GREEN SUPPLIER SELECTION WITH EDAS AND VIKOR METHODS IN THE ELECTRICITY SECTOR

Özlem KARATAÅž () and Tijen ÖVER Özã‡elä°k ()
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Özlem KARATAŞ: Sakarya Üniversitesi
Tijen ÖVER Özã‡elä°k: Sakarya Ãœniversitesi

Eurasian Business & Economics Journal, 2022, vol. 30, issue 30, 99-114

Abstract: In recent years, consumers have tended to develop environmentally friendly approaches to nature. Businesses also carry out production with an environmentally friendly approach and reflect this understanding in all production processes. Choosing the right green supplier is vital in enterprises' ecologically friendly production. Businesses can have more than one green supplier in today's market. This situation brings up supplier selection/decision-making problems for firms, and these problems contain many uncertainties. It becomes even more critical that the decision-makers make their decisions objectively and accurately, especially if the number of criteria and alternatives is high. Multi-criteria decision-making methods make it possible to evaluate with a scientific and systematic approach in case of multiple alternatives and criteria. Due to this feature, it is widely used in green supplier selection problems. In this study, the green supplier selection problem of a business operating in the electricity sector was investigated. The primary purpose of the study is to provide the optimum green supplier selection for the enterprise. First of all, the opinions of three experts in the enterprise were taken and obtained from the literature; compliance quality, green product design, green purchasing, and green production criteria have created the most suitable criteria for the study. EDAS and VIKOR methods, which are multi-criteria decision-making methods, are handled separately, and the optimum green supplier is selected for the enterprise. The consistency of the results obtained with the RoHS analysis applied in the enterprise is examined. As a result of the research, the same green supplier ranking was obtained with the RoHS analysis, VIKOR, and EDAS methods.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eas:buseco:v:30:y:2022:i:30:p:99-114

DOI: 10.17740/eas.econ.2022-V30-07

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