
AHP and TOPSIS Integration for Green Supplier Selection: A Case Study in Indonesia
Author(s) -
Dana Marsetiya Utama
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1845/1/012015
Subject(s) - topsis , analytic hierarchy process , weighting , selection (genetic algorithm) , operations research , computer science , global warming , supplier evaluation , business , environmental economics , manufacturing engineering , operations management , engineering , supply chain , climate change , marketing , supply chain management , economics , artificial intelligence , medicine , ecology , biology , radiology
Recently, the problem of global warming arising from manufacturing activities has attracted attention. One of the triggers of global warming is the aspect of production. This aspect requires raw materials supplied by the supplier. The selection of the right supplier by considering environmental aspects can reduce the problem of global warming. The purpose of this study is to integrate the AHP and TOPSIS methods in green supplier selection. Eight criteria are used to select suppliers weighted by the AHP method. AHP weighting results are used to select suppliers with the TOPSIS method. A case study was applied to an offset printing company in Indonesia. The results show that the quality criteria have the highest importance. In addition, the results showed that the AHP and TOPSIS methods were easy to use in Green Supplier Selection.