Two-stage system of systems model by linking system design with resource allocation

I. Jessica Hidalgo, Harrison M. Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Decomposition-based product design optimization under system of systems paradigm is linked with resource (i.e., product) allocation. A two-stage, system of systems approach to linking resource allocation (e.g., vehicle routing problem (VRP)) and system design optimization (e.g., vehicle design problem (VDP)) is presented. The problem inherently contains discrete variables from VRP, thus a practical formulation is presented to overcome convergence difficulty associated with shared discrete variables in a decomposed setting. Two examples, composed of four and eight air routes respectively with the introduction of a new air-craft to the existing fleet, are presented to demonstrate the effectiveness of the proposed approach. A new type of aircraft is designed and allocated to the currently existing VRP to meet the demand, while the direct operating cost of an airline is minimized.

Original languageEnglish (US)
Title of host publicationProceedings of 2006 ASME International Design Engineering Technical Conferences and Computers and Information In Engineering Conference, DETC2006
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Print)079183784X, 9780791837849
DOIs
StatePublished - 2006
Event2006 ASME International Design Engineering Technical Conferences and Computers and Information In Engineering Conference, DETC2006 - Philadelphia, PA, United States
Duration: Sep 10 2006Sep 13 2006

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume2006

Other

Other2006 ASME International Design Engineering Technical Conferences and Computers and Information In Engineering Conference, DETC2006
Country/TerritoryUnited States
CityPhiladelphia, PA
Period9/10/069/13/06

ASJC Scopus subject areas

  • Modeling and Simulation
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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