Title: Designing a cost-time-quality-efficient grinding process using MODM methods,
Abstract: In this paper a multi-objective mathematical model has been used to optimize
grinding parameters include workpiece speed, depth of cut and wheel speed which
highly affect the final surface quality. The mathematical model of the
optimization problem consists of three conflict objective functions subject to
wheel wear and production rate constraints. Exact methods can solve the NLP
model in few seconds, therefore using Meta-heuristic algorithms which provide
near optimal solutions in not suitable. Considering this, five Multi-Objective
Decision Making methods have been used to solve the multi-objective
mathematical model using GAMS software to achieve the optimal parameters of the
grinding process. The Multi-Objective Decision Making methods provide different
effective solutions where the decision maker can choose each solution in
different situations. Different criteria have been considered to evaluate the
performance of the five Multi-Objective Decision Making methods. Also,
Technique for Order of Preference by Similarity to Ideal Solution method has
been used to obtain the priority of each method and determine which
Multi-Objective Decision Making method performs better considering all criteria
simultaneously. The results indicated that Weighted Sum Method and Goal
programming method are the best Multi-Objective Decision Making methods. The
Weighted Sum Method and Goal programming provided solutions which are
competitive to each other. In addition, these methods obtained solutions which
have minimum grinding time, cost and surface roughness among other
Multi-Objective Decision Making methods.