Araştırma Çıktıları / Research Outcomes
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Publication Düzensiz Operasyon Yönetimi için Entegre Havayolu Çizelgeleme Yaklaşımı Karışık Tam Sayılı Doğrusal Olmayan Programlama ve Tavlama Benzetimi(2024-01-01) S. Erol; Güner, Gürkan GüvenPublication Optimization Approaches for the LQR Control Systems A Comprehensive Literature Review on Heuristic and Meta-Heuristic Methods(2024-01-01) Güner, Gürkan GüvenPublication Publication Airport Gate Assignment Optimization: A Comprehensive Literature Review(2024-01-01) Güner, Gürkan GüvenIn aviation operations and airline management, the Airport Gate Assignment (AGA) is very critical problem like flight, aircraft or crew scheduling problems. The AGA problems are well studied in operations research field. In gate assignment problem, it is significant to determine the capacity of gates based on flight schedules and minimize the passenger-walking distances to gates. This study proposes a comprehensive literature review of the different methodologies and solutions suggested for the AGA problem. AGA involves the efficient assignment of arriving and departing flights to available gates while considering various constraints such as aircraft compatibility, passenger convenience, and operational costs. This review investigates insights from a wide spectrum of works encompassing mathematical optimization models, heuristic approaches, machine learning algorithms, and hybrid techniques utilized to tackle AGA complexities. It is aimed that the proposed comprehensive literature review will be a beneficial guide for the decision makers working on airline management problems.Publication Optimizing Vehicle Routing: A Comprehensive Literature Review of Mixed Integer Linear Programming Solutions(2024-01-01) Güner, Gürkan GüvenCombinatorial optimization is a sub-branch of mathematical optimization. In logistics and transportation, especially, the Vehicle Routing Problem (VRP) becomes prominent as an example for the combinatorial optimization problems with different implementations. Minimizing operational cost and satisfying resource utilization are very critical objectives for companies and decision makers in this field. It is proved in the literature that the Mixed Integer Linear Programming (MINLP) is very useful tool to solve VRPs efficiently due to its capability to handle complicated decision variables and constraints [1-3]. This study shows an extensive literature review that focuses on the implementation of MILP to the VRP. The study investigates the historical development of MILP-based approaches, underlying the evolution of mathematical formulations, solution ethodologies, and computational methods. It also examines the main outcomes and contributions from existing research studies in the area, categorizing them depending on problem types, constraints, and solution algorithms. In addition to that, the review searches the theoretical underpinnings of MILP in solving VRPs, discussing the benefits and limitations of this approach when compared to other optimization methods. It underlines the operational function of MILP in ensuring optimal or near-optimal solutions, allowing productive fleet management, and addressing real-world constraints such as time windows, capacity constraints, and heterogeneous fleets. Consequently, this literature review investigates the collective knowledge in the study area, providing precious insights into the state-of-the-art methods and challenges. It is aimed that the proposed study will be very useful guide for the decision makers working in the field.