Optimization of Machining Process by Desirability Function Analysis (DFA): A Review

Abstract

Abstract: The most essential goal of the optimization process
is to minimize the cost and maximize the profit. In the case of
industrial decision-making, optimization plays a major role. In
the optimization process, the main target is to maximize 1 or
some process parameters by keeping other parameters within
constraints. Desirability function analysis (DFA), is a technique
for the optimization of multiple response variables extensively
used in the industry. DFA is based on the concept of the
"quality" of the product or process having several quality
characteristics. This method operates on the conditions which
give the "most desirable" response values. In this review paper,
the main concentration is on the optimization of a number of
manufacturing processes which has been optimized by using
DFA method. The previous review work by earlier researchers
on the manufacturing process was not performed on such a
large scale at a time on the DFA method by considering
different processes. In the future, this review work can be
worthwhile for the information at a single place for the
succeeding researchers, in order to conclude their research
work on the DFA technique.
Index Terms: Analysis, Optimization, Desirability function,
DFA, Machining process