Person: Utku, Durdu Hakan
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Utku
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Durdu Hakan
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Durdu UTKU
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Publication Improving Bottlenecks: An Automotive Company Application(European Journal of Science and Technology, 2022-04-16) Gizem SUBAŞI; Utku, Durdu Hakan; Kasimoğlu, FatihPublication AN ERGONOMIC CLASSROOM DESIGN APPLICATION AT A UNIVERSITY IN TURKEY(Stratejik Arastirmalar ve Verimlilik Genel Mudurlugu Verimlilik Dergisi, 2021-09-29) Durdu Hakan UTKU; Gürkan Güven GÜNER; Göktuğ ALTUĞ; Anıl GÜNEY; Utku, Durdu Hakan; Güner, Gürkan GüvenPurpose: Ergonomics is a branch of science that uses scientific methods to improve the workplaces and environments to maximize the comfort and safety of humans. In this study, we suggest new classroom furniture dimensions defining the problems about environmental factors in the classrooms such as noise, light, air conditioning, or temperature by considering the real data obtained from a university. Methodology: A questionnaire is prepared to determine the most complained problems by the students about the classroom furniture and environment. A total of 219 students participate in the questionnaire at a university in Ankara, Turkey. The dissatisfaction scores are evaluated for each question to define the most complained problems. Findings: The results show that most of the students are not satisfied with the use of tablet-armed chairs due to different reasons. To solve the problems, the anthropometric measurements of the students are evaluated. Based on these measurements, new furniture dimensions are suggested and compared with the existing ones. Originality: The ergonomic classroom design in this study is an original work that is designed according to the data obtained from the university in concern. It is aimed that the implemented methodology and the comprehensive literature review for the ergonomic classroom design in this study can be a source of inspiration for the educational institutions.Publication An Inventory Optimization Model for a Textile Manufacturing Company(Ankara Yildirim Beyazit Universitesi, 2022-12-31) Adem PINAR; Utku, Durdu Hakan; Kasimoğlu, FatihInventory management is a crucial issue in most businesses from factories in industry to small and large organizations in the production or service sector. A company should determine an optimum inventory level between excessive inventory that takes up physical space, costs much, and lack of inventory which disrupts the supply chain causing unavailability of the product that makes customers change their idea and buy from another supplier. In this study, we first classify the items that the company manufactures by using ABC analysis and develop a mathematical model to minimize total cost to enable a better inventory management. We use ABC analysis method to evaluate products in a textile company in terms of importance and to track these products according to their priorities. Accordingly, we propose a mixed integer programming model to determine production quantities and inventory levels with minimum cost. The results shows that the company in concern can improve its total production and inventory costs by 3.8 percent.Publication An Application: A Model with Sequence Dependent Setup Times for Parallel Machines for the Die House Station in a White Goods Manufacturing Company(Osmaniye Korkut Ata Universitesi, 2021-03-02) Selin KASIMOĞLU; Gülce DEMİR; Berrak Pınar YAZ; Durdu Hakan UTKU; Utku, Durdu HakanExcessive buffer inventory may disrupt production and constitute one of the main problems. One of the ways of coping with the inventory problems in the mass production lines is to achieve and implement a detailed production schedule. In this study, a company with a mass production line in the white goods sector is in consideration. A mixed-integer programming model with sequence-dependent setup times has been developed to solve the excessive work in process problems for the dye house station in a white goods sector company. The developed model has been applied to the company to test the model by using real data and the problem has been solved by using the General Algebraic Modeling System (GAMS) CPLEX 24.1 solver.Publication An Application of an (R, S) Inventory Management Model for a Construction Materials Manufacturing Company by Using Simulation(Bitlis Eren Universitesi Fen Bilimleri Dergisi, 2023-06-27) Durdu Hakan UTKU; Utku, Durdu HakanGlobalization has motivated companies to develop competitive strategies in today's business environment. In this context, they lead them to review their costs. When the cost items are analyzed, the most critical point that will give an advantage to companies in terms of cost is that companies healthily manage their inventory. Inventory management is of vital importance as the companies have a significant percentage in terms of cost and ensure that the customer demands are met in a timely and sufficient manner. This study focuses on the problems of the company's inventory control decisions that ensure balanced and minimum costs through effective inventory management. In this study, one-year data on demand, consumption, and inventory of a company that uses traditional methods including semi-finished products are considered. Since the demand is not known precisely and it is probabilistic, we apply the (R, S) inventory control model. We use simulation as a stochastic methodology to determine the inventory level of the construction company under consideration. As a result of the study, after comparing the actual data in the current system with the developed model we apply, it is observed that the cost reduction and its use provided additional benefits to the company.Publication The hazardous waste location and routing problem: an application in Marmara Region in Turkey(Springer Science and Business Media LLC, 2020-01-30) Durdu Hakan Utku; Serpil Erol; Utku, Durdu HakanPublication The Evaluation and Improvement of the Production Processes of an Automotive Industry Company via Simulation and Optimization(MDPI AG, 2023-01-27) Durdu Hakan Utku; Utku, Durdu HakanProduction delays are significant problems for the loss of goodwill of the customers and the loss of profits associated with them. The delays may accrue as a result of insufficient resource planning and poorly designed unsatisfactory procedures. In this study, a new mathematical model is proposed to optimize the production processes by minimizing production delays, and a simulation model is developed to test the alternative facility designs. The purpose is to increase customer satisfaction by ensuring that the products are delivered timely and preventing lost sales in an automotive company that manufactures garbage collectors by using real data. The mixed-integer programming problem related to the minimization of production delays is solved by the GAMS CPLEX 24.1.3 software. In this way, the total delay in the production area is minimized by the mathematical model to prevent labor and time loss. Accordingly, the alternative designs are investigated for the improvement of the production processes by using discrete system simulation. A system analysis is performed to determine the bottlenecks in the production processes by developing a simulation model via the ARENA simulation software. With the proposed facility layout alternatives, the delays are eliminated, the total production time is reduced, and an increase in production efficiency is observed.Publication An Application: A Multi-Mode Natural Gas and Liquefied Natural Gas Supply Chain Management Problem(Elsevier BV, 2022-08-17) Durdu Hakan UTKU; Utku, Durdu HakanNatural Gas (NG) and Liquefied Natural Gas (LNG) are environmentally friendly and price-competitive energy resources that can be used in every part of the world. In this study, we develop a mixed-integer programming model for the NG and LNG supply chain that includes the location of liquefaction plants, regasification units, storage facilities, and distribution hubs together with the routing of the vehicles for inland distribution of LNG and cryogenic vessels for sea transportation. Unlike other models in the literature, the location of the NG and LNG facilities and routing of vehicles of different modes are optimized by considering the minimization of costs by using the 𝜺 – Constraint method, and different transportation modes, like sea, road, and pipeline, are used together for better effectiveness and cost reduction. The developed model is applied to Turkey to check whether the model is viable for real-world systemsPublication A mathematical model on liquefied natural gas supply chain with uncertain demand(Springer Science and Business Media LLC, 2020-08-11) Durdu Hakan Utku; Betül Soyöz; Utku, Durdu HakanPublication The hazardous waste location and routing problem: an application in Marmara Region in Turkey(Springer Science and Business Media LLC, 2020-01-30) Durdu Hakan Utku; Serpil Erol; Utku, Durdu Hakan