Open AccessApplication of ELECTRE- I,II methods for EDM performance measures in manufacturing decision making
Author(s) -
Ratnesh Tiwari,
Sharad Agrawal,
Dinesh Kumar Kasdekar
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/748/1/012015
Subject(s) - electre , weighting , machining , computer science , mathematical optimization , operations research , mathematics , multiple criteria decision analysis , mechanical engineering , engineering , medicine , radiology
Due to the demand of customer point of view requires good performance component with low cost. So, we have to expand the machining characteristics of Al7075 alloy containing 2wt% SiC on EDM. During machining following indicator has to be used for measures EDM performance. These output indicators for EDM are Surface roughness i.e., Ra and Rz, and also Energy consumption (PC). For experimenting, we choose the CCD approach in RSM. In this work, we have to apply a novel approach, multi-attributes decision making to predict the optimum result for the following criteria. In MADM approach using Electre I and II as an application to optimize EDM performance. Electre I and II have decided,based on Entropy weighting percentage. To predict sophisticated optimal attribute that contains the values of criteria (as an EDM performance indicator). Electre I and II offer Rank of alternatives that helps the designer to choose the best decision. At last, the graph shows the comparison of the computational results between Electre I and Electre II.