Institution
Galatasaray University
Education•Istanbul, Turkey•
About: Galatasaray University is a education organization based out in Istanbul, Turkey. It is known for research contribution in the topics: Fuzzy logic & Multiple-criteria decision analysis. The organization has 393 authors who have published 1050 publications receiving 24416 citations. The organization is also known as: Université Galatasaray & Enderun School.
Topics: Fuzzy logic, Multiple-criteria decision analysis, Supply chain, Group decision-making, Analytic hierarchy process
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors used fuzzy analytic hierarchy process (AHP) to select the best supplier firm providing the most satisfaction for the criteria determined by the purchasing managers of a white good manufacturer established in Turkey.
Abstract: A supplier selection decision inherently is a multi‐criterion problem. It is a decision of strategic importance to companies. The nature of this decision usually is complex and unstructured. Management science techniques might be helpful tools for these kinds of decision‐making problems. The aim of this paper is to use fuzzy analytic hierarchy process (AHP) to select the best supplier firm providing the most satisfaction for the criteria determined. The purchasing managers of a white good manufacturer established in Turkey were interviewed and the most important criteria taken into account by the managers while they were selecting their supplier firms were determined by a questionnaire. The fuzzy AHP was used to compare these supplier firms.
1,109 citations
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TL;DR: An overview of forecasting methods of solar irradiation using machine learning approaches is given and it will be shown that other methods begin to be used in this context of prediction.
1,095 citations
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TL;DR: A hybrid fuzzy multi criteria decision making model that can assist in evaluating green suppliers is proposed that combines DEMATEL, ANP and TOPSIS methods in a fuzzy context and a case study is proposed for green supplier evaluation in a specific company, namely Ford Otosan.
Abstract: Highlights? This study proposes a hybrid fuzzy multi criteria decision making model that can assist in evaluating green suppliers. ? The proposed model integrates DEMATEL, ANP and TOPSIS methods in a fuzzy context. ? Ford Otosan is selected as a case company in this study for the evaluation of green supplier alternatives. ? The supplied case study provides additional insights for research and practical applications. It is well known that "green" principles and strategies have become vital for companies as the public awareness increased against their environmental impacts. A company's environmental performance is not only related to the company's inner environmental efforts, but also it is affected by the suppliers' environmental performance and image. For industries, environmentally responsible manufacturing, return flows, and related processes require green supply chain (GSC) and accompanying suppliers with environmental/green competencies. During recent years, how to determine suitable and green suppliers in the supply chain has become a key strategic consideration. Therefore this paper examines GSC management (GSCM) and GSCM capability dimensions to propose an evaluation framework for green suppliers. However, the nature of supplier selection is a complex multi-criteria problem including both quantitative and qualitative factors which may be in conflict and may also be uncertain. The identified components are integrated into a novel hybrid fuzzy multiple criteria decision making (MCDM) model combines the fuzzy Decision Making Trial and Evaluation Laboratory Model (DEMATEL), the Analytical Network Process (ANP), and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) in a fuzzy context. A case study is proposed for green supplier evaluation in a specific company, namely Ford Otosan.
820 citations
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TL;DR: This article reviews the state-of-the-art of existing DSC literature in detail and identifies key limitations and prospects, summarizes prior research and identifies knowledge gaps by providing advantages, weaknesses and limitations of individual methods.
528 citations
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TL;DR: In this paper, an integrated framework based on fuzzy-QFD and a fuzzy optimization model is proposed to determine the product technical requirements (PTRs) to be considered in designing a product.
525 citations
Authors
Showing all 411 results
Name | H-index | Papers | Citations |
---|---|---|---|
Gülçin Büyüközkan | 50 | 188 | 9354 |
Cem Ersoy | 35 | 210 | 7584 |
E. Ertugrul Karsak | 28 | 53 | 3241 |
Hocine Cherifi | 26 | 169 | 2227 |
Ozlem Durmaz Incel | 25 | 66 | 3322 |
Vincent Labatut | 23 | 114 | 1558 |
Athanase Papadopoulos | 22 | 197 | 2567 |
Christophe Paoli | 21 | 57 | 2376 |
Peggy Zwolinski | 18 | 89 | 1616 |
Tankut Acarman | 17 | 106 | 1019 |
Gulgun Kayakutlu | 16 | 79 | 1276 |
Orhan Feyzioğlu | 16 | 54 | 1413 |
Temel Öncan | 15 | 37 | 1070 |
Ozan Caglayan | 13 | 39 | 746 |
Halis Murat Yildiz | 13 | 52 | 559 |