GREEN SUPPLIER SELECTION BY USING FUZZY TOPSIS METHOD

Autor: Ahmet Doğan, Uğur Özcan, Ismet Söylemez
Rok vydání: 2016
Předmět:
Zdroj: Uncertainty Modelling in Knowledge Engineering and Decision Making.
DOI: 10.1142/9789813146976_0101
Popis: 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.
Databáze: OpenAIRE