Journal ArticleDOI
Applications of TOPSIS Algorithm on various Manufacturing Processes: A Review☆
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TLDR
Different manufacturing processes are optimized by Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm as discussed by the authors, and the main focus of this review paper is on the optimization of the various manufacturing processes that have been optimized by TOPSIS method.About:
This article is published in Materials Today: Proceedings.The article was published on 2017-01-01. It has received 73 citations till now. The article focuses on the topics: TOPSIS & Machining.read more
Citations
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Journal ArticleDOI
Application of TOPSIS to Taguchi method for multi-characteristic optimization of electrical discharge machining with titanium powder mixed into dielectric fluid
TL;DR: In this paper, the authors used the Taguchi-TOPSIS method to optimize material removal rate (MRR), surface roughness (SR), and the micro-hardness of a machined surface (HV) in electrical discharge machining of die steels in dielectric fluid with mixed powder.
Journal ArticleDOI
A case of food supply chain management with AHP, DEMATEL, and TOPSIS
Miguel Ortíz-Barrios,Carlos Miranda-De la Hoz,Pedro López-Meza,Antonella Petrillo,Fabio De Felice +4 more
TL;DR: A hybrid approach integrating the analytic hierarchy process (AHP), decision‐making trial and evaluation laboratory (DEMATEL), and the technique for order of preference by similarity to ideal solution (TOPSIS) for evaluating the performance of pork suppliers is proposed to alleviate the economic and operational burden caused by the bullwhip effect throughout the pork supply chain.
Journal ArticleDOI
Multi Criteria Decision Making (MCDM) Methods and its applications
TL;DR: This paper gives the information about all the MCDM methods with the applications of maximum MCDm methods to various fields as per the literature to understand the nature of M CDM for various problems.
Journal ArticleDOI
Multi criteria decision making through TOPSIS and COPRAS on drilling parameters of magnesium AZ91
M. Varatharajulu,M. Varatharajulu,Muthukannan Duraiselvam,M. Bhuvanesh Kumar,M. Bhuvanesh Kumar,G. Jayaprakash,N. Baskar +6 more
TL;DR: In this paper, the authors used the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and COPRAS (COmplex PRoportional ASsessment) methods.
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Optimizing process parameters in edm using low frequency vibration for material removal rate and surface roughness
TL;DR: In this paper, the effect of low frequency vibration attached to workpiece SKD61 to efficiency in EDM was investigated and the optimized parameter was obtained using TOPSIS based multi objectives problem.
References
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Book
Multiple Attribute Decision Making: Methods and Applications
TL;DR: In this paper, the authors present a classification of MADM methods by data type and propose a ranking method based on the degree of similarity of the MADM method to the original MADM algorithm.
Journal ArticleDOI
TOPSIS for MODM
TL;DR: In this article, the authors extend TOPSIS to solve a multiple objective decision making problem, and obtain a single-objective programming problem by using the max-min operator for the second-order compromise operation.
Journal ArticleDOI
Multi-attribute optimization of machining process parameters in powder mixed electro-discharge machining using TOPSIS and grey relational analysis
S. Tripathy,D.K. Tripathy +1 more
TL;DR: In this paper, the effect of process variables such as powder concentration (Cp), peak current (Ip), pulse on time (Ton), duty cycle (DC) and gap voltage (Vg) on response parameters such as Material Removal Rate (MRR), Tool Wear Rate (TWR), Electrode Wear Ratio (EWR) and Surface Roughness (SR) have been investigated using chromium powder mixed to the dielectric fluid.
Journal ArticleDOI
Multi-attribute decision making for green electrical discharge machining
TL;DR: The model developed in this study can be used as a systematic framework for parameter optimization in environmentally conscious manufacturing processes.
Journal ArticleDOI
Multiresponse Optimization of Abrasive Water Jet Cutting Process Parameters Using TOPSIS Approach
N. Yuvaraj,M. Pradeep Kumar +1 more
TL;DR: In this article, a multi-criteria decision-making method (MCDM) was applied to an AWJ cutting process with multiresponse characteristics using the Technique for Order Preference by Similarity Ideal Solution (TOPSIS) approach.