Abstract
Turning is one amongst the most adequate and cost-effective method in manufacturing environment. To meet the difficulties of extensive competitiveness in manufacturing industry the issues of selecting best preferable methodologies, design of process, machine and equipment becomes more mind boggling as there are lots of options in view of conflicting criteria. To help these selection processes, different Multi Criterion Decision-Making (MCDM) techniques are currently accessible. In this paper, MCDM technique was performed considering hybrid approach comprehensive grey complex proportional assessment (COPRAS-G) to identify optimal parameters for important multi-performance criteria like Surface roughness, power consumption and frequency of tool vibration. The important process parameters used during turning of ASTM A36 mild steel were depth of cut, spindle speed and feed using full factorial Taguchi’s design of experiment. Finally, optimal settings of input process parameters were found as speed: 160 r.p.m., depth of cut: 0.1 mm. and feed rate: 0.08 mm/rev. This study aimed to focus the applicability of COPRAS-G as a strategic decision making tool to handle multi objective optimization problem for tuning operation.
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