A Fuzzy Multi-criteria Decision-making Model for Green Electrical Discharge Machining

2014 ◽  
pp. 33-43 ◽  
Author(s):  
Jagadish ◽  
Amitava Ray
Keyword(s):  
Decision Making ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Multi Criteria Decision Making ◽  
Decision Making Model

Multi-Objective Optimization of EDM Process on AISI P-20 Tool Steel Using Multi-Criteria Decision-Making Technique

2021 ◽  
pp. 33-44
Author(s):  
Souvick Chakraborty
Keyword(s):  
Decision Making ◽  
Surface Roughness ◽  
Tool Life ◽  
Tool Steel ◽  
Electrical Discharge ◽  
Metal Removal ◽  
Electrical Discharge Machining ◽  
Optimization Technique ◽  
Orthogonal Experimental Design ◽  
Multi Criteria Decision Making

The optimization technique is introduced to overcome the problem. Here the author introduces multi-criteria decision-making technique to get the optimization value. Electrical discharge machining (EDM) in nontraditional machining process is applied for machining complicated or intricate geometries on raw materials. The present work attempts to optimize several responses of machining operation using multi-criteria decision making (MCDM) by employing different machining parameters like current, voltage, pulse. The Taguchi L9 orthogonal experimental design is followed during electrical discharge machining of AISI P20 tool steel. Four responses, namely metal removal rate, tool life, surface roughness, and over cut, are considered for optimization. The present work is aimed at multi-response optimization (i.e., higher MRR, higher tool life, lower surface roughness, and minimum overcut), which is conducted using MCDM technique.

Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang
Keyword(s):  
Decision Making ◽  
Commercial Banks ◽  
Decision Model ◽  
Business Models ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

scholarly journals Multi-criteria decision-making model for supporting manufacturing settlements location in Africa after COVID-19

2021 ◽  
Vol 13 ◽  
pp. 184797902110233
Author(s):  
Stefania Bait ◽  
Serena Marino Lauria ◽  
Massimiliano M. Schiraldi
Keyword(s):  
Decision Making ◽  
Value Chain ◽  
Multinational Enterprises ◽  
Value Added ◽  
Plant Performance ◽  
Multi Criteria Decision Making ◽  
African Countries ◽  
Analytic Hierarchy ◽  
Location Selection ◽  
Decision Making Model

The COVID-19 emergency is affecting manufacturing industries all over the world. Notably, it has generated several issues in the products’ supply and the global value chain in African countries. Besides this, Africa’s manufacturing value-added rate grew only 1.5 since 2018, and the foreign direct investment (FDI) from multinational enterprises (MNEs) remains very low due to high-risk factors. Most of these factors are linked to a non-optimized location selection that can adversely affect plant performance. For these reasons, supporting decision-makers in selecting the suitable country location in Africa is crucial, both for contributing to countries’ growth and companies’ performance. This research aims at presenting a comprehensive multi-criteria decision-making model (MCDM) to be used by MNEs to evaluate the best countries to develop new manufacturing settlements, highlighting the criteria that COVID-19 has impacted. Thus, it has affected countries’ performance, impacting the plant location selection choices. A combination of the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods have also been used for comparative analysis. The criteria used in the proposed approach have been validated with a panel of MNEs experts.

scholarly journals Blockchain-Based Trust Management Using Multi-Criteria Decision-Making Model for VANETs

2020 ◽  
Author(s):  
Cong Pu
Keyword(s):  
Decision Making ◽  
Road Safety ◽  
Trust Management ◽  
Detection Rate ◽  
Smart Devices ◽  
Multi Criteria Decision Making ◽  
Trust Value ◽  
Safety Message ◽  
Embedded Sensing ◽  
Decision Making Model

<p>Recent advancements in embedded sensing system, wireless communication technologies, big data, and artificial intelligence have fueled the development of Internet of Vehicles (IoV), where vehicles, road side unit (RSUs), and smart devices seamlessly interact with each other to enable the gathering and sharing of information on vehicles, roads, and their surrounds. As a fundamental component of IoV, vehicular networks (VANETs) are playing a critical role in processing, computing, and sharing travel-related information, which can help vehicles timely be aware of traffic situation and finally improve road safety and travel experience. However, due to the unique characteristics of vehicles, such as high mobility and sparse deployment making neighbor vehicles unacquainted and unknown to each other, VANETs are facing the challenge of evaluating the credibility of road safety messages. In this paper, we propose a blockchain-based trust management system using multi-criteria decision-making model, also referred to as Trust<sup>Block</sup><sub>MCDM</sub>, in VANETs. In the Trust<sup>Block</sup><sub>MCDM</sub>, each vehicle evaluates the credibility of received road safety message and generates the trust value of message originator. Due to the limited storage capacity, each vehicle periodically uploads the trust value to a nearby RSU. After receiving various trust values from vehicles, the RSU calculates the reputation value of message originator of road safety message using multi-criteria decision-making model, packs the reputation value into a block, and competes to add the block into blockchain. We evaluate the proposed Trust<sup>Block</sup><sub>MCDM</sub> approach through simulation experiments using OMNeT++ and compare its performance with prior blockchain-based decentralized trust management approach. The simulation results indicate that the proposed Trust<sup>Block</sup><sub>MCDM</sub> approach can not only improve fictitious message detection rate and malicious vehicle detection rate, but also can increase the number of dropped fictitious messages.<br></p>

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