Browsing by Author "Kaya, B."

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Citation - WoS: 52
Citation - Scopus: 55
Determinants of Felt Stigma in Epilepsy
(Academic Press Inc Elsevier Science, 2016) Aydemir, N.; Kaya, B.; Yildiz, G.; Oztura, I.; Baklan, B.
The present study aimed to determine the level of felt stigma, overprotection, concealment, and concerns related to epilepsy in different life domains by using culturally-specific scales for Turkish individuals with epilepsy. Also, it aimed to detect relations among the study variables and to determine the variables which predict felt stigma. For this purpose, felt stigma scale, overprotection scale, concealment of epilepsy scale, and concerns of epilepsy scale were administered to two hundred adult persons with epilepsy (PWE). The results showed that almost half of the participants reported felt stigma, overprotection, concealment of epilepsy, concerns related to future occupation, and concerns related to social life. Almost all the study variables show correlations with each other. Concealment of epilepsy, concerns related to social life, and concerns related to future occupation were found as the predictors of felt stigma. (C) 2016 Elsevier Inc. All rights reserved.
Citation - Scopus: 1
Inventory Management Optimization for Intermittent Demand
(Springer Science and Business Media Deutschland GmbH, 2024) Kaya, B.; Karabağ, O.; Çekiç, F.R.; Torun, B.C.; Başay, A.Ö.; Işıklı, Z.E.; Çakır, Ç.
This report discusses inventory management and demand forecasting issues faced by a well-known electrical equipment company. The company requires a precise inventory management system with a wide range of products to handle its high production volume. The company has trouble forecasting intermittent demand patterns due to a lack of appropriate analytical methodologies. To overcome these challenges, this study developed an inventory management system that integrates Newsvendor and Order Up Policy, whose analytical methods are optimized with the inventory management policy. A comprehensive review of the existing literature on inventory management is undertaken to gather valuable information and best practices. This study has been developed based on the research conducted by Syntetos (2009). A mathematical model has been included to maximize order levels, considering lead time and costs. In the model, SBA and Croston methods are used for intermittent demand forecasting. This model includes various parameters and assumptions that allow calculating expected total costs and determining the optimum order level that efficiently meets customer demand while minimizing expenses. The methods employed optimize inventory management, minimize inventory cost, and enhance customer satisfaction. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Maintenance Decision and Spare Part Selection for Multi-Component System
(Springer Science and Business Media Deutschland GmbH, 2024) Kaya, B.; Karabağ, O.; Fadıloğlu, M.M.
Due to the advancement of technology over time, higher technology machines are being used in the production and service sectors. Companies suffer great financial losses if these machines stop working due to a breakdown. To avoid these losses, maintenance has become increasingly important for companies over time. Condition based maintenance aims to intervene in a system as close to the point of failure as possible using information received from the system. Sensors are used to obtain information about the wear and tear of the machine. However, since sensors are costly, they are not installed on every machine component but rather on the system. While this reduces costs, it also means that we now obtain partial information from the system rather than from each component. In these systems, we need to make two types of decisions. The first decision is when to intervene in the system. The second decision is how many spare parts to carry with us once we decide to intervene. We simulated several different experiments for a periodic system composed of identical components and found optimal policies based on the two decisions we made. Our managerial insights indicate that as the number of components in the machine increases, the importance of selecting spare parts for the system also increases, leading to a tendency to maintain the system as late as possible before the system fails. Moreover, in situations where the penalty for maintenance is lower after a failure occurs, in optimal policy, we maintain later and carry more spare parts during our interventions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Performance Comparison Of Large Language Models İn Disaster Related Two-stage Classification Of Tweets Written İn Turkish;
(Institute of Electrical and Electronics Engineers Inc., 2024) Özcan, E.; Beşer, B.; Avcı, E.; Kaya, B.; Topallı, A.K.
Natural disasters are very frequent in Turkiye, therefore it is quite vital to tackle the problems aroused after these disasters. This study proposes a system to reduce the losses caused by the natural disasters and provides a comparison method for the efficient selection of the system components. A database is formed from the tweet samples posted in the aftermath of the previous natural disasters and these tweets are classified in two stages using prompt engineering and large language models. In the first stage, the classification is done based on disaster type such as “earthquake”, “fire” or “flood”, then the tweets in these disaster types are classified for needs such as “search and rescue”, “equipment and food” in the second stage. In order to find the best model for aforementioned classifications, ChatGPT-3.5, fine-tuned ChatGPT-3.5 and ChatGPT-4 are selected and tested. Fine-tuned ChatGPT-3.5 with enhanced prompting is found to have the highest performance with 98.4% average success score for disaster classification. The success rate of the fine-tuned model for classification of needs is calculated as 95.6% in average. This study is expected not only to contribute to the Turkish language processing research area but also to support rescue organisations as well. © 2024 IEEE.
The Relations Among Stigma, Overprotection, Disclosure and Concerns Related With Epilepsy
(Wiley-Blackwell, 2014) Aydemir, N.; Kaya, B.; Yildiz, G.; Baklan, B.; Oztura, I
[Abstract Not Available]