Model-Based Systems Engineering for Digital Manufacturing: A Proof-of-Concept

Abstract

New challenges brought by the increase in complexity and connectivity of new products have accelerated the transition from document-centric to model-centric approaches as a means to address some of the current limitations of PLM. Model-based systems engineering, in particular, by providing a common interface between models, data, knowledge and disciplines, is critical to enable a system-level understanding of the designs performance across domains. To demonstrate these qualities across the As Designed and As Built phases of the product lifecycle, this research focused on the development of a methodology aimed at capturing manufacturing and production system considerations in a model-based environment. In doing so, this research demonstrated how model-based systems engineering allows for the connection and integration of product design, manufacturing and production models and data through an authoritative source of truth (ASoT). In particular, manufacturing/production system model for a minimum viable product (UAV wing) are integrated within an existing digital enterprise to demonstrate the requirements validation and verification process, requirement traceability, and finally the ability to conduct tradeoff analyses between design, manufacturing and production concurrently.

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Document Details

Document Type
Technical Report
Publication Date
Sep 02, 2022
Accession Number
AD1182010

Entities

People

  • Dimitri Marvis

Organizations

  • Georgia Tech Research Corporation

Tags

Communities of Interest

  • Air Platforms
  • Cyber
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Additive Manufacturing
  • Aircraft Equipment
  • Aircrafts
  • Airframes
  • Assembly
  • Basic Programming Language
  • Composite Materials
  • Computer Programming
  • Computer-Aided Design
  • Digital Engineering
  • Engineers
  • Fabrication
  • Manufacturing
  • Model Based Systems Engineering
  • Systems Engineering
  • Test And Evaluation
  • Unmanned Aerial Vehicles
  • Yield Strength

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Software Engineering
  • Software Engineering.