Department of Industrial Engineering
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Browsing Department of Industrial Engineering by Author "BAÇ, Uğur"
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Item MULTIMODAL TRANSPORTATION OPTIMIZATION OF MULTI-COMMODITY HAZARDOUS MATERIALS WITH A LEXICOGRAPHIC GOAL PROGRAMMING MODEL(2022-06-22) GÜZEY, Refika Ruzin; BAÇ, UğurThere are many hazardous materials defined in different classes with their chemical and physical properties, and they are used as raw materials in many products produced in the production sector. Those who use and transport these substances should aim at the minimum risk that ensures the implementation of legal rules, in addition to the objectives such as the minimum cost and time stipulated in their businesses. Highway is widely used for hazardous materials in our country. In the literature, the efficiency of different types of multimodal transport has been mentioned. There are multi objective studies, mainly with minimum cost and minimum risk, in which multi-modal transportation is used for the transportation of hazardous materials. These studies mostly focused on the fuel group, which is one of the hazardous materials. In this study, minimizing the cost, risk and ultimately the transportation time in transportation between the hazardous materials producers and the needy people in different cities are discussed. In addition, it has been evaluated that air transportation, which does not have a priority of use, is an option for the multi-modal transportation of hazardous materials that are outside the fuel group and can be transported by plane. Goal programming model is used to solve the problem. The effectiveness of the proposed model was evaluated by coding in the CPLEX solver with a case study.Item SELECTION OF THE BEST HVAC SYSTEM FOR INDUSTRIAL BUILDINGS BY USING MULTI-CRITERIA DECISION-MAKING TOOLS(2022-01-20) ALALOOSI, KHALID; BAÇ, Uğur; TURHAN, CihanHeating Ventilating and Air Conditioning (HVAC) selection is a difficult task, especially when the selection relates to technical, economic, and environmental criteria. HVAC systems are responsible for 50% of total energy consumption in buildings and play a major role in the ability to reduce harmful emissions. The great demand for energy and the upward trend in the use of HVAC systems with the global need to impose measures on environmental hygiene underlines and focuses the importance of choosing the most appropriate HVAC system during the design process. The case study of an industrial building in Ankara has several machines studied. The Design Builder (DB) program was used in the dynamic building energy simulation and knowledge of the total energy consumption of the building. Stepwise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) methods has been applied for the purpose of decision making due to its ability to accurately weigh criteria and to choose the most appropriate alternative through subjective and objective assessments with great accuracy. WASPAS is characterized by its ability to facilitate the effective data and vague information and to provide a good systematic decision-making analysis. Eleven HVAC systems were examined based on 27 criteria, including technical, environmental, and economic criteria. The results of selecting the best HVAC system using SWARA and WASPAS showed Sensitivity analysis performed according to different lambda values. The (Water-source Heat Pumps) is preferred at the first rank in all cases and it was identified as the best alternative for industrial buildings. It has been determined that the choice of alternative is economically, technically and environmentally most logical.Item STRATEGIC ENERGY PRODUCTION PLANNING OF TURKEY USING MIXED INTEGER PROGRAMMING BASED ON ELECTRICITY DEMAND FORECASTING(2022-01-11) YÖRÜK, GÖKAY; BAÇ, Uğur; YERLİKAYA ÖZKURT, FatmaIn this thesis, energy planning problem for Turkey is considered in terms of strategic planning, energy policy, energy power capacity planning, technology selection, and environmental policies. In strategic electricity planning, a mixed integer mathematical programming model is proposed that considers alternative technologies such as fossil fuels, renewable energy, nuclear energy, etc. In research problem, a set of energy resources are considered simultaneously and in addition to cost minimization (investment costs, operation, and maintenance costs), different strategic level policies such as minimization of CO2 emissions, energy resource share restriction policies, and renewable energy promotion policies are also taken into account. To forecast electricity demand during the planning horizon a set of forecasting techniques such as regression methods, exponential smoothing, Winter’s method, Autoregressive Integrated Moving Average (ARIMA) methods are used, and best method is selected using different error measures. As an application of the model, Turkey Strategic Electricity Planning Problem is studied, and it is solved for two different (2021-2030 and 2021-2040) planning intervals. The results show that use of renewable energy generation options namely solar, wind and hydroelectric alternatives will increase significantly while use of fossil fuels in energy generation will decrease sharply. In conclusion, this research recommends increasing renewable energy investments gradually and replace fossil fuel alternatives in the long run. This change will not only lower investment, operation, and maintenance costs both also produces lower emissions.