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Multi‐criteria supplier selection using fuzzy AHP

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TLDR
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.

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Citations
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Multi-criteria decision making approaches for supplier evaluation and selection: A literature review

TL;DR: Evidence is provided that the multi-criteria decision making approaches are better than the traditional cost-based approach, but also aids the researchers and decision makers in applying the approaches effectively.
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Global supplier development considering risk factors using fuzzy extended AHP-based approach

TL;DR: In this article, a fuzzy extended analytic hierarchy process (FEAHP) based methodology is discussed to tackle the different decision criteria like cost, quality, service performance and supplier's profile including the risk factors involved in the selection of global supplier in the current business scenario.
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A green supplier selection model for high-tech industry

TL;DR: With the proposed model, manufacturers can have a better understanding of the capabilities that a green supplier must possess and can evaluate and select the most suitable green supplier for cooperation.
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Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014

TL;DR: This study reviewed a total of 403 papers published from 1994 to 2014 in more than 150 peer reviewed journals and indicated that, in 2013, scholars have published papers more than other years.
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A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection

TL;DR: The comparative analysis has shown that the Fuzzy TOPSIS method is better suited to the problem of supplier selection in regard to changes of alternatives and criteria, agility and number of criteria and alternative suppliers.
References
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Book

Fuzzy sets

TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
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A 2dvEv- bit distributed algorithm for the directed Euler trail problem

TL;DR: The algorithm can be used as a building block for solving other distributed graph problems, and can be slightly modified to run on a strongly-connected diagraph for generating the existent Euler trail or to report that no Euler trails exist.
Book

Fuzzy Set Theory - and Its Applications

TL;DR: The book updates the research agenda with chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control, fuzzy data analysis, decision making and fuzzy set models in operations research.
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Fuzzy Set Theory and Its Applications

TL;DR: In this paper, a new book about fuzzy set theory and its applications is presented, which can be used to explore the knowledge of the knowledge in a new way, even for only few minutes to read a book.
Journal ArticleDOI

Applications of the extent analysis method on fuzzy AHP

TL;DR: The use of triangular fuzzy numbers for pairwise comprison scale of fuzzy AHP is introduced, and the use of the extent analysis method for the synthetic extent value S i of the pairwise comparison is used.