Statistical Design of Experiment (SDE): A part of virtual manufacturing
Date
2006Author
Muhammad Iqbal, Muhammad Hussain, Dr.
Zuraidah, Mohd Zain, Prof. Dr.
Mohd Shuid, Salleh
Metadata
Show full item recordAbstract
Of late, much has been discussed on virtual manufacturing. Essentially, virtual
manufacturing comprises of the development of prototypes using computer simulation.
In this paper, it is proposed that Statistical Design of Experiments (SDE) is, in actual
fact, a technique that gives rise to effects that are similar to that of virtual manufacturing.
Instead of running many combinations of parameters in real life, SDE enables only a
few combinations to be run before optimum process set-up can be determined. As a
result, the time taken to determine optimum process set-up is greatly reduced. This also
allows experimenters to get much more and much better data per experimental run.
Furthermore, SDE hails as remedy for the competitive challenges that modern
manufacturing is encountering through rising quality standards, shortened product life
cycle, and greater demand for product variety. Possession of new flexible technologies
such as virtual manufacturing would result in a strategic response to competitive
pressure. The success of the virtual manufacturing is tied to the ability to response
rapidly to time–based market opportunities. However, SDE provides a feasible and
useful tool for the companies to speed up their product development and optimization of
manufacturing process with a small number of cost effective set of experiments. Set of
experiments holds great potentials to identify factors and levels that have the most and
least impact on manufacturing system. It is often carried out by virtual manufacturing
system.