Sustainable end-of-life vehicles (ELVs) management has become a top important issue for automotive industries in many countries to tackle environmental and economic challenges. Currently, parts of the ELVs are used in many different ways, which often increase environmental hazards and reduce economic benefits. The selection of the best compromise ELVs management alternative (e.g., reuse, remanufacturing, and recycling) can bring maximum sustainability performances for any society or organization when things are to be settled professionally. The present paper proposes a multicriteria decision-making approach using Decision-Making Trial and Evaluation Laboratory (DEMATEL) and extent analysis method on fuzzy AHP (FEAHP) to aid the decision maker in selecting the best compromise ELV management alternative with respect to the sustainable criteria. Here, DEMATEL is used to evaluate the sustainable criteria and then FEAHP is applied to evaluate the best alternatives. A case study is presented to demonstrate the applicability of the proposed approach in real-world applications. The results show that it is a viable approach and can be used as an effective tool for criteria and alternative evaluation. Finally, the implication of this study and limitations are also discussed.

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Treatment of textile wastewater by the electrocoagulation (EC) process is being investigated by this experimental study. The objective of this experiment is to observe the efficiency of the EC process in removing chemical oxygen demand (COD) and turbidity. In this experiment an iron electrode is used in the EC process, and different working parameters such as pH, current density and operating time were studied in an attempt to achieve a higher removal capacity. The results show that the maximum COD removal occurred at neutral pH at operating time 30 min. COD and turbidity removal reaches at maximum, with optimum consumption of electrodes, between current density 85-95 A/m 2 , and only trace amounts of metals were determined in the EC treated effluent.

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