Multidisciplinary Design Optimization (MOO) problem are often are encountered in many industrial areas
and aspect. MOO refers to the optimization of systems of subsystem (disciplines). The optimization of
the full system is often reduced to hierarchy of optimizations at subsystem and system levels.
Multidisciplinary Design Optimization is a body of methods and techniques for performing the above
optimization so as to balance the design considerations at the system and detail levels.
This paper will be presents an application of MOO for multi purpose design of truck, case study in
Toyota Dyna. That body of truck can be used for some purpose, example for fluid tanker, mixer truck,
bulk and box truck and other purpose. The successful design requires harmonization of a number of
objectives and con5traint. However, dimensionality of such optimization and the complexity and
expense of the underlying analysis suggest a decomposition approach to enable concurrent execution
of smaller and more manageable task. We identify that the fundamental approach to modeling the
design depend on lumped mass, vehicle fixed coordin2te system, motion variable, earth fixed
coordinate system, euler angles, and force. The master problem for multi purpose design of body truck
is to maximize the contain capacity, with design variable are length, wide and high of the body. The
sub problem are minimize the centrifugal force, roll threshold and suspension.
The result of this paper will be giving the optimum condition of the body dimension and helpful the
design to reduce time for design. Finally, quality of product will be increase, reducing cost and
thereby being competitive
