simProc: simProc: Simulated Process

In r6qualitytools: R6-Based Statistical Methods for Quality Science

simProc: Simulated Process

Description

This is a function to simulate a black box process for teaching the use of designed experiments. The optimal factor settings can be found using a sequential assembly strategy i.e. apply a 2^k factorial design first, calculate the path of the steepest ascent, again apply a 2^k factorial design and augment a star portion to find the optimal factor settings. Of course, other strategies are possible.

Usage

simProc(x1, x2, x3, noise = TRUE)

Arguments

x1	numeric vector containing the values for factor 1.
x2	numeric vector containing the values for factor 2.
x3	numeric vector containing the values for factor 3.
noise	logical value deciding whether noise should be added or not. Default setting is TRUE.

Value

simProc returns a numeric value within the range [0,1].

Examples

simProc(120, 140, 1)
simProc(120, 220, 1)
simProc(160, 140, 1)

r6qualitytools documentation built on Oct. 4, 2024, 1:09 a.m.