scholarly journals Analysis using multi-criteria decision making to evaluate smart phone alternatives within the global supply

2021 ◽  
Vol 129 ◽  
pp. 02014
Author(s):  
Alena Pozdílková ◽  
Martina Hedvičáková ◽  
Nikola Jačková
Keyword(s):  
Decision Making ◽  
Information And Communication Technologies ◽  
Mobile Phones ◽  
Value Added ◽  
High Price ◽  
Multi Criteria Decision Making ◽  
Weighted Sum ◽  
Topsis Method ◽  
Weighted Sum Method ◽  
Lexicographic Method

Research background: In terms of the development of information and communication technologies, smart mobile phones are booming. Consumers choose the most suitable smartphone concerning their needs and preferences. Consumers are not limited by the domestic supply but can choose from smartphones from all over the world. The article aims to provide effective multi-criteria decision-making to evaluate different mobile phones according to consumer preferences of global supply. Purpose of the article: The benefit of the article is the elimination of uncertainty in the choice of mobile phone and the expression of preferences of the consumer with decision-making powers. Methods: Multicriteria decision-making is based on the evaluation of the possibilities of mobile phones with regard to the preferences of users. Ordinalistic (Lexicographic method and ORESTE method) and Cardinalistic method (TOPSIS method and Weighted sum method) are used for this evaluation. Findings & Value added: Based on the methods used, the variants of smartphones were ranked from best to worst. The order differed significantly for the selected methods. The lexicographic method recommended buying the cheapest variant. The ORESTE method recommended buying one of the most expensive variants. Of the methods requiring cardinal information, the TOPSIS method in the model example recommended the purchase of the Realme 7i variant and the weighted sum method recommended the purchase of the Samsung Galaxy A52 variant despite its high price. All results are calculated using a decision support system. The application contains a DLL library that provides the decision-making process and the structure of the decision-making problem and the user environment.

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.

An Improved TOPSIS Method for Material Selection Model

2014 ◽  
Vol 951 ◽  
pp. 120-123
Author(s):  
Wei Fan Huang
Keyword(s):  
Decision Making ◽  
Influencing Factors ◽  
Material Science ◽  
Material Selection ◽  
Selection Process ◽  
Selection Problem ◽  
Entropy Measure ◽  
Multi Criteria Decision Making ◽  
Topsis Method ◽  
Science Field

Material selection problem becomes an important issue in the material science field. It is important for design for mechanical, electrical, thermal, chemical et al. There are several influencing factors in the material selection process, and thus material selection problem is a multi-criteria decision making (MCDM) problem. Relative entropy measure can depict the closeness of the two systems, and then this paper will use it to develop an improved TOPSIS method for the material selection problem. Finally, a practical example is given to demonstrate that the proposed method is effective and feasible.

scholarly journals Comparison of the Economic Performance of Turkish Republics in Central Asia with TOPSIS Method

2015 ◽  
Author(s):  
Ziya Gökalp Göktolga ◽  
Engin Karakış ◽  
Hakan Türkay
Keyword(s):  
Decision Making ◽  
Central Asia ◽  
Economic Performance ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Economic Management ◽  
Macroeconomic Indicators ◽  
Order Preference ◽  
Negative Ideal Solution

The aim of this study is to compare the economic performance of Turkish Republics in Central Asia with Multi Criteria Decision Making (MCDM) methods. Turkish Republics have been experiencing a transition from a centrally planned economy towards a market economy since their independence. In this study important macroeconomic indicators are used to determine economic performance. Economic performance evaluation of the country is an important issue for economic management, investors, creditors and stock investors. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method outranks the countries according to the proximity of the positive ideal solution and distance of the negative ideal solution. Economic Performance of Turkish Republics in Central Asia (Azerbaijan, Turkmenistan, Kazakhstan, Kyrgyzstan, and Uzbekistan) are compared with TOPSIS method. İnvestigated with TOPSIS method countries best and worst economic performance years are detected during mentioned period and results are analyzed.

scholarly journals Perbandingan Metode TOPSIS Dan SAW Dalam Penentuan Guru Berprestasi

2019 ◽  
Vol 5 (1) ◽  
pp. 29-34
Author(s):  
TITIN PRIHATIN
Keyword(s):  
Middle School ◽  
Point Of View ◽  
Weighted Sum ◽  
Ideal Solution ◽  
Topsis Method ◽  
Weighted Sum Method ◽  
Geometric Point ◽  
Negative Ideal Solution ◽  
Simple Additive Weighting

- Determination of outstanding teachers at Pondok Duta Islamic Middle School has been applied every year. This process is very important to improve the quality of human resources in the progress of Pondok Duta Islamic Middle School. In its implementation, the determination of teachers with pretensions is still considered subjective, because it is only based on personal opinions and is not based on certain criteria. The Simple Additive Weighting (SAW) method is often known as the weighted sum method. The basic concept of the method of Simple Additive Weighting (SAW) is to find a weighted sum of performance ratings on each alternative on all attributes. While the Technique for Order Performance of Similarity to Ideal Solution (TOPSIS) method uses the principle that the chosen alternative must have the longest (farthest) distance from the negative ideal solution from a geometric point of view using the relative proximity of an alternative. The two methods, namely the Technique for Order Performance of Similarity to Ideal Solution (TOPSIS) method and the Simple Additive Weighting (SAW) method can help in the process of determining the teacher to be prescribed who recommend results based on the main criteria that have been determined.

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