2021
DOI: 10.3384/lic.diva-176088
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Optimization-Based Configurators in the Product Development Process

Abstract: Thanks to everyone involved in the research projects, supervision and to the rest of the division. A special shout out to my office roomies, as well as the rest of my fellow PhD students at the division. Thanks also to my friends and family, including my four-pawed favorite Sally, who in addition has done a great job as a stand-in co-worker during the last year of home office pandemic edition.

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Cited by 5 publications
(4 citation statements)
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“…The contributions outlined can provide means to support an optimization-based configuration system (as described by e.g., Wehlin, 2021). In the user input phase, traditional configuration systems allow the user to configure a product by guiding the user while they combine alternatives.…”
Section: Discussionmentioning
confidence: 99%
“…The contributions outlined can provide means to support an optimization-based configuration system (as described by e.g., Wehlin, 2021). In the user input phase, traditional configuration systems allow the user to configure a product by guiding the user while they combine alternatives.…”
Section: Discussionmentioning
confidence: 99%
“…By integrating disciplines with Computer-Aided technologies (CAx), design optimization becomes more comprehensive, yielding valuable insights. Therefore, the stage of DA using CAD software can be viewed as a facilitator for establishing a thorough design optimization setup [21].…”
Section: Design Optimizationmentioning
confidence: 99%
“…Since the inception of multidisciplinary design optimization (MDO), several techniques (architectures) have been developed and deployed to solve MDO difficulties. After establishing a well-functioning product model using design automation and KBE, optimization algorithms can be used to investigate what input values should be utilized to get the best design attributes (Wehlin, 2021). Design automation enables the use of advanced optimization by the creation and recreation of parametric CAD models according to the design variables in the optimization run.…”
Section: Design Optimizationmentioning
confidence: 99%