  Response Surface Methodology (RSM) introduced in the paper (Box & Wilson,
1951) explores the relationships between explanatory and response variables in
complex settings and provides a framework to identify correct settings for the
explanatory variables to yield the desired response. RSM involves setting up
sequential experimental designs followed by application of elementary
optimization methods to identify direction of improvement in response. In this
paper, an application of RSM using a two-factor two-level Central Composite
Design (CCD) is explained for a diesel engine nozzle manufacturing sub-process.
The analysis shows that one of the factors has a significant influence in
improving desired values of the response. The implementation of RSM is done
using the DoE plug-in available in R software.
