Forecast method for used number of parts and components based on complex network |
| |
Authors: | Liu Fu-yun Qi Guo-ning and Yang Qing-hai |
| |
Affiliation: | (1) Department of Electronic Machinery and Transportation Engineering, Guilin University of Electronic Technology, Guilin, 541004, China;(2) Institute of Contemporary Manufacturing Engineering, Zhejiang University, Hangzhou, 310027, China |
| |
Abstract: | Applying directed complex network to model the main structure of a product family, according to in-degree bi-logarithmic coordinate
distribution curve and distribution rule of nodes of the network, in-degree evolving rule of nodes of the network is presented
and analytic expression of in-degree probability density of nodes is derived. Through the analysis of the relation between
existing kinds of components and existing product numbers, an expression of the relation between kinds of components and product
numbers is derived. A forecast method for the increment of component numbers and parts based on the increment of products
is presented. As an example, the component numbers of an industrial steam turbine product family is forecasted, forecast result
verified and forecast error analyzed.
__________
Translated from Chinese Journal of Mechanical Engineering, 2006, 42(6) (in Chinese) |
| |
Keywords: | mass customization parts analysis complex network evolving rule |
本文献已被 万方数据 SpringerLink 等数据库收录! |
|