A Fuzzy Based Green Performance Evaluation Model for Automotive Industry

Nowadays, increasing manufacturing activities cause to critical environmental problems such as global warming and air pollution. These environmental problems have provided increase of environmental awareness in the production process and therefore the green manufacturing (GM) concept has emerged. In general, this concept refers to a production process, which has high efficiency and minimum environmental damage in terms of resources and products. Besides, 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 other related sectors. Therefore, it is important to evaluate the adoption level of green manufacturing concept in this sector. In this context, fuzzy multi criteria decision making (MCDM) methods which handle uncertainty in decision making problems can be effectively used for green performance evaluation of companies. In this study, it is aimed to assess green performance of manufacturers which operate in automotive sector by using a MCDM model based on fuzzy analytic hierarchy process (AHP) method. This model consists of 5 main criteria which are green design, green energy, green material, green logistics and green management, and 19 sub criteria located under these main criteria. Green energy and low waste criteria were determined as the most important main and sub criteria with weights of 0.268 and 0.1026 respectively. The proposed model can be applied as an effective tool for companies operating in the automotive industry to measure and follow their own green performance and to select their suppliers