A Genetic Algorithm for Developing Modular Product Architectures
TR No.: 2003024 | Download PDF | Download PS
Abstract:
The architecture of a product is determined by both the elements that compose the product and the way in which they interact with each other. In this paper, we use the design structure matrix (DSM) as a tool to capture this architecture.
Designing modular products can result in many benefits to both consumers and
manufacturers. The development of modular products
requires the identification of highly interactive groups of elements and
arranging (i.e. clustering) them into modules. However, no rigorous DSM clustering technique can be found in product development literature.
This paper presets a review of the basic DSM building blocks used in the identification of product modules. The DSM representation and building blocks
are used to develop a new DSM clustering tool based on a genetic algorithm (GA)
and the minimum description length (MDL) principle. The new tool is capable of
partitioning the product architecture into an “optimal” set of modules or
sub-systems. We demonstrate this new clustering method using an example of
a complex product architecture for an industrial gas turbine.
Posted: May 4th, 2003 under Genetic algorithms.
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