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Benchmarking of Advanced Manufacturing Machines Based on Fuzzy-TOPSIS Method
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Author(s): Anoop Kumar Sahu (J.K.I.E., India), Atul Kumar Sahu (Guru Ghasidas Central Vishwavidyalaya, India)and Nitin Kumar Sahu (Guru Ghasidas Central Vishwavidyalaya, India)
Copyright: 2017
Pages: 42
Source title:
Theoretical and Practical Advancements for Fuzzy System Integration
Source Author(s)/Editor(s): Deng-Feng Li (Fuzhou University, China)
DOI: 10.4018/978-1-5225-1848-8.ch012
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Abstract
The evaluation of the most appropriate Computer Numerical Control (CNC) machine tool is found foremost issue for sustaining the advanced manufacturing production units at competitive global market place. In last years, many evaluation parameter/ criteria/ issues (i.e. Cost [C], Tool Length [TL], Tool Diameter [TD], Metal Removal Rate [MRR], X-Y-Z-Axis Movement of Tool [AMT], etc.) carried out into account besides productivity, precision, accuracy, reliability etc prior to purchasing/electing CNC machine tools amongst preferred alternatives. This chapter exhibited a hypothetical case research pertaining to election of CNC machine tool under the qualitative parameter/criteria/issues excluding quantitative, where, subjective (qualitative) criteria are considered beside objective (quantitative) criteria and complexity to elect the best CNC machine tool is solved via subjective assessments of expert's panel also called the group decision making. In present research, TOPSIS algorithmic technique conjunction with Trapezoidal Fuzzy Number set (TFNs) is explored for appraising and benchmarking the preferable CNC machine tool options/ alternatives. Finally, a hypothetical case research is carried out to check the validity of proposed algorithmic technique for proposed module and exhibit the path for benchmarking alternative machine tools. The preferences orders are carried out in accordance with descending value of the ‘collective index'. Higher value of ‘collective index' reflects higher degree of performance.
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