data-driven design to improve collaboration at the conceptual design phase
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. (Product Development Reserach Lab (PDRL))ORCID iD: 0000-0003-2324-2857
2020 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Global challenges such as extremely competitive market, low cost, shorter lead time and high quality are transforming the business model of the company to focus beyond the performance requirements of the product. To meet these challenges, companies are highly concerned with the perceived value of the customer, to connects the product with the customer in a better way and become more proactive to fulfil the customer needs. In literature, the conceptual phase is recognized as the most critical phase of the product development process. Many authors have recognized the improvement of design in the conceptual phase as the means to deliver a successful product in the market. A product is generally associated with several design alternatives, technological elements, and many components that interact with each other. At the decision gate, where concepts are selected for further development, the design team needs knowledge about the long-term consequences of their early decision, to see how changes in design alternative propagate to technical performance, and on customer value. One problem in this respect is that the early phase is characterized by a high degree of uncertainty with less design knowledge. For this reason, the designers must deal with a large amount of uncertain and ambiguous data.The main goal of the thesis is to provide guidance on how a product in the conceptual phase of design can be improved through the use of data-driven approach. The latter holds plenty of potential to enhance the design activities needed to support the early phase. A methodology and guidelines to support a data-driven approach for early design emerged as a result of this study. This feature with modeling and simulation tools to enhance the conceptual phase of design by supporting the design decisions. Thesis initially presents the findings from the empirical investigation, showing a model-based approach creates awareness about the value of a new design concept in a multidisciplinary context. Creating a link between the product characteristic to the high-level attributes of customer satisfaction and provider’s long term profitability. The preliminary prescriptive study results further indicate that the application of simulation models to frontload the early design stage and create awareness about how performance can lead to creating a value model. As a result, a multidisciplinary team can perform quick trade-off and what-if analysis on design configurations. The proposed data-driven design allows to resolve the conflicts and initiates a negotiation among the teams to support decisions. The proposed methodology holds a great potential to improve the key performance indicators for product development: time, quality and cost.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2020.: Blekinge Tekniska Högskola, 2020.
Series
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 1
Keywords [en]
Engineering design, data-driven design, conceptual phase, value-driven design, data mining
Keywords [sv]
Ingenjörsdesign, datadriven design, konceptuell fas, värdedriven design, data mining
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-19036ISBN: 978-91-7295-397-0 (print)OAI: oai:DiVA.org:bth-19036DiVA, id: diva2:1380280
Presentation
2020-01-31, 09:00 (English)
Supervisors
Projects
Model Driven Development and Decision Support
Funder
Knowledge FoundationAvailable from: 2019-12-18 Created: 2019-12-18 Last updated: 2019-12-18Bibliographically approved

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Chowdhery, Syed Azad

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