A Fuzzy Logic Based Green Performance Evaluation Model for Automotive Industry

Abstract

Nowadays, increasing manufacturing activities cause to critical environmental problems such as global warming and air pollution. Theseenvironmental problems have provided increase of environmental awareness in the production process and therefore the greenmanufacturing (GM) concept has emerged. In general, this concept refers to a production process, which has high efficiency andminimum environmental damage in terms of resources and products. GM has recently become important in almost every sector.Automotive industry has significant importance in terms of economy and employment when considered its sub-industry and otherrelated sectors. Therefore, it is important to evaluate the adoption level of green manufacturing concept in this sector. Fuzzy multicriteria decision making (FMCDM) methods which handle uncertainty in decision making problems can be effectively used for greenperformance evaluation of companies. In this study, it is aimed to assess green performance of manufacturers which operate inautomotive sector by using a MCDM model based on fuzzy analytic hierarchy process (FAHP) method. This model consists of 5 maincriteria which are green design, green energy, green material, green logistics and green management, and 19 sub criteria located underthese main criteria. As a result of the study, green energy and low waste criteria were determined as the most important main and subcriteria with weights of 0.268 and 0.1026 respectively. The proposed model can be used as an effective tool for companies operating inthe automotive industry to measure and to follow their green performance and to select their suppliers.