TY - GEN
T1 - Handling multiple objectives in decentralized design
AU - Chanron, Vincent
AU - Lewis, Kemper
AU - Murase, Yayoi
AU - Izui, Kazuhiro
AU - Mishiwaki, Shinji
AU - Yoshimura, Masataka
PY - 2005
Y1 - 2005
N2 - Most complex systems, including engineering systems such as cars, airplanes, .and satellites, are the results of the interactions of many distinct entities working on different parts of the design. Decentralized systems constitute a special class of design under distributed environments. They are characterized as large and complex systems divided into several smaller entities that have autonomy in local optimization and decision-making. A primary issue in decentralized design processes is to ensure that the designers that are involved in the process converge to a single design solution that is optimal and meets the design requirements, while being acceptable to all the participants. This is made difficult by the strong interdependencies between the designers, which are usually characteristic of such systems. This paper proposes a critical review of standard techniques to modeling and solving decentralized design problems, and shows mathematically the challenges created by having multiobjective subsystems. A method based on set-based design is then proposed to alleviate some of these challenging issues. An illustration of its applicability is given in the form of the design of a space satellite.
AB - Most complex systems, including engineering systems such as cars, airplanes, .and satellites, are the results of the interactions of many distinct entities working on different parts of the design. Decentralized systems constitute a special class of design under distributed environments. They are characterized as large and complex systems divided into several smaller entities that have autonomy in local optimization and decision-making. A primary issue in decentralized design processes is to ensure that the designers that are involved in the process converge to a single design solution that is optimal and meets the design requirements, while being acceptable to all the participants. This is made difficult by the strong interdependencies between the designers, which are usually characteristic of such systems. This paper proposes a critical review of standard techniques to modeling and solving decentralized design problems, and shows mathematically the challenges created by having multiobjective subsystems. A method based on set-based design is then proposed to alleviate some of these challenging issues. An illustration of its applicability is given in the form of the design of a space satellite.
KW - Decentralized design
KW - Game theory
KW - Multiobjective subproblems
KW - Nash equilibrium
KW - Process convergence
KW - Set-based design
UR - https://www.scopus.com/pages/publications/33144464448
U2 - 10.1115/detc2005-84807
DO - 10.1115/detc2005-84807
M3 - Conference contribution
SN - 079184739X
SN - 9780791847398
T3 - Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference - DETC2005
SP - 59
EP - 69
BT - Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conferences - DETC2005
PB - American Society of Mechanical Engineers
T2 - DETC2005: ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Y2 - 24 September 2005 through 28 September 2005
ER -