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    Investigation of Shelf Life for Door Seal Mixture in Automotive Industry
    (2022) Cihan, Ahmet; Kantoğlu, Barış; Güner, Yusuf; Argun, İrem Düzdar
    The door seals for vehicles in automotive industry, which are one of the most important components, provide insulation and damping. Quality of the product highly depends on the shelf life of the seal compound under required temperature. The most important parameters of the compound are its viscosity and scorch values. The aim of this study is to determine the most suitable shelf life in manufacturing and storage processes for seal compound. For stating the important factors affecting shelf life of frequently used main two types of seal compound, interviews are made with the producing firm. Then for both types of compound, series of controlled experiments are performed, and linear estimation models are developed with the help of the results of these experiments. In this study, the results of generated multi variable regression models are presented. It is seen that the generated estimation models can be employed by the producers, and the results of the experiments are overlapping with the results of studies performed in the literature.
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    A mixed integer linear programming model for long-term planning of municipal solid waste management systems: Against restricted mass balances
    (Pergamon-Elsevier Science Ltd, 2020) Batur, Maliki Ejder; Cihan, Ahmet; Korucu, Mahmut Kemal; Bektas, Nihal; Keskinler, Bulent
    Long-term planning of municipal solid waste management systems is a complex decision making problem which includes a large number of decision layers. Since all different waste treatment and disposal processes will show different responses to each municipal solid waste component, it is necessary to separately evaluate all waste components for all processes. This obligation creates an obstacle in the programming of mass balances for long-term planning of municipal solid waste management systems. The development of an ideal mixed integer linear programming model that can simultaneously respond to all essential decision layers including waste collection, process selection, waste allocation, transportation, location selection, and capacity assessment has not been made possible yet due to this important modeling obstacle. According to the current knowledge of the literature, all mixed integer linear programming studies aiming to address this obstacle so far have had to restrict many different possibilities in their mass balances. In this study, a novel mixed integer linear programming model was formulated. ALOMWASTE, the new model structure developed in this study, was built to take into consideration different process, capacity, and location possibilities that may occur in complex waste management processes at the same time. The results obtained from a case study showed the feasibility of new mixed integer linear programming model obtained in this study for the simultaneous solution of all essential decision layers in an unrestricted mass balance. The model is also able to provide significant convenience for the multi-objective optimization of financial-environmental-social costs and the solution of some uncertainty problems of decision-making tools such as life cycle assessment. (C) 2020 Elsevier Ltd. All rights reserved.