scholarly journals Supplier selection for hospital medical equipment using fuzzy multicriteria decision making approach

2019 ◽  
Vol 639 ◽  
pp. 012001 ◽  
Author(s):  
Pattareeya Khumpang ◽  
Sirawadee Arunyanart
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Medical Equipment ◽  
Multicriteria Decision Making ◽  
Multicriteria Decision ◽  
Hospital Medical ◽  
Selection For

Optimal ecodesign selection for biodiesel production in biorefineries through multicriteria decision making

2021 ◽  
Author(s):  
Luisa Andrea González-Cruz ◽  
Luis Fernando Morales-Mendoza ◽  
Alberto Alfonso Aguilar-Lasserre ◽  
Catherine Azzaro-Pantel ◽  
Paulina Martínez-Isidro ◽  
...  
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Biodiesel Production ◽  
Multicriteria Decision ◽  
Selection For

scholarly journals A Study of Multicriteria Decision Making for Supplier Selection in Automotive Industry

2013 ◽  
Vol 2013 ◽  
pp. 1-22 ◽  
Author(s):  
Nadia Jamil ◽  
Rosli Besar ◽  
H. K. Sim
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Supplier Selection ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Ideal Solution ◽  
Fuzzy Analytical Hierarchy Process ◽  
Automotive Manufacturing ◽  
Multicriteria Decision ◽  
Hierarchy Process

This paper is designed to present the effectiveness of group multicriteria decision making in automotive manufacturing company focusing on the selection of suppliers in Malaysia. The process of selecting suppliers is one of the most critical and challenging endeavor in any supply chain management. There are five decision making tools being analyzed in this study, namely, analytical hierarchy process (AHP), fuzzy analytical hierarchy process (FAHP), technique for order performance by similarity to ideal solution (TOPSIS), fuzzy technique for order performance by similarity to ideal solution (FTOPSIS), and fuzzy analytical hierarchy process integrated with fuzzy technique for order performance by similarity to ideal solution (FAHPiFTOPSIS). The scores of ranking among the suppliers in each MCDM tools (AHP, FAHP, TOPSIS, FTOPSIS, and FAHPiFTOPSIS) show significantly comparable variation. Scores of the best supplier is then compared to the lowest supplier for all MCDM tools whereby this reflects that the highest percentage goes to TOPSIS with scoring of 79.37%. On the contrary, FAHPiFTOPSIS demonstrated the lowest score variation of 22.42% which indicates that FAHPiFTOPSIS is able to eliminate biasness in supplier selection process.

scholarly journals A Fuzzy-Grey Multicriteria Decision Making Approach for Green Supplier Selection in Low-Carbon Supply Chain

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Qinghua Pang ◽  
Tiantian Yang ◽  
Mingzhen Li ◽  
Yi Shen
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Multicriteria Decision Making ◽  
Low Carbon ◽  
Chain Management ◽  
Multicriteria Decision ◽  
Green Supplier Selection ◽  
Carbon Supply

Due to the increasing awareness of global warming and environmental protection, many practitioners and researchers have paid much attention to the low-carbon supply chain management in recent years. Green supplier selection is one of the most critical activities in the low-carbon supply chain management, so it is important to establish the comprehensive criteria and develop a method for green supplier selection in low-carbon supply chain. The paper proposes a fuzz-grey multicriteria decision making approach to deal with these problems. First, the paper establishes 4 main criteria and 22 subcriteria for green supplier selection. Then, a method integrating fuzzy set theory and grey relational analysis is proposed. It uses the membership function of normal distribution to compare each supplier and uses grey relation analysis to calculate the weight of each criterion and improves fuzzy comprehensive evaluation. The proposed method can make the localization of individual green supplier more objectively and more accurately in the same trade. Finally, a case study in the steel industry is presented to demonstrate the effectiveness of the proposed approach.

USE OF MULTICRITERIA DECISION MAKING METHODS IN THE PROJECTS SELECTION FOR EXPANSION OF RESIDENTIAL CONDOMINIUMS

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Leoni Pentiado Godoy ◽  
Natalia Pedroso Serpa ◽  
André Brum Missaggia ◽  
Roger Da Silva Wegner ◽  
Julio Siluk ◽  
...  
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Multicriteria Decision ◽  
Selection For

scholarly journals A New Dynamic Multicriteria Decision-Making Approach for Green Supplier Selection in Construction Projects under Time Sequence

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Shi Yin ◽  
Baizhou Li ◽  
Hengmin Dong ◽  
Zeyu Xing
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Construction Projects ◽  
Programming Model ◽  
Comprehensive Evaluation ◽  
Multicriteria Decision Making ◽  
Green Building ◽  
Time Sequence ◽  
Multicriteria Decision ◽  
Green Supplier Selection

Nowadays, due to the lack of natural resources and environment problems which have been appearing increasingly, green building is more and more involved in the construction industry. The evaluation and selection of green supplier are a significant part of the development of green building. In this paper, we propose a new dynamic multicriteria decision-making approach in construction projects under time sequence to deal with these problems. First, the paper establishes 4 main criteria and 17 subcriteria for green supplier selection in construction projects. Then, a method considering interaction between criteria and the influence of constructors subjective preference and objective criteria information is proposed. It uses the interval-valued intuitionistic fuzzy geometric weighted Heronian means (IVIFGWHM) operator and multitarget nonlinear programming model to calculate the comprehensive evaluation results of potential green suppliers. The proposed method is much easier for constructors to select green supplier and make the localization of green supplier more practical and accurate in construction projects. Finally, a case study about a green building project is given to verify practicality and effectiveness of the proposed approach.

scholarly journals Fuzzy Multicriteria Decision-Making Model (MCDM) for Raw Materials Supplier Selection in Plastics Industry

Mathematics ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 981 ◽  
Author(s):  
Wang ◽  
Thanh ◽  
Chyou ◽  
Lin ◽  
Nguyen
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Raw Materials ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Raw Material ◽  
Production Chain ◽  
Multicriteria Decision ◽  
Plastic Industry ◽  
Decision Making Model

To be able to compete in the domestic plastic industry, small and medium-sized enterprises producing plastic need to proactively find the supply of raw materials, avoiding shortages like in the previous years. Purchasing is extremely important and will create a competitive advantage with competitors in the market, so finding suppliers will determine the success in the later stages of the production chain. With the development of the current information system, selection and evaluation have become important in order to achieve effective decision-making through optimal options. In this study, the authors provide a new approach for decision-makers in evaluating and selecting suppliers, which is formulated based on the supply chain operation reference (SCOR) model, fuzzy analytic network process (FANP), and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). The contribution of this research is to propose a multicriteria decision-making model (MCDM) for raw material supplier selection in the plastic industry. This research also provided a useful guideline for supplier selection in other industry.

scholarly journals A New Methodology of Multicriteria Decision-Making in Supplier Selection Based onZ-Numbers

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Bingyi Kang ◽  
Yong Hu ◽  
Yong Deng ◽  
Deyun Zhou
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Multicriteria Decision Making ◽  
The Other ◽  
Uncertain Information ◽  
Significant Issue ◽  
Multicriteria Decision ◽  
Domain Experts ◽  
Judgement Matrix ◽  
Information Transformation

Supplier selection is a significant issue of multicriteria decision-making (MCDM), which has been heavily studied with classical fuzzy methodologies, but the reliability of the knowledge from domain experts is not efficiently taken into consideration.Z-number introduced by Zadeh has more power to describe the knowledge of human being with uncertain information considering both restraint and reliability. In this paper, a methodology for supplier selection usingZ-numbers is proposed considering information transformation. It includes two parts: one solves the issue of how to convertZ-number to the classic fuzzy number according to the fuzzy expectation; the other solves the problem of how to get the optimal priority weight for supplier selection with genetic algorithm (GA), which is an efficient and flexible method for calculating the priority weight of the judgement matrix. Finally, an example for supplier selection is used to illustrate the effectiveness the proposed methodology.

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