scholarly journals For Supplier Evaluation Process through Fuzzy PROMETHEE Method

2017 ◽  
Vol 5 (3) ◽  
pp. 183-186
Author(s):  
Rahmi Baki ◽  
Keyword(s):  
Evaluation Process ◽  
Supplier Evaluation ◽  
Promethee Method ◽  
Fuzzy Promethee

Multicriteria Decision Support Model for Selection of Tinplate Suppliers

2020 ◽  
pp. 111-138
Author(s):  
Rafaela Ribeiro Pinho ◽  
Ana Paula Lopes
Keyword(s):  
Decision Support ◽  
Evaluation Process ◽  
Supplier Evaluation ◽  
Decision Support Model ◽  
Ahp Method ◽  
Multicriteria Decision ◽  
Promethee Method ◽  
Multicriteria Decision Support ◽  
Over Time ◽  
Selection Of

The evaluation and selection of suppliers has been an issue of great strategic importance over time. In this way, a structured evaluation is crucial, considering several criteria. This work reviews several multicriteria decision support methodologies explored in the literature to solve the supplier evaluation process based on CAN company specifications, strategies, and requirements. Considering the characteristics of each supplier and a set of criteria with different weights, the AHP method and the PROMETHEE method are applied to establish a ranking according to the performance in the selected criteria. In addition, to help the company make the best decision, an analysis of ranking stability is performed by varying the weights assigned to the criteria. The study and models developed were easy to apply and understand, meeting the specified objectives.

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.

Evaluation of different natural wastewater treatment alternatives by fuzzy PROMETHEE method

2020 ◽  
Vol 177 ◽  
pp. 400-407
Author(s):  
Tagesse Gichamo ◽  
Hüseyin Gökçekuş ◽  
Dilber Uzun Ozsahin ◽  
Gebre Gelete ◽  
Berna Uzun
Keyword(s):  
Wastewater Treatment ◽  
Promethee Method ◽  
Treatment Alternatives ◽  
Fuzzy Promethee

scholarly journals Multi-Criteria Group Decision-Making for Selection of Green Suppliers under Bipolar Fuzzy PROMETHEE Process

Symmetry ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 77 ◽  
Author(s):  
Muhammad Akram ◽  
Shumaiza ◽  
Ahmad N. Al-Kenani
Keyword(s):  
Fuzzy Numbers ◽  
Preference Ranking ◽  
Preference Functions ◽  
Promethee Method ◽  
Usual Criterion ◽  
Green Suppliers ◽  
Bipolar Fuzzy Sets ◽  
Fuzzy Linguistic ◽  
Fuzzy Promethee ◽  
Selection Of

The preference ranking organization method for enrichment of evaluations (PROMETHEE) method considers a significant outranking class of multi-criteria decision analysis (MCDA), as it is easy to deal with its simple computations. In the PROMETHEE, different preference functions are used according to the type and nature of attributes or criteria that demonstrate the clearness and reliability of this method. This study provides a new version of the PROMETHEE method using bipolar fuzzy information, named the bipolar fuzzy PROMETHEE method. Bipolar fuzzy sets or numbers constitute an asymmetrical relationship between two judgmental factors of human reasoning. Vague and imprecise knowledge is characterized by bipolar fuzzy linguistic terms which are further represented in the form of trapezoidal bipolar fuzzy numbers. The trapezoidal bipolar fuzzy numbers are used by analysts to assign the preferences of alternatives on the basis of criteria. Further, a ranking function of bipolar fuzzy numbers is considered to access the crisp real preferences of alternatives. The entropy weighting information is employed to calculate the weights of attributes by considering the condition of normality. A numerical example such as the selection of green suppliers by using the bipolar fuzzy PROMETHEE is performed on the basis of the usual criterion preference function in order to explain the procedure of the proposed method. Comparable results are derived by using the combination of linear and level preference functions. The results obtained by using different types of preference functions are the same, representing the authenticity of the proposed bipolar fuzzy PROMETHEE method.

Supplier Evaluation Model in Freight Activity Microsimulation Estimator

2018 ◽  
Vol 2672 (9) ◽  
pp. 70-80
Author(s):  
Seyed Mehdi Mahmoudifard ◽  
Ramin Shabanpour ◽  
Nima Golshani ◽  
Kiana Mohammadian ◽  
Abolfazl Mohammadian
Keyword(s):  
Decision Tree ◽  
Supplier Selection ◽  
Selection Process ◽  
Evaluation Model ◽  
Evaluation Process ◽  
Probit Model ◽  
Decision Tree Model ◽  
Supplier Evaluation ◽  
Tree Model ◽  
Main Components

The supplier selection process is one of the main components of the Freight Activity Microsimulation Estimator (FAME), which is a disaggregated and comprehensive framework that simulates the freight movements for all industries and all commodities in the U.S. However, the supplier selection and supplier evaluation models in the FAME face computational issues. Using the result of a nationwide establishment survey, this study analyzes the supplier selection problem by evaluating the potential suppliers. The buyer’s behavior on selecting the distance range in which the trade forms is analyzed using both machine-learning and statistical approaches. A decision-tree model and an ordered probit model are estimated and compared to better comprehend the supplier evaluation process. The results indicate that several factors such as the type of the business, commodity type, number of orders, and the value of orders are significant factors. In addition, the decision-tree model is reliable in forecasting the consumer’s behavior.

scholarly journals Choosing the Best Cowpea Varieties Appropriate for the Central-Eastern Region of Burkina Faso using PROMETHEE Methods

2019 ◽  
Vol 12 (4) ◽  
pp. 1717-1730
Author(s):  
Stéphane Aimé Metchebon Takougang ◽  
Naguiesmongho Christian Nana ◽  
Teyoure Benoît Joseph Batieno ◽  
Blaise Somé
Keyword(s):  
Burkina Faso ◽  
Evaluation Process ◽  
Eastern Region ◽  
Multi Criteria Decision Making ◽  
Cowpea Varieties ◽  
Promethee Method ◽  
Long Term Consequences ◽  
Central Eastern ◽  
Selection Of

Decisions on the choice of varieties to be planted in a region are delicate because they can have positive or negative long-term consequences on the economic, environmental and nutritional level of a country.  For this reason, a multi-criteria decision making (MCDM) based approach is proposed to conduct this choosing process. The proposed approach first of all makes it possible to identify alternatives, i.e. agricultural varieties, criteria with their weighting and evaluation process, in interaction with the stakeholders in the production-processing-consumption food chain. Afterward, PROMETHEE method (I and II) is used to aggregate the preference informations stemming from the structuring process and make it possible to choose the best agricultural varieties suitable for a given region. An Application for the selection of suitable cowpea varieties for the Central-Eastern region of Burkina Faso is made to demonstrate the implementation and effectiveness of our approach. As a result, the varieties KVx442-3-25SH (Komcallé) and Yiis-Yandé emerged as the best choices of suitable cowpea varieties for the Central-Eastern region of Burkina Faso

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