Green Supplier Selection by Using Fuzzy TOPSIS Method

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Date

2016

Journal Title

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Volume Title

Publisher

World Scientific Publishing Co. Pte Ltd wspc@wspc.com.sg

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Green Open Access

No

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No
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Top 10%

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Abstract

With the increased environmental consciousness in customers, organizations took upon the task of redesigning their strategic goals in a more environment-sensitive way in order to fulfill their social obligations, to enable sustainability, to gain competitive advantage and to make the world more habitable. Because, the emerging conditions in the 21st century indicate that the traditional criteria -such as price, cost so on for supply chain management, supplier selection and performance measurement of suppliers are no more sufficient and there is the necessity of adding new criteria such as environmental matters. This paper deals with the problem of selecting green suppliers in an organization in Turkey that has operations in the field of accumulator. The aim is to select the greenest of 3 suppliers in Turkey, France and Bulgaria which supply the organization with the plastic material used in the production of accumulator. The problem is solved via fuzzy TOPSIS, which is a multi-criteria decision making method (MCDM), and the results are used to select the greenest supplier. © 2017 Elsevier B.V., All rights reserved.

Description

City Council of Roubaix; Metropole Europeenne de Lille
Ozcan, Ugur/0000-0001-8283-9579; Soylemez, Ismet/0000-0002-8253-9389;

Keywords

Competition, Fuzzy Logic, Knowledge Engineering, Supply Chain Management, Sustainable Development, Uncertainty Analysis, Competitive Advantage, Environment-Sensitive, Green Supplier, Green Supplier Selections, Multi-Criteria Decision Making Methods, Plastic Materials, Strategic Goals, Supplier Selection, Decision Making

Fields of Science

0502 economics and business, 05 social sciences

Citation

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N/A

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N/A
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OpenCitations Citation Count
4

Source

-- Uncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016 -- Roubaix -- 131626

Volume

10

Issue

Start Page

638

End Page

645
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Scopus : 3

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Mendeley Readers : 21

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