Decision Support System for Green Supplier Selection Using the Fuzzy Inference System Method in Abrasive Companies

Defi Norita¹, Ririn Regiana Dwi Satya^2*, Andary Asvaroza Munita³ and Asep Endih Nurhidayat⁴

Abstract

The development of information and communication technology makes it easier for users in the industrial world to make decisions in choosing environmentally friendly suppliers more easily. This study aims to determine the selection of green suppliers of all the criteria that have been determined and make a decision support system for selecting green suppliers with the Fuzzy Inference System method. The method used in making identification of green supplier selection is to create criteria based on fuzzy rules and to make digital business modeling using business process modeling notation. Decision support there are 4 criteria used, namely price, reject quality, late delivery and environmental management. Based on the results of research conducted it is known that with the fuzzy inference system method that is assisted using matlab software, the optimization results on the fuzzy inference system show that prices are 20.5%, quality is 5.5%, environment is 5.5%, and material delays are 3%, then supplier performance in selecting green suppliers with a decision making system of 55% so that green supplier selection is obtained at abrasive companies.

Keywords

Decision Support System; Fuzzy Inference System; Green Supplier Selection

Cite This Article

Norita, D., Satya, R. R. D., Munita, A. A. and Nurhidayat, A. E. (2021). Decision Support System for Green Supplier Selection Using the Fuzzy Inference System Method in Abrasive Companies. International Journal of Scientific Advances (IJSCIA), Volume 2| Issue 2: Mar-Apr 2021, Pages 120-123, URL: https://www.ijscia.com/wp-content/uploads/2021/03/Volume2-Issue2-Mar-Apr-No.55-120-123.pdf

Publication In

Volume 2 | Issue 2: Mar-Apr 2021