scholarly journals A Hesitant Fuzzy TOPSIS model to supplier performance evaluation

DYNA ◽  
2021 ◽  
Vol 88 (216) ◽  
pp. 126-135
Author(s):  
Francisco Rodrigues Lima Junior ◽  
Michael Hsiao
Keyword(s):  
Performance Evaluation ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Topsis Method ◽  
Linguistic Terms ◽  
Management Actions ◽  
Automotive Company ◽  
Supplier Performance ◽  
Proposed Model ◽  
Decision Making Problem

Supplier performance evaluation is a decision-making problem that involves quantitative and qualitative metrics. Although several models that allow the use of linguistic terms such as "low" and "high" to evaluate suppliers, none of them enables the application of linguistic expressions, which is especially useful when decision makers hesitates to express their evaluations. This study proposes a model based on the Hesitant Fuzzy TOPSIS method to support the supplier performance evaluation. A pilot application was carried out in an automotive company considering 8 suppliers and 10 criteria. When compared to previous similar approaches, the proposed model presented the following advantages: it enables the use of linguistic expressions to assess the supplier performance in each criterion; it groups suppliers with similar levels of performance to develop appropriate management actions; and does not limit the number of criteria and suppliers evaluated.

scholarly journals USING A MULTI-CRITERIA DECISION-MAKING MODEL TO EVALUATE AND SELECT AN E-COMMERCE PLATFORM

2022 ◽  
Vol 4 (1) ◽  
pp. 26-35
Author(s):  
Vu Duc Thanh ◽  
Luu Huu Van ◽  
Nguyen Thi Anh Tuyet ◽  
Hoang Minh Tuan
Keyword(s):  
Decision Making ◽  
Business Models ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Online Platforms ◽  
Proposed Model ◽  
Decision Making Problem ◽  
Online Business ◽  
Decision Making Model

The COVID-19 pandemic has led to disruptions in consumers' lifestyles and purchases, as well as businesses' online business models. Online platforms are increasingly used for shopping purposes. To evaluate and choose an e-commerce platform requires using many criteria and decision makers. Therefore, the process of evaluating and selecting an e-commerce platform is viewed as a multi-criteria decision-making problem. The objective of this study is to develop a multi-criteria decision-making model to help consumers evaluating the e-commerce platforms. In the proposed model, the ratings of alternatives and the weights of the criteria are evaluated using the linguistic variable. Simulation examples are used to show the effectiveness of the model in practice.  Keywords: Fuzzy TOPSIS, E-Commerce Platform, Mcdm, Fuzzy Sets.

A new supplier performance evaluation model

Kybernetes ◽  
2010 ◽  
Vol 39 (1) ◽  
pp. 37-54 ◽  
Author(s):  
He‐Yau Kang ◽  
Amy H.I. Lee
Keyword(s):  
Performance Evaluation ◽  
Integrated Circuit ◽  
Evaluation Model ◽  
Pairwise Comparison ◽  
Evaluation Process ◽  
Supplier Evaluation ◽  
Content Type ◽  
Supplier Performance ◽  
Performance Evaluation Model ◽  
Proposed Model

PurposeMost industries have become increasingly competitive nowadays, and a good supply chain relationship is essential for a company to survive and to acquire reasonable profit. Therefore, supplier selection is very important. The purpose of this paper is to propose a novel model for evaluating the performance of suppliers.Design/methodology/approachA supplier performance evaluation model based on analytic hierarchy process (AHP) and data envelopment analysis (DEA) is constructed. DEA is applied first to evaluate quantitative factors, and the results are transformed into pairwise comparison values for AHP analysis. Qualitative factors are also evaluated through AHP analysis, and a final ranking of suppliers can be obtained by combining the quantitative and qualitative results.FindingsThe proposed model can be applied to evaluate and select the most appropriate integrated circuit packaging company for outsourcing. With the incorporation of experts' opinions and the consideration of qualitative and quantitative factors, the model can provide a both subjective and objective supplier performance ranking.Practical implicationsThe proposed model can be tailored and applied to supplier evaluation and selection in other industries.Originality/valueAlthough many models are available for supplier evaluation, this paper considers both the subjective and objective performance characteristics simultaneously in the evaluation process.

scholarly journals A fuzzy TOPSIS model to evaluate the Business Intelligence competencies of Port Community Systems

2014 ◽  
Vol 21 (2) ◽  
pp. 86-96 ◽  
Author(s):  
Mehdi Ghazanfari ◽  
Saeed Rouhani ◽  
Mostafa Jafari
Keyword(s):  
Decision Support ◽  
Business Intelligence ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Business Systems ◽  
Evaluation Scores ◽  
Proposed Model ◽  
Topsis Technique ◽  
Fuzzy Weights ◽  
Community Systems

Abstract Evaluation of the Business Intelligence (BI) competencies of port community systems before they are bought and deployed is a vital importance for establishment of a decision-support environment for managers. This study proposes a new model which provides a simple approach to the assessment of the BI competencies of port community systems in organization. This approach helps decision-makers to select an enterprise system with appropriate intelligence requirements to support the managers’ decision-making tasks. Thirtyfour criteria for BI specifications are determined from a thorough review of the literature. The proposed model uses the fuzzy TOPSIS technique, which employs fuzzy weights of the criteria and fuzzy judgments of port community systems to compute the evaluation scores and rankings. The application of the model is realized in the evaluation, ranking and selecting of the needed port community systems in a port and maritime organization, in order to validate the proposed model with a real application. With utilizing the proposed model organizations can assess, select, and purchase port community systems which will provide a better decision-support environment for their business systems.

scholarly journals Municipal Waste Disposal Strategy by Fuzzy TOPSIS Method

2019 ◽  
Vol 8 (6) ◽  
pp. 3497-3499
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Public Awareness ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Municipal Waste ◽  
Topsis Method ◽  
Municipal Waste Management ◽  
The City

Municipal solid waste is a major challenge for the metropolitan city. Improper handling of municipal solid waste will create the city unsuitable for living.in this paper, we are discussing about the Indore Municipal Corporation strategy to make the city, one of the cleanest city in India. For this purpose, the 5 selected methods are assigned ranks using Fuzzy TOPSIS method by taking opinion from decision makers and averaged for further analysis. On the basis of reviews 6 main problems created in the city due to municipal waste management ( Dust, Fouling, Emission level, Spreading of Diseases, Open defecation ad Improper segregation) are taken into considerations and 20 decision maker’s opinion is taken on measures taken by Indore municipal corporation for reducing problems created in the city due to municipal waste management are Abolishing cattle, Making more number of urinals, D2D garbage collection, General public awareness, Mechanized road sweeping n jet washing and Using twin bins for source segregation. In this paper the Evaluation shows that open defecations ranking one among all the problems which is greatly reduced by various measures taken by the Indore municipal corporation followed by spreading of disease and improper segregation

Multi Attribute Performance Evaluation Using a Hierarchical Fuzzy TOPSIS Method

2007 ◽  
pp. 537-572 ◽  
Author(s):  
Nüfer Yasin Ateş ◽  
Sezi Çevik ◽  
Cengiz Kahraman ◽  
Murat Gülbay ◽  
S. Ayça Erdoğan
Keyword(s):  
Performance Evaluation ◽  
Fuzzy Topsis ◽  
Topsis Method

scholarly journals MULTI-CRITERIA DECISION APPROACH WITH AHP AND IF-TOPSIS METHODS FOR R&D PROJECT SELECTION PROCESS

2019 ◽  
Vol 25 (3) ◽  
pp. 22-32
Author(s):  
EZGİ GÜLER ◽  
SELEN AVCI ◽  
ZERRİN ALADAĞ
Keyword(s):  
Selection Process ◽  
Fuzzy Topsis ◽  
Project Selection ◽  
Decision Makers ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Intuitionistic Fuzzy Topsis ◽  
Hierarchy Process

In this study, we examined the project selection process in a mould manufacturing company. We ranked 12 criteria via Analytic Hierarchy Process (AHP) and evaluated the most important 8 criteria. Then we applied Intuitionistic Fuzzy TOPSIS (IF-TOPSIS) method, which is the extended version of the TOPSIS method in intuitionistic fuzzy environment. After expressing the decision makers' evaluations in linguistic terms, we turned them into intuitive fuzzy numbers. In the last step, we obtained the project rankings by calculating the closeness coefficient for 5 projects.

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