Design of experiments (DOE) and statistical
process control (SPC) have been separately used in many
traditional and non-traditional machining processes, but
recently these two approaches are being combined and
reevaluated for more effective use and accurate conclusions.
DOE and SPC are very efficient tools to maintain the process
on target and within boundaries of natural variations and to
achieve the maximum accuracy and effectiveness of an
experimental program. This paper proposes an integrated
framework of SPC and DOE to execute the experimental
procedures and to investigate a reliable mathematical model
for optimizing the wire electrochemical turning process
(WECT). WECT is a non-traditional machining process
which has tremendous applications in modern industries
especially in the aerospace and military industries. Response
surface methodology is used to determine the sufficient
number of experiments and also the recommended values of
the input parameters. Univariate and multivariate control
charts are used to assess the statistical control of the output
parameters. Multi-objective optimization is conducted for
determining the optimum values of the input parameters.