Abstract
An attractive feature of many simulation packages is their availability on desktop computers and their potential for allowing the user to run a simulation model under different conditions in a highly interactive way. Such a way of studying a system is attractive because of its immediacy and the direct control it offers the user. Design of Experiments is a statistical technique for quickly optimizing performance of systems. It starts with a screening experimental design test plan involving all of the known factors that are suspected to affect the systemâs performance (or output). When the number of input variables or test factors is large, the primary experimental objective is to pare this number down into a manageable few. This is usually followed by another designed experiment design or test plan with the objective of optimizing the systemâs performance. For an easy and interactive use of the design of experiments technique, a new tool called DOET (which stands for âDesign Of Experiments Toolâ) has been developed. This paper aims to illustrate the design of experiments technique using the DOET.In this paper we consider the implementation of the methodology of the design of simulation experiments in the form of interactive tool attached to the simulation model called DOET (which stands for âDesign Of Experiments Toolâ). The DOET receives the output from the simulation model and automatically processes this output using the DOE technique. The DOET thus can be used interactively either to give advice to the user conducting the simulation study, or else to directly control the conduct of the runs.
Highlights
Engineering Design, in its modern form, is undergoing a transformation from "a process leading to producing a product" to "a product in itself that should be optimally designed"
Assume that yy is the response of an experiment and {xx1, xx2, xx3, ... , xxkk } are kk factors acting on this experiment where each factor has two levels of variation xxii− and xxii+
For an efficient use of the DOE methodology, it has been implemented in the form of interactive tool the DOET attached to the simulation model
Summary
Engineering Design, in its modern form, is undergoing a transformation from "a process leading to producing a product" to "a product in itself that should be optimally designed". Information obtained from a DOE analysis is much more reliable and comprehensive than results from the one-factor-at-a-time experiments that ignore interactions between factors and, may lead to wrong conclusions[1]. If the number of factors increases to 7, for example, the number of tests to be performed rises to 47 = 16384 experiments, which is definitely a time and cost consuming process. Knowing that it is impossible to reduce the number of values for each factor to less than 2, the designer often reduces the number of factors, which leads to incertitude of results To reduce both cost and time, the DOE is used to establish a design experiment with less number of tests.
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