Sequencing of information in modular model-based systems design

Sebastian Rötzer, Nicky Rostan, Hans Christian Steger, Birgit Vogel-Heuser, Markus Zimmermann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Multi-disciplinary design of complex systems is characterized by many inter-dependencies between components. Therefore, adjusting their properties appropriately to satisfy all system requirements is difficult. Simulation models enable fast quantitative assessment of the system behavior. Unfortunately, monolithic system models are often not available, due to domain-specific knowledge that needs to be incorporated. This paper proposes a framework that enables a modular formulation of separate models that can be integrated easily into a full system model. Key ingredient is a model for dependencies between system and component attributes as polyhierarchies without feedback loops. The complex dependency structure of a system can be modularized and simplified. Modular models are integrated into a system model by sequencing the flow of information of the design task. The resulting system model has no circular dependencies and two distinct interfaces: independent design variables and dependent system performance measures. The approach is applied to two gear design tasks.

Original languageEnglish
Title of host publicationProceedings of the 22nd International Dependency and Structure Modeling Conference, DSM 2020
EditorsHarold Stowe, Tyson R. Browning, Steven D. Eppinger, Jakob Trauer
PublisherThe Design Society
Pages63-72
Number of pages10
ISBN (Electronic)9781912254125
StatePublished - 2020
Event22nd International Dependency and Structure Modeling Conference, DSM 2020 - Virtual, Cambridge, United States
Duration: 13 Oct 202015 Oct 2020

Publication series

NameProceedings of the 22nd International Dependency and Structure Modeling Conference, DSM 2020

Conference

Conference22nd International Dependency and Structure Modeling Conference, DSM 2020
Country/TerritoryUnited States
CityVirtual, Cambridge
Period13/10/2015/10/20

Keywords

  • Automated model generation
  • MBSE
  • Solution Space Engineering

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