System of systems optimization approach to reconfigurable system design for operations

Harrison Hyung Min Kim, Jessica Hidalgo

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

Abstract

This paper describes a multilevel, multistage approach to system of systems design optimization where a system design is linked with system allocation along the multistage decision making horizon. The approach is composed of two parts: pseudo-hierarchical formulation (i.e., how to model the stages of multiple, separate decision making processes), and multistage coordination (i.e., how efficiently the proposed model would perform). The pseudo-hierarchical formulation integrates multilevel optimization and multistage programming to capture level-by-level and stage-by-stage system design optimization. The multistage coordination is based on the alternating direction method that is incorporated as an efficient means to solve this inherently large-scale optimization problem. An example on collaborative system design and operation between an airline and an aircraft manufacturer validates the methodology where an airline plans to introduce multiple new aircraft to capture dynamically changing demand of the customers. The proposed methodology is validated against the all-in-one approach and the sequential approach.

Original languageEnglish (US)
Title of host publicationIIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World - Conference Proceedings
Pages94-99
Number of pages6
StatePublished - 2007
EventIIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World - Nashville, TN, United States
Duration: May 19 2007May 23 2007

Other

OtherIIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World
Country/TerritoryUnited States
CityNashville, TN
Period5/19/075/23/07

Keywords

  • Design and operations
  • Multilevel optimization
  • Pseudo-hierarchical multistage model
  • System of systems

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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