Altınbaş Üniversitesi Kurumsal Akademik Arşivi
DSpace@Altınbaş, Altınbaş Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Optimization of inventory replenishment under assymmetric stock-out and inventory holding costs
(University of Cincinnati, 2025) Yiğit, Fatih; Basilio, Marcio Pereira
Perishable products are an essential part of commerce. Shelf-life characteristics are usually not modeled in traditional inventory models. This study proposes an inventory replenishment model for perishable products with an asymmetric cost structure for holding and stock-out costs. The modeling phase involves the shelf-life characteristics of products. Shelf life is essential due to sustainability concerns, costs, and service levels due to perished products. In contrast to classical safety stock models, where stock-out costs increase linearly, the proposed model utilizes incrementally increased fixed costs for holding costs in a conflicting cost structure. It incorporates the shelf-life of the products, calculates the probability of perishing, and formulates accurate waste and total costs using an asymmetrical cost structure. The model is applied to a real dataset to assess the performance and compare it with the traditional approach. The performance of the proposed model is better, with a total cost reduction of 45.33%. Additionally, the model demonstrated a 17.21% increase in service level. The sensitivity analysis further underlined the robustness of the proposed model across various demand scenarios and shelf-life conditions. The main research gap addressed by this study is the lack of consideration for shelf-life characteristics and asymmetric cost structures in traditional inventory models. By integrating these factors, this research provides a more accurate and cost-effective approach to inventory management for perishable products, enhancing sustainability and service levels. This study's findings can help businesses optimize inventory strategies, reduce waste, and improve operational efficiency.
Reinforcement Neural Network-Based Grid-Integrated PV Control and Battery Management System
(Multidisciplinary Digital Publishing Institute (MDPI), 2025) Thajeel, Salah Mahdi; Atilla, Doğu Çağdaş
A reinforcement neural network-based grid-integrated photovoltaic (PV) system with a battery management system (BMS) was developed to enhance the efficiency and reliability of renewable energy systems. In such a setup, the PV system generates electricity, which can be used immediately, stored in batteries, or fed into the grid. The challenge lies in dynamically optimizing the power flow between these components to minimize energy costs, maximize the use of renewable energy, and maintain grid stability. Reinforcement learning (RL) combined with NNs offers a powerful solution by enabling the system to learn and adapt its energy management strategy in real time. By using the proposed techniques, the convergence time was decreased with lower complexity compared with existing approaches. The RL agent interacts with the environment (i.e., the grid, PV system, and battery), continuously improving its decisions regarding when to store energy, draw from the battery, and supply power to the grid. This intelligent control approach ensures optimal performance, contributing to a more sustainable and resilient energy system.
Numerical Thermal and Structural Analysis for Enhanced Durability in Petroleum Pipelines Using Composite Coatings
(Penerbit Akademia Baru, 2025) Al-Safi, Saif; Alaiwi, Yaser; Mulki, Hasan; Jundi, Ahmad; Mahmoud, Saleh; Al-Hasan, Ahmed
This research investigates the effectiveness of composite coatings in preventing corrosion in petroleum pipelines, focusing on computational methods for thermal and structural analysis. A 3-meter section of a Basra, Iraq pipeline was selected for evaluation. The study begins by establishing a baseline with an uncoated pipeline, followed by applying composite coatings both internally and externally. Finite Element Analysis (FEA) is used to assess structural integrity under high pressure and to perform a detailed numerical heat transfer analysis over a 15-year operational period. The thermal analysis evaluates the temperature distribution and thermal stresses that contribute to coating degradation and pipeline failure. By integrating Computer-Aided Design (CAD) and Computer-Aided Engineering (CAE), this study demonstrates the critical role of advanced computational tools in modeling heat transfer phenomena and enhancing pipeline safety and durability. The findings provide actionable insights for optimizing coating technologies with a focus on thermal performance in real-world applications.
HawkFish Optimization Algorithm: A Gender-Bending Approach for Solving Complex Optimization Problems
(Multidisciplinary Digital Publishing Institute (MDPI), 2025) Alkharsan, Ali; Ata, Oğuz
Inspired by the gender transition behavior seen in hawkfish, this paper introduces the HawkFish optimization algorithm, a nature-inspired optimization technique modeled on the unique gender transition behavior of hawkfish. By leveraging this biological phenomenon, the proposed method addresses optimization problems through dual fitness functions, combining an original and inverse fitness function to drive search space exploration while avoiding local minima. The algorithm’s performance is rigorously evaluated against benchmark problems, including the CEC/GECCO 2019 suite, and applied to real-world engineering challenges like welded beam and tension/compression spring design. The proposed method consistently outperforms existing algorithms in terms of convergence rate, accuracy, and solution quality. The results underscore the algorithm’s efficiency in exploring unknown search spaces and solving complex optimization tasks, making it a promising tool for various domains requiring high precision and optimization efficiency.
An analysis of the AKP’s bureaucratic tutelage discourse in Turkey
(Routledge, 2025) Yılmaz Uçar, Aslı
The Justice and Development Party (AKP) governments have been using a bureaucratic tutelage discourse. The literature on populism acknowledges the instrumental use of anti-bureaucratic discourse to mobilize masses. However, there is no systematic study on the ideological functions of the populist discourse against bureaucracy to sustain/transform the existing structures and power relations. The analysis of the bureaucratic tutelage discourse of AKP governments between 2002 and 2023 reveals that the bureaucratic tutelage discourse reproduces an antagonistic relation between politics and bureaucracy, and builds a common sense of bureaucracy that should be fully obedient to politics.
