Abstract
Digitalization is crucial for increasing the productivity of manufacturing systems and processes, where model-based systems engineering is a key engineering discipline to support related design and planning activities. However, knowledge used in these activities is not sufficiently captured through exhaustive simulation-based searches on design spaces. This study proposes a design space model based on General Design Theory to express such knowledge using the properties of topological spaces. A simulation-based production planning case study demonstrates computation of a design space from simulation experiments using inductive and deductive reasoning, and formulation of complex design options for production plans to meet performance criteria.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
