supplier selection

List of Articles supplier selection

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1 - Supplier selection with the approach of combining Fuzzy Delphi Analytic Hierarchy Process (FDAHP) and Grey VIKOR methods
Mohammad Mahdi Mozaffari

The supplier selection is one of the most important issues in supply chain management discipline and it is regarded as an effective factor for companies to survive in the competitive environment. Selecting the best supplier among various suppliers, considering a mixture More

The supplier selection is one of the most important issues in supply chain management discipline and it is regarded as an effective factor for companies to survive in the competitive environment. Selecting the best supplier among various suppliers, considering a mixture of criteria that are sometimes in conflict, makes it a complicated multi-criteria decision making problem. On the other hand, supplier selection is highly dependent on the assessments of decision makers and according to the environmental dynamics and incomplete information available to decision makers, they are faced with some uncertainty in their assessments. The purpose of this paper is to present a model of multi-criteria decision making under uncertainty by using concepts of fuzzy and grey theories in order to select the optimal supplier. In this research, first, the weights of supplier selection criteria are determined by using fuzzy Delphi and analytic hierarchy process, then suppliers are ranked by using Grey VIKOR which is a newly developed approach in the field of multi-criteria decision making under uncertainty Manuscript profile
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2 - Introduction of a Robust Model in Order to Select Suppliers in Supply Chain: An Integration of AHP-Bull’s Eye-PAF Approach
علی بنیادی نایینی mohammad hasan kamfiroozi

Nowadays in the markets competitive atmosphere, the companies aren’t able to provide their needs. So they prefer to use supply chain. Selecting the suppliers is introduced as a multi attribute decision making (MADM) problem. The current paper tries to solve this problem More

Nowadays in the markets competitive atmosphere, the companies aren’t able to provide their needs. So they prefer to use supply chain. Selecting the suppliers is introduced as a multi attribute decision making (MADM) problem. The current paper tries to solve this problem based on three parameter interval grey numbers. So, within use of AHP-Bull’s eye integration weighting method, this paper wants to weigh attributes and ranks alternatives by PAF (Projection Attribute Function) method. at the end, in order to show the ability of this method, the robustness of this method is tested in front of SAW method (that is one of the celebrated method). Manuscript profile
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3 - Choose the best suppliers with a decision support system based on self-organizing neural networks in Oil Projects
Meysam Jafari Eskandari mostafa yousefi

One of the most essential activities to create the appropriate supply chain is supplier selection process. The system must be capable of providing buyer's requirements in terms of quality products, at affordable prices and at the appropriate time and volume. The nature More

One of the most essential activities to create the appropriate supply chain is supplier selection process. The system must be capable of providing buyer's requirements in terms of quality products, at affordable prices and at the appropriate time and volume. The nature of these decisions is usually complex and unstructured. In this study, self-organizing neural networks for decision making for the supplier selection decision is provided in a decision support system environment. Using self-organizing neural networks as a clustering techniques, suppliers clustered. new supplier standards compared with spikes winner and will decide on accepting or rejecting provider. The output of the model is supplier selection and evaluation by appropriate conditions for new suppliers. Manuscript profile
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4 - A systematic review of artificial neural network applications in supply chain management
Aref Toghroljerdi pooria malekinejad

Nowadays, the success rate of companies/organizations in the competitive market is the performance of their supply chain managment. Various techniques have been utilized to improve it, which one of the most widely used methods to solve these problems is artificial neura More

Nowadays, the success rate of companies/organizations in the competitive market is the performance of their supply chain managment. Various techniques have been utilized to improve it, which one of the most widely used methods to solve these problems is artificial neural network. The purpose of this study is to systematically review the various applications of artificial neural networks in solving the problems of different parts of the supply chain. Hence, by using the literature review, the key vocabulary of the link between the two domains was identified. Using the keywords extracted from the research literature, a search was made between the Scopus databases and Web-based Science. By searching in these databases, articles related to the application of artificial neural network in different areas of supply chain have been extracted. Finally, the articles were filtered using a variety of tools and then high-ranking papers were identified. Using important articles identified, various categories of artificial neural network applications were implemented in supply chain management. The results of this study indicate that artificial neural networks have been most used in solving engineering, computer science and business issues Manuscript profile

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List of Articles supplier selection