Title: GDMP for CNC machine tool selection with a compromise ranking method using generalised fuzzy circumstances
Authors: Anoop Kumar Sahu; Saurav Datta; Siba Sankar Mahapatra
Addresses: Department of Mechanical Engineering, National Institute of Technology, Rourkela 769008, India ' Department of Mechanical Engineering, National Institute of Technology, Rourkela 769008, India ' Department of Mechanical Engineering, National Institute of Technology, Rourkela 769008, India
Abstract: Today's world of globalisation, the problem of judging most appropriate computer numerical control machine tool has been become a critical issue for most companies in fast-growing markets for a long time. The judging of CNC machine tool among the prepared choices is a multi-criteria decision-making (MCDM) problem including both qualitative and quantitative attributes. But under numerous situations, CNC machine tool performance are measured in term of subjective attributes such as productivity, precision and accuracy etc. so, these subjective attributes often imprecisely defined by experts panel judgement 'linguistic assessments'. In the proposed approach, the VIKOR compromise ranking method combined with generalised fuzzy number has explored for determining a compromise ranking (providing a maximum group utility for the majority and a minimum of an individual regret for the opponent solution). Finally, we suggested the ranking of machine tool in decreasing order preferences. Finally, a case study is shown to highlight the proposed procedure.
Keywords: computer numerical control; CNC machine tools; generalized trapezoidal fuzzy sets; GTFS; VIKOR method; multicriteria decision making; group MCDM; group decision making; machine tool selection; machine tool ranking.
International Journal of Computer Aided Engineering and Technology, 2015 Vol.7 No.1, pp.92 - 108
Published online: 04 Dec 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article