Mühendislik Fakültesi
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Integrated Fuzzy Multi-Criteria Decision Making Application within An Environmental Evaluation Framework: A Case Study in Türkiye
(2024)The selection process of eligible suppliers in supply chains entails numerous challenges under rapidly evolving conditions. Environmental considerations in public discourse, competitive market structures, and emerging ... -
Role of Internet of Things in Supply Chain Management
(Serüven Publishing, 2022)The emergence of supply chain concepts has been observed since the 1980s (Giordano-Spring, S. and Works, S., 2006); the emphasis was on the abolition of old concepts centered on constrained logistics such as transportation ... -
Route optimization for the maintenance of wind power plants by using metaheuristic algorithms
(Livre de Lyon, 2022)Energy plays a crucial role in economic and social development (Ur Rehman et al., 2019). Countries depend on energy from various sources for their economic power (Kaplan and San, 2011). In addition, increasing production ... -
Applicaitons of ultralight overhead conveyor systems in the logistics sector
(Serüven Publishing, 2023)In today’s fast-paced and ever-evolving logistics sector, the efficient movement of goods plays a pivotal role in ensuring timely and cost-effective delivery. Traditional material handling methods such as manual ... -
Warehouse layout optimization using association rules
(2022)The enormous growth in the online retailing has enhanced the significance of logistic processes and warehouse technology. Therefore, this study proposes a strategy for the preparation of an optimal warehouse layout, ... -
Türkiye’de lojistik sektöründe faaliyet gösteren işletmelerin dijital trendlerinin incelenmesi
(2020)Endüstri 4.0’la beraber her sektörde yeni uygulamalar geliştirilmeye başlanmıştır. Bu uygulama alanlarından bazıları; tedarik zinciri geliştirmeleri, rota optimizasyonları, Büyük Veri kullanımı, yapay zeka geliştirilmesi, ... -
The Impacts of the Applications of Artificial Intelligence in Maritime Logistics
(2022)This study aims to identify current approaches in the usage of Artificial Intelligence (AI) methods for solving shipping problems. Recent advances in AI are being examined, and the way it is adapted to maritime logistics ... -
The Effects of the Applications of Blockchain Technology on the Logistics sector
(2022)Logistics is a combination of businesses involving various activities and processes which generate value by goods and services. Maintaining track of all transactions is a crucial task in logistics. Logistics 4.0 enables ... -
Prediction of Cumulative Installed Power of Geothermal Power Plants in Turkey by Using Artificial Neural Network and Bidirectional Long Short-Term Memory
(2022)Turkey has a great potential for renewable energies. The number of power plants (PP) producing electricity from renewable energy sources and accordingly the installed power has risen over the years. As of the end of ... -
Impacts of sustainability on supply Chain management
(2022)Nowadays, environmental strategies are critical for improving organizational operations. Therefore, sustainable supply chain management plays a key role in supporting organizations improve their overall performance. This ... -
Estimation of wind speed probability distribution parameters by using four different metaheuristic algorithms
(2022)The inclusion of energy produced from renewable energy sources (RES) such as solar and wind energy into existing energy systems is important to reduce carbon emissions, air pollution and climate change, and to ensure ... -
Predicting world electricity generation by sources using different machine learning algorithms
(2024)Electrical energy plays a crucial role in both social and economic growth. It is thought to be an essential part of industrial manufacturing. In addition to its contribution to industry, electrical energy is essential for ... -
Estimation of tree height with machine learning techniques in coppice-originated pure sessile oak (Quercus petraea (Matt.) Liebl.) stands
(2023)In this study, in order to estimate total tree height, three different model structures with differentinput variables were produced through the use of 872 tree data points obtained from differentdevelopment stages and sites ... -
Economic Order Quantity: A State-of-the-Art in the Era of Uncertain Supply Chains
(2024): Inventory management is crucial for companies to minimize unnecessary costs associated with overstocking or understocking items. Utilizing the economic order quantity (EOQ) to minimize total costs is a key decision in ... -
Installed solar power prediction for Turkey using artificial neural network and bidirectional long short - term memory
(2020)Sürdürülebilir bir kalkınma için yenilenebilir enerji kaynakları önemli bir rol oynamakta ve yenilenebilir enerji kaynaklı enerji üretiminin payı tüm dünyada hızla artmaktadır. Ülkemiz, bulunduğu coğrafi ... -
Yapay Zeka ve Makine Öğrenmesi Tekniklerinin Lojistik Sektöründe Kullanımı
(2021)The logistics sector in Turkey and the world is growing and the sector's potential is better understood over time. It is known that the logistics sector is very open to development and has to keep up with the innovations ... -
Tedarik Zinciri Kademesinin ISO 9001 Kalite Yönetim Sertifikasyonu ve Finansal Performans İlişkisine Etkisi: Türkiye Örneği
(2021)ISO 9001 Kalite Yönetim Sistemi belgesine sahip olmak günümüzde firmalar için önem arz etmektedir. Firmaların bütün kademelerinde olduğu gibi ISO 9001 belgesine sahip olmak tedarik zinciri kademesinde de çeşitli getiriler ... -
Prediction of Turkey's electricity generation by sources using artifical neural network and bidirectional long short - term memory
(2021)It is an indisputable fact that energy plays a big role in the development of countries. Electrical energy has a great share in the development. Electricity is a secondary energy source, i.e. it is obtained by transforming ... -
Standortplanung einer windkraftanlage : Eine fallanalyse aus der Türkei
(2024)Der Konsum hat aufgrund des Anstiegs der Weltbevölkerung und des Wirtschaftswachstums rapide zugenommen. Der Anstieg des Verbrauchs hat zu einem Anstieg des Energiebedarfs geführt. Man geht davon aus, dass diese Situation ... -
Neural Network Predictive Models for Alkali-Activated Concrete Carbon Emission Using Metaheuristic Optimization Algorithms
(2024)Due to environmental impacts and the need for energy efficiency, the cement industry aims to make more durable and sustainable materials with less energy requirements without compromising mechanical properties based on UN ...