ÇKKV yöntemleri kullanarak tersine lojistik kapsamındaki elektronik atıkların çevresel risk değerlendirmesi

Due to technological developments, industrialization, rapid urbanization and population growth, the effects of human activities on the environment are increasing day by day all over the world. The expansion of production and consumption activities leads to more intensive use of natural resources. Hence resulting wastes have reached a level that threatens both the environment and human health. As a consequence of this threat, reverse logistics concept gains importance. In this study, the assessment of the "environmental risks" in reverse logistics of fluorescent lamps, such as CO2 emissions, warehouse energy consumption, soil pollution risk etc. are considered as a multi criteria decision making (MCDM) problem. Fluorescent lamps are examined as a case study because they contain hazardous substances and their waste threaten highly the environment and human health. In first phase, the Analytical Network Process (ANP) based on data collection from the experts, is used to determine the ranking of the criteria by calculating their weights. Complex Proportional Assessment (COPRAS) is applied for evaluating possible precaution strategies against environmental risks. In order to compare the results obtained by COPRAS method, Elimination and Choice Translating Reality (ELECTRE) method has been used. After the results of these two methods have been the same, the second phase of the thesis has been started. In the second phase of the thesis, a model has been developed to provide a solution to the strategy chosen by the decision-makers. In this model, alternative solutions have been produced for the strategy chosen by Step-wise Weight Assessment Ratio Analysis (SWARA) and House of Quality (HOQ) from MCDM methods. The major contribution of this work to the literature is that the environmental risk factors in the reverse logistics of fluorescent lamps will be examined and prioritized, and the possible precautions in reverse logistics risk factors will be proposed.