An integrated approach for cutting fluid selection using multiple attribute decision making methods

2021 ◽  
Vol 15 (1) ◽  
pp. 7860-7873
Author(s):  
S. Dhanalakshmi ◽  
T. Rameshbabu
Keyword(s):  
Decision Making ◽  
Aluminium Alloy ◽  
Selection Process ◽  
Integrated Approach ◽  
Multiple Attribute Decision Making ◽  
Machining Process ◽  
Cutting Fluid ◽  
Maximum Benefit ◽  
Multiple Attribute ◽  
Cutting Fluid Selection

The choice of most appropriate cutting liquid in any machining process should be performed to attain maximum benefit. Selection of cutting fluid needs more than one dimension. For this purpose, many criteria should be deemed in the selection process.  In this study decision making methods such as AHP, TOPSIS and VIKOR are employed to select the suitable cutting fluid. AHP is used to compute the objective weights for the  criteria.The three alternatives considered are Ahonol- 7, Blaser and YBI. A case study of cutting fluid selection for machining LM 25 Aluminium alloy which finds application in automobile industries is presented to explain the applicability and suitability of the anticipated method. Ranking of alternatives in the above methods suggests Ahonol – 7 as the best cutting fluid for CNC turning LM 25 aluminium alloy.

scholarly journals Sistem Pendukung Keputusan Pemberian Reward Pegawai Menggunakan Metode TOPSIS

2020 ◽  
Vol 18 (1) ◽  
pp. 11
Author(s):  
Aisyah Mutia Dawis
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Selection Process ◽  
Multiple Attribute Decision Making ◽  
Management Problem ◽  
Multiple Attribute ◽  
Ideal Solutions ◽  
Order Preference ◽  
Topsis Technique ◽  
A Company

Every company has management providing wages or rewards to employees. This is because employees are one of the resources that are used as a driving force in advancing a company. Besides, many companies provide rewards to their employees with the aim of motivating employees to help more. There is management problem in PKU Muhammadiyah Gamping Hospital for determining the number of rewards obtained by employees because many variables are determined. Therefore, the need of management information system can facilitate the Management of the PKU Muhammadiyah Gamping Hospital in determining decision making for providing rewards. One method that is often used in implementing decision support systems is Multiple Attribute Decision Making (MADM), focusing TOPSIS (Technique for Order Preference with Similarities to Ideal Solutions). By the implementation of the decision support system, PKU Muhammadiyah Gamping Hospital can carry out the selection process more efficiently.The test results by matching the employee data results at PKU Muhammadiyah Hospital obtained 95.83% accuracy so that this system can help the PKU Muhammadiyah Hospital in determining employee rewards.

scholarly journals Multiple Attribute Decision Making (MADM) in Proportional-Stop-Loss Reinsurance

2017 ◽  
Author(s):  
Jiexuan Wang
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Multiple Attribute Decision Making ◽  
Simulation Software ◽  
Insurance Companies ◽  
Insurance Company ◽  
Multiple Attribute ◽  
Study Results ◽  
Stop Loss

This article addresses reinsurance decision making process, which involves the insurance company and the reinsurance company, and is negotiated through reinsurance intermediaries. The article proposes a decision flow to model the reinsurance design and selection process. In contrast to existing literature on pure proportional reinsurance or stop-loss reinsurance, this article focuses on the combination into Proportional-Stop-loss reinsurance design which better addresses interest of both parties. In terms of methodology, the significant contribution of the study is to incorporate Multiple Attribute Decision Making (MADM) into modelling the reinsurance selection. The Multi-Objective Decision Making (MODM) model is applied in designing reinsurance alternatives. Then MADM is applied to aid insurance companies in choosing the most appropriate reinsurance contract. To illustrate the feasibility of incorporating intelligent decision supporting system in reinsurance market, the study includes a numerical case study using simulation software @Risk in modeling insurance claims, and programming in MATLAB to realize MADM. Managerial implications could be drawn from the case study results. More specifically, when choosing the most appropriate reinsurance, insurance companies should base their decision on multiple measurements instead of single-criteria decision making models for their decisions to be more robust.

scholarly journals Multiple Attribute Decision Making (MADM) in Proportional-Stop-Loss Reinsurance

2017 ◽  
Author(s):  
Jiexuan Wang ◽  
Kim Leng Poh
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Multiple Attribute Decision Making ◽  
Simulation Software ◽  
Insurance Companies ◽  
Insurance Company ◽  
Multiple Attribute ◽  
Study Results ◽  
Stop Loss

This article addresses reinsurance decision making process, which involves the insurance company and the reinsurance company, and is negotiated through reinsurance intermediaries. The article proposes a decision flow to model the reinsurance design and selection process. In contrast to existing literature on pure proportional reinsurance or stop-loss reinsurance, this article focuses on the combination into Proportional-Stop-loss reinsurance design which better addresses interest of both parties. In terms of methodology, the significant contribution of the study is to incorporate Multiple Attribute Decision Making (MADM) into modelling the reinsurance selection. The Multi-Objective Decision Making (MODM) model is applied in designing reinsurance alternatives. Then MADM is applied to aid insurance companies in choosing the most appropriate reinsurance contract. To illustrate the feasibility of incorporating intelligent decision supporting system in reinsurance market, the study includes a numerical case study using simulation software @Risk in modeling insurance claims, and programming in MATLAB to realize MADM. Managerial implications could be drawn from the case study results. More specifically, when choosing the most appropriate reinsurance, insurance companies should base their decision on multiple measurements instead of single-criteria decision making models for their decisions to be more robust.

A NOVEL HYBRID SWARA AND VIKOR METHODOLOGY FOR SUPPLIER SELECTION IN AN AGILE ENVIRONMENT

2013 ◽  
Vol 19 (3) ◽  
pp. 533-548 ◽  
Author(s):  
Maryam Alimardani ◽  
Sarfaraz Hashemkhani Zolfani ◽  
Mohammad Hasan Aghdaie ◽  
Jolanta Tamošaitienė
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supplier Selection ◽  
Selection Process ◽  
Multiple Attribute Decision Making ◽  
Second Phase ◽  
Ratio Analysis ◽  
Business Environments ◽  
Agile Supply Chain ◽  
Multiple Attribute

The concept of the agile supply chain has been taken into account as means of achieving a high competitive edge in rapidly changing business environments. Supply partner selection is one of the most appealing issues for agile supply chain management, which have recently been studied by academicians and practitioners. Due to a large number of factors to be considered, supplier selection process is a difficult task for every company. Therefore, supplier selection process can be viewed as a multiple attribute decision-making (MADM) problem. In this paper, a novel hybrid MADM method is proposed for agile supplier selection based on four criteria including performance, cost, flexibility and technology. Two MADM methods, including step-wise weight assessment ratio analysis (SWARA) and Vlse Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) are applied in decision-making process. More precisely, SWARA is used for determining the importance of each criterion and calculating their weights and VIKOR is applied for evaluating alternatives as well as ranking supplier alternatives from the best to the worst. More precisely, the first phase of the proposed methodology, step-wise weight assessment ratio analysis (SWARA), is useful for determining the importance of each criterion and calculating the weight of each criterion, and the second phase with Vlse Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) is useful for evaluating alternatives as well as ranking supplier alternatives from the best to the worst. Finally, a real case-study is presented to demonstrate the applicability of the proposed methodology. As a result, the model can help managers to evaluate and select the best supplier regarding own company strategies, resources, policies and etc. for their organization.

scholarly journals IMPLEMENTASI METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN RUMAH BERBASIS ANDROID

2020 ◽  
Vol 14 (2) ◽  
pp. 102
Author(s):  
Admi Syarif ◽  
Qory Aprilarita ◽  
Muhammad Rizki ◽  
Favorisen R Lumbanraja
Keyword(s):  
Decision Making ◽  
User Satisfaction ◽  
Selection Process ◽  
House Prices ◽  
Performance Testing ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Building Area ◽  
Simple Additive Weighting ◽  
Market Distance

The process of selecting house is a difficult thing to do, because there are many alternatives offered by developers. The purpose of this research is to build an Android-based decision support system that can help selection process involving ten criteria. The criteria used in this research are house prices, building area, land area, electricity, water sources, distance from market, distance from university, number of bedrooms, number of bathrooms, and number of floors. The system built applies Simple Additive Weighting (SAW) method. SAW is one of the well-known methods and is often used for multiple attribute decision making because of its simplicity in providing alternatives during the decision making process. Based on system performance testing, the results of accuracy is 85,7%, which at this time has been categorized as very good. Based on the results of alpha testing and beta testing, it can be concluded that application has worked and meets the level of user satisfaction, with value that is categorized as very good

Research on Multiple Attribute Decision Making under Hesitant Fuzzy Linguistic Environment with Application to Production Strategy Decision Making

2013 ◽  
Vol 753-755 ◽  
pp. 2829-2836 ◽  
Author(s):  
Jun Ling Zhang ◽  
Xiao Wen Qi
Keyword(s):  
Decision Making ◽  
Integrated Approach ◽  
Multiple Attribute Decision Making ◽  
Weighted Averaging ◽  
Linguistic Variables ◽  
Fuzzy Variables ◽  
Multiple Attribute ◽  
Production Strategy ◽  
Fuzzy Linguistic

This paper investigates methods for multiple attribute decision making (MADM) under hesitant fuzzy linguistic environment. Firstly, we define two transform functions between hesitant fuzzy linguistic variables and hesitant fuzzy variables. Then, based on the presented transform functions, a hesitant fuzzy linguistic weighted averaging (HFLWA) operator and a hesitant fuzzy linguistic weighted geometric (HFLWG) operator are developed, and some desired properties of the operators are also analyzed. Successively, an integrated approach for MADM with attribute assessments taking form of hesitant fuzzy linguistic variables is constructed. Furthermore, an illustrative study on production strategy decision making is carried out to verify the effectiveness and practicality of proposed methods.

PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING DALAM PENETAPAN TENAGA KEPENDIDIKAN BERPRESTASI

2018 ◽  
Vol 1 (2) ◽  
pp. 45-54
Author(s):  
Helpi Nopriandi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Simple Additive Weighting

Tenaga Kependidikan merupakan anggota masyarakat yang mengabdikan diri dan diangkat untuk menunjang penyelenggaraan pendidikan. Decision Support Systems atau lebih dikenal dengan Sistem Pendukung Keputusan adalah bagian dari sebuah sistem informasi yang berbasis komputer termasuk sistem yang berbasis ilmu pengetahuan dan dipakai untuk mendukung pengambil  keputusan dalam suatu organisasi atau perusahaan. untuk memudahkan pimpinan dalam mengambil sebuah keputusan dibuatlah suatu sistem pengambil keputusan dengan menggunakan Fuzzy Multiple Attribute Decision Making  (FMADM) digunakan untuk mencari alternatif optimalkan dari sejumlah alternatif dengan kriteria tertentu, sedangkan metode Simple Additive Weighting (SAW). Metode SAW sering juga dikenal istilah metode penjumlahan terbobot. Konsep dasar metode SAW adalah mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif dari semua atribut.

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