International Journal of Science , Engineering and Management (IJSEM)

Monthly Journal for Science , Engineering and Management

Volume2,June 2017,

Topic : Optimization of Green Electro-Chemical Machining Using Multi Criteria Decision Making Tools VIKOR

Authors:Sevak Ram Dansena || Harsh Kumar Pandey, Vikas Swarnakar, Narendra Kumar Patel

Abstract:In the present scenario an proficient Multi-Criteria Decision Making (MCDM) approach has been predictable for optimization of green electro-chemical machining, because it is a commonly used non-traditional machining process. Electrochemical machining (ECM) has predictable itself as one of the major alternatives to conventional methods for machining hard materials and versatile contours deficient the residual stresses and tool wear. ECM has spacious-ranging purpose in automotive, petroleum, aerospace, textile industries, medical fields, electronic industries etc. The optimization of Green electrochemical machining is a Multi-Criteria Decision Making (MCDM) problem narrow-minded by several performance criteria and alternatives. These criteria’s and alternatives are commonly two types, qualitative and quantitative. These problems are analyzed and identified using many MCDM tools and techniques So to find the best alternative solution of MCDM problems there should be transformed quantitative criteria values into an equivalent single performance index called Multi-attribute Performance Index (MAPI). In this text, present study highlights application of VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) that means: Multicriteria Optimization and Compromise Solution. This Method personalized from MCDM techniques for obtaining the precise result. Detailed methodology of VIKOR method has been described in this paper through a case study..

Keywords: Multi Criteria Decision Making (MCDM), Green Electro Chemical Machining, Multi-attribute Performance Index (MAPI), VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR

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DOI: 01.1617/vol4/iss6/pid07126


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Editor-in-Chief

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Dr.Muhammad Ishtiaq,
Mirpur University of
Science & Technology,
Mirpur, Azad Kasmir.

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IMPACT FACTOR: 2.7

ISSN(Online): 2456-1304

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 25%
ARTICLES PUBLISHED:00007
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Journal Code : IJSEM
Electronic ISSN : 2456-1304
Impact Factor : 2.7
Frequency : Monthly
Contact : editor@ijsem.org

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