DSpace@ATÜ (Adana Alparslan Türkeş Bilim ve Teknoloji Universiti)
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An ERP Based Industry 4.0 Maturity Model Proposal
No full textThis study proposes an Enterprise Resource Planning (ERP) based Industry 4.0 maturity. The model aims to make the vast array of Industry 4.0 technologies comprehensible and actionable for Small and Medium Sized Enterprises (SMEs) by mapping them to specific ERP functions, thus enabling a more agile and tailored approach to digitalization. A comprehensive literature review revealed limited research on this integrated approach and highlighted the need for a model that supports quick assessments and adaptable implementation strategies. A sample application has been conducted in a manufacturing company and it has been seen that the model leverages ERP's modularity to address company-specific needs and includes rapid evaluation features that provides to the dynamic requirements of SMEs, enhancing their competitive edge in the digital landscape. Additionally, the findings serve as a valuable guide for ERP designers/vendors, providing insights into the integration of Industry 4.0 technologies that can enhance ERP system capabilities
Bazı meyve ve sebze ürünlerinin işlenmesinin ekserji ve yaşam döngüsü analizleri kullanılarak değerlendirilmesi
No full textFen Bilimleri Enstitüsü, Gıda Mühendisliği Ana Bilim Dalı, Gıda Mühendisliği Bilim DalıGıda işleme, yüksek oranda enerji tüketimine dayanan ve çevresel etkileri sıklıkla doğru şekilde tanımlanamayan veya ölçülemeyen bir süreçtir. Gıda sektörü, özellikle de gıda işleme, kaynaklara ve enerjiye olan önemli bağımlılığı ile bilinmektedir ve bu da kayda değer çevresel sonuçlara yol açmaktadır. Öte yandan, gıda insanoğlunun en hayati ihtiyaçlarından birisidir ve gıdaların üretimi sırasında sürdürülebilirlik yaklaşımı günümüzde oldukça önem kazanmıştır. Ekserji analizini yaşam döngüsü analizi (YDA) ile birleştiren yaklaşım, gıda üretim süreçlerindeki verimsizlikleri belirlemek ve ölçmek ve daha sürdürülebilir üretim uygulamalarına yol gösterici iyileştirmeler önermek, gıda işleme operasyonlarının çevresel etkileri ve enerji verimliliği hakkında daha ayrıntılı bir anlayış sağlayabilecek görece yeni, etkili ve uygulanabilirdir. Bu tez çalışmasında, meyve ve sebze işleme sektöründe belirli ürünlerin üretim süreçlerinin tarladan sofraya ve beşikten kapıya yaklaşımıyla kümülatif enerji, ekserji ve YDA kullanılarak, kapsamlı bir değerlendirme yapılmıştır. Bu hedeflere ulaşmak için, tarım, işleme, paketleme ve nakliye süreçleri gibi üretimin farklı aşamalarının geniş ölçekte analizi gerçekleştirilmiştir. Enerji, ekserji, karbondioksit (CO?) emisyonları ve YDA değerleri; enerji, ekserji tüketimi ve çevresel etki için kritik noktaları belirlemek amacıyla, üretimin her aşaması için temel durum baz alınarak hesaplanmıştır. Çalışmada, küresel meyve ve sebze sektörünün temsilcileri olarak en yaygın tüketilen iki hammadde olan domates ve tatlı kırmızı biber (TKB) incelenmiştir. Çalışma, perakende domates, domates suyu, domates salçası ve perakende TKB, TKB salçası, közlenmiş TKB ve kurutulmuş TKB gibi tatlı kırmızı biber ürünleri dahil olmak üzere, işlenmiş domates ve tatlı kırmızı biber ürünlerini incelemiştir. Hesaplanan tüm parametreler arasında, tarla üretimi ve paketleme-nakliye aşamaları, üretim aşamaları arasında birincil katkıda bulunanlar olarak ortaya çıkmıştır. Girdi olarak dizel tüketimi, elektrik, doğal gaz, gübre kullanımı, çelik ve cam ambalaj; ekipman olarak buharlaştırma, sterilizasyon ve aseptik dolum, çalışmada incelenen tüm bileşenler arasında değerlendirilen tüm göstergelerin başlıca katkı sağlayıcıları olarak belirlenmiştir. Abiyotik (fosil) tükenme potansiyeli, küresel ısınma potansiyeli, tatlı su sucul ekotoksisitesi, ve insan toksisitesi potansiyellerinin yaşam döngüsü etki kategorileri arasında en yüksek çevresel etkilere sahip olduğu belirlenmiştir. Temel senaryoda (TS), kümülatif enerji tüketimi (CEnC), kümülatif ekserji tüketimi (CExC) ve kümülatif karbondioksit tüketimi (CCO?C) ve YDA için en yüksek değerlerin elde edildiği gözlemlenmiştir. Buna karşılık, biyodizel senaryosu (BS) en düşük değerleri gösterirken, bunu hassas uygulamalı tarım senaryosu (HUT) takip etmektedir. BS uygulaması, perakende domates üretiminde kümülatif enerji değerinin 3320.12 MJ/ton'dan 1380.40 MJ/ton'a düşmesini sağlamıştır. Domates tarımında HUT uygulaması dikkate alındığında, CEnC değerinde %14,7'lik bir azalma gerçekleşmiştir. Çalışmada bir metrik ton taze domates üretiminden kaynaklanan küresel ısınma potansiyeli değeri 120 kg CO? eşdeğeridir. Öte yandan, perakende TKB'nin değerlendirilen tüm ölçümlerine katkıda bulunan birincil faktör, sırasıyla %87, %71 ve %32 CEnC, CExC ve CCO?C değerlerine sahip gübrelerin kullanılmasıdır. Bir ton taze TKB, sırasıyla 2742.20 MJ/ton ve 1387.91 MJ/ton CEnC ve CExC değerleri ile 39.82 kg/ton CO? emisyonuna neden olmaktadır . Fabrika işlemlerinde ve taşımacılıkta biyodizel kullanımının artırılması önerilmektedir. Çeşitli tarım yöntemleri ve ambalaj malzemelerinin çevre üzerindeki olumsuz etkileri konusunda tüketici bilincinin artırılması, sürdürülebilir şekilde üretilen ürünler için pazarı teşvik edebilir. Bu bulguların sonuçları, enerji verimliliğini artırmak ve çevresel etkilerini azaltmak isteyen endüstri paydaşları için önemli sonuçlar sunmaktadır. Enerji ve yaşam döngüsü analizlerinin gıda üretim süreçlerindeki verimsizlikleri tespit etmek ve azaltmak için pratikte nasıl kullanılabileceğini gösteren bu çalışma, sürdürülebilir gıda üretimi alanını desteklemektedir. Gelecekteki araştırmalar, önerilen iyileştirmelerin uygulanmasına ve bunların üretim etkinliği ve ekolojik etkileri üzerindeki kalıcı sonuçlarına odaklanmalıdır. Süreç sürdürülebilirliğini daha da iyileştirmek için, gelecekteki çalışmalar bu teknikleri daha geniş bir ürün yelpazesine uygulamalı ve en yeni teknolojileri araştırmalıdır.Food processing is a highly energy-consuming procedure that frequently has environmental effects that cannot properly identified or measured. The food business, particularly food processing, is widely recognized for its significant dependency on resources and energy, resulting in notable environmental consequences. On the other hand, food is an essential necessity for humans, and the adoption of sustainable practices in food production has gained significant importance in contemporary times. Identifying and quantifying the inefficiencies in food production processes and proposing improvements that can lead to more sustainable production practices by combining exergy analysis with life cycle analysis (LCA), which can provide a more detailed understanding of the environmental impacts and energy efficiency of food processing operations is a relatively new, effective and feasible approach. This thesis presents a comprehensive assessment of the production processes of selected products in the fruit and vegetable processing sector using cumulative energy, exergy, carbon dioxide (CO?) emissions, and LCA with a farm to fork and cradle to gate approach. In order to achieve these goals, a thorough analysis of the different stages of production, such as the farming, processing, and packaging and transportation processes, is carried out. Energy, exergy, CO? emissions, and LCA metrics have been calculated as a base case, for each stage of production in order to identify hotspots for energy, exergy consumption, and environmental impact. The two most widely consumed raw materials, tomato and sweet red pepper (SRP), were selected as representatives of the global fruit and vegetable sector. The study examined the processed tomato products, including retail tomatoes, tomato juice, tomato paste, and sweet red pepper products such as retail SRP, SRP paste, roasted SRP, and dried SRP. Of all the calculated parameters, the farming and packaging-transportation steps emerged as the primary contributors among the production steps. Diesel consumption, electricity, natural gas, fertilizer use, steel, and glass packaging as inputs; evaporation, sterilization, and aseptic filling as equipment have been determined to be the major contributors of all evaluated metrics among all components examined in the study. Abiotic (fossil) depletion (AFDP), global warming potential, fresh water aquatic ecotoxicity, and human toxicity potentials were determined to have the highest environmental implications among the life cycle impact categories. It is observed that the base case exhibits the highest values for cumulative energy consumption (CEnC), cumulative exergy consumption (CExC), and cumulative carbon dioxide emission (CCO?C) and LCA. Conversely, the biodiesel scenario (BD) demonstrates the lowest values, followed by the precision farming scenario (PF). The application of BD has resulted in a decrease in the cumulative energy value from 3320.12 MJ/ton to 1380.40 MJ/ton in retail tomato production. Considering the application of PF in tomato farming, there is a reduction of 14.7% in the CEnC value. Global warming potential required to produce one metric ton of fresh tomato in study is 120 kg CO?-eq. On the orher hand, the primary factor contributing to all evaluated metrics of retail SRP is the utilization of fertilizers possessing CEnC, CExC, and CCO?C values of 87%, 71%, and 32% respectively. One ton of fresh SRP results in the emission of 39.82 kg/ton of CO?, with CEnC and CExC values of 2742.20 MJ/ton and 1387.91 MJ/ton, respectively. It is recommended to increase the use of biodiesel in factory processing and transportation. Increasing consumer awareness of the adverse impacts that various farming methods and packaging materials have on the environment can stimulate the market for sustainably produced goods. The implications of these findings are significant for industry stakeholders who want to improve energy efficiency and lessen their environmental impact. By illustrating how energy and life cycle analyses can be used practically to identify and mitigate inefficiencies in food production processes, this study promote the field of sustainable food production. Subsequent investigations ought to concentrate on the execution of the suggested enhancements and their enduring consequences on production effectiveness and ecological implications. To further improve process sustainability, future studies should apply these techniques to a wider range of products and investigate cutting-edge technologies
The effect of different salinity ratios on bioactive compounds, volati le, quality parameters, and in vitro bioaccessibility in the cultivation of spirulina platensis and phaeodactylum tricornutum
No full textFen Bilimleri Enstitüsü, Gıda Mühendisliği Ana Bilim DalıBu çalışmada, farklı tuz stresi koşullarının Spirulina platensis ve Phaeodactylum tricornutum'un büyümesi, antioksidan aktivitesi, fenolik profili, aroma bileşikleri, biyoaktif özellikleri ve mikrobiyal yükü üzerindeki etkisi ilk kez araştırılmıştır. Çalışma kapsamında S. platensis kültürü için ‰20 (Kontrol), 25, 30 ve 35 ve P. tricornutum kültürü için ‰15, 25, 30 (Kontrol) ve 35 tuz konsantrasyonları araştırılmıştır. Antioksidan kapasite DPPH ve ABTS olmak üzere iki farklı yöntemle, aroma bileşikleri HS-SPME-GC/MS kullanılarak, organik asit ve şeker bileşimi HPLC-PDA-RID yöntemiyle değerlendirilmiştir. En yüksek antioksidan aktivite ve fenolik bileşik içerikleri kontrol olarak adlandırılan tuz konsantrasyonlarında saptanmıştır. S. platensis (‰20), P. tricornutum'a (‰30) kıyasla daha yüksek antioksidan aktivite sergilemiş ve bu aktivite artan tuz stresiyle azalmıştır. HPLC-DAD-ESI-MS/MS kullanarak, S. platensis ve P. tricornutum kültür örneklerinde sırasıyla 24 ve 20 fenolik bileşik tanımlanmış ve miktarları belirlenmiştir. S. platensis örneklerinde baskın fenolik bileşik kuersetin türevi iken, P. tricornutum örneklerinde dimetoksiflavon baskın olarak saptanmıştır. Çalışmada ayrıca amino asit profilleri kıyaslanmış ve glutamik asit (6,24-12,96 mg/100 g KA) ve alanin (3,67-13,65 mg/100 g KA) baskın amino asitler olarak belirlenmiştir. S. platensis ve P. tricornutum örneklerinde sırasıyla glikoz (192-2322 mg/100 g KA) ve sakkaroz (229-1099 mg/100 g KA) baskın şekerler olarak belirlenmiştir. S. platensis örneklerinde heptadekan (36941 µg/kg) ve P. tricornutum örneklerinde ise asetik asit (113 µg/kg) baskın aroma bileşikleri olarak saptanmıştır. Her iki türdeki aroma bileşiklerinin toplam miktarları azalan tuz konsantrasyonu ile artmıştır. Artan tuz konsantrasyonu ile amino asit, şeker ve organik asit miktarlarında önemli bir azalma tespit edilmiştir. Mikrobiyal sayım sonuçları incelendiğinde, S. platensis örneklerinde toplam aerobik mezofilik bakteri sayımı 300 ile 1,9 × 104 kob/g ve maya/küf sayımı >10 ile 104 kob/g arasında değişirken, P. tricornutum örneklerinde ise toplam aerobik mezofilik bakteri sayımı 300 ile 2.78 × 104 kob/g ve maya/küf sayımı ise 10 ila 1,35 × 104 kob/g arasında değişmiştir. Yapılan genel değerlendirmede , S. platensis ve P. tricornutum üretimi sırasında besin ortamına farklı oranlarda tuz eklenmesinin, büyüme sürecini, fenolik bileşikleri, antioksidan potansiyeli, aroma bileşiklerini, aminoasit kompozisyonunu, şeker içeriğini ve mikrobiyal yük değerlendirmesini ve in vitro biyoerişilebilirliğini etkilediği ve genel olarak kontrol olarak kodlanan örneklerin altındaki veya üzerindeki tuz konsantrasyonlarında kalite parametrelerinin olumsuz yönde etkilendiği saptanmıştır.In this study, the effect of different salt stress conditions on growth, important quality parameters, antioxidant activity, phenolic profile, aroma compounds, bioactive properties, and microbial load of Spirulina platensis and Phaeodactylum tricornutum was investigated for the first time. Salt concentrations of 20, 25, 30, and 35 ‰ for S. platensis culture and 15, 25, 30, and 35 ‰ for P. tricornutum culture were investigated. Antioxidant capacity was evaluated by two different methods, DPPH and ABTS, aroma compounds by HS-SPME-GC/MS, and organic acid and sugar composition by HPLC-PDA-RID. The highest antioxidant activity and phenolic compound contents were found in salt concentrations called control. S. platensis (20‰) exhibited higher antioxidant activity than P. tricornutum (30‰), which decreased with increasing salt stress. In S. platensis and P. tricornutum culture samples, 24 and 20 phenolic compounds were identified and quantified using HPLC-DAD-ESI-MS/MS, respectively. While the dominant phenolic compound in S. platensis samples was quercetin derivative, dimethoxyflavone was abundant in P. tricornutum samples. Amino acid profiles were also compared and glutamic acid (6.24-12.96 mg/100 g DW) and alanine (3.67-13.65 mg/100 g DW) were the dominant amino acids. The dominant sugars were glucose (192-2322 mg/100 g DW) and sucrose (229-1099 mg/100 g DW) in S. platensis and P. tricornutum samples, respectively. The most dominant flavor compound was heptadecane (36941 µg/kg) in S. platensis samples and acetic acid (113 µg/kg) in P. tricornutum samples. The total amounts of aroma compounds in both species increased with the decrease in salt concentration. A significant decrease in the amounts of amino acids, sugars, and organic acids was detected with increasing salt concentration. When microbial count results were analyzed, total aerobic mesophilic bacteria count ranged from 300 to 1.9 × 104 cfu/g and yeast/mold counts ranged from >10 to 104 cfu/g in S. platensis samples, while total aerobic mesophilic bacteria counts ranged from 300 to 2.78 × 104 cfu/g and yeast/mold counts ranged from 10 to 1.35 × 104 cfu/g in P. tricornutum samples. This study shows that the addition of different amounts of salt to the nutrient medium during the production of S. platensis and P. tricornutum can affect their growth, phenolic compounds, antioxidant capacity, aroma compounds, amino acid composition, sugar content, and microbial load assessment and in vitro bioaccessibility
How should leaders confront the "VUCA" outcomes? A comparison of authentic versus quantum leadership
No full textSince ancient times, humanity has applied and investigated leadership terms and their structure to advance civilizations by utilizing productivity, collaboration, innovation, and creativity on account of keeping themselves surviving in tough challenges and unpredicted events. These events can be exemplified by the Ice Age, Migration Period, World Wars, and COVID-19 pandemic to compare the size of the impact on humanity. The VUCA para¬digm is an acronym to express the volatility, uncertainty, complexity, and ambiguity aspects of the environment that affects humanity in different platforms such as business, organization, and social groups in daily life. In this regard, each human cluster requires leaders who have great attention of their followers and guide them to survive and obtain welfare during the consequences of challenging and unpredictable events of the VUCA paradigm. This study offers a detailed understanding of modern leadership elements such as authentic and quantum leadership that assist businesses and organizations during the severe effects of the VUCA paradigm by comparing each leadership style. © 2025 by Apple Academic Press, Inc. All rights reserved
Beyin tümörü sınıflandırması için hibrit transfer öğrenme modeli
No full textLisansüstü Eğitim Enstitüsü, Bilgisayar Mühendisliği Ana Bilim DalıBeyin tümörleri dünya çapında en yaygın ve ölümcül hastalıklardan biridir. Hastanın yaşam beklentisini uzatmak için beyin tümörlerini erken aşamada tespit etmek çok önemlidir. Ancak, beyin tümörlerini manuel olarak sınıflandırmak zor ve zaman alıcı bir iştir. Bu çalışmada beyin tümörlerini otomatik olarak sınıflandırmak için hibrit transfer öğrenme modeli önerilmektedir.Önerilen yaklaşımın dört adımı ön işleme ve veri artırma, derin özellik çıkarımlarının birleşimi, ince ayar ve sınıflandırmadır. Önerilen model, halka açık dört genel veri setinde doğrulanmıştır: Br35H, Nickparvar, Figshare ve Sartaj. Önerilen model tüm veri setlerinde en yüksek doğruluk değerlerine ulaştı: Br35H'de %99.66, Figshare'de %97.56, Nickparvar'da %97.08, ve Sartaj'da %93.74. Önerilen model, beyin tümörlerinin sınıflandırılmasında diğer modern modellere göre daha etkili bir performansa sahiptir.Brain tumors are one of the most common and fatal diseases globally. It is crucial to detect brain tumors at an early stage to increase the patient's life expectancy. Nonetheless, classifying brain tumors manually is a difficult and time-consuming task. A hybrid transfer learning model is suggested in this study to classify brain tumors automatically. The four steps of the suggested approach are preprocessing and data augmentation, fusion of deep feature extractions, fine-tuning, and classification. VGG16, ResNet50, and MobileNetV2 CNN pre-trained models are fused to increase the number of informative features and reduce overfitting. The suggested model is validated on four public available datasets: Br35H, Nickparvar, Figshare, and Sartaj. The proposed model achieved the highest accuracy values in all datasets: 99.66% on Br35H, 97.56% on Figshare, 97.08% on Nickparvar, and 93.74% on Sartaj. The suggested model is more effective than other cutting-edge models in classifying brain tumors
Amino acid and fatty acid profiles of perennial Baki™ bean
No full textTo realize the potential of sainfoins to contribute to sustainable agriculture and expand on demonstrated uses and benefits, de novo domestication is occurring to develop perennial Baki (TM) bean, the trade name used by The Land Institute for pulses (i.e., grain legumes) derived from sainfoins. The objective of this study was to characterize amino acid and fatty acid profiles of depodded seeds from commercial sainfoin (Onobrychis viciifolia) seed lots, and compare these results with data published in the Global Food Composition Database for Pulses. The fatty acid profile consisted primarily of polyunsaturated fatty acids (56.8%), compared to monounsaturated (29.0%) and saturated fatty acids (14.2%), and n-3 fatty acids (39.5%), compared to n-9 (28.4%) and n-6 (17.6%) fatty acids. The essential fatty acid linolenic acid (18,3 n-3) was the most abundant fatty acid (39.2%), followed by oleic acid (18,1 cis-9) (27.8%), and the essential fatty acid linoleic acid (18,2 n-6) (17.3%). The amino acid profile consisted primarily of the nonessential amino acids glutamic acid (18.3%), arginine (11.6%), and aspartic acid (10.8%), followed by the essential amino acids leucine (6.8%), and lysine (5.8%). Essential amino acid content met adult daily requirements for each amino acid. This indicates that sainfoin seeds may be a complete plant protein source. However, further research is necessary to better understand protein quality, defined by protein digestibility in addition to the amino acid profile. By demonstrating favorable fatty acid and amino acid profiles to human health, these results contribute to a growing body of evidence supporting the potential benefits of perennial Baki (TM) bean, a novel, perennial pulse derived from sainfoins.Perennial Agriculture Project; Land InstituteThe author(s) declare financial support was received for the research, authorship, and/or publication of this article. This project received funding from The Perennial Agriculture Project, a joint initiative of the Malone Family Foundation and The Land Institute
Phenomenological Insights into Entrepreneurial Failure Cases in Türkiye
No full textThe concept of entrepreneurial failure holds global significance, providing valuable insights into entrepreneurship’s multifaceted challenges and consequences. This issue is similarly essential for Türkiye, whose self-employment rate is falling rapidly. This study explores the micro-level impact of entrepreneurial failure on entrepreneurs, employing interpretative phenomenological analysis (IPA) with a sample of six Turkish participants who have experienced failure in their entrepreneurial pursuits. The study’s findings reveal unique patterns within social contexts; notable differences emerge between immediate and broader social settings. Moreover, this yields implications in the aftermath of failure and learning. This study provides insights into understanding entrepreneurial failure as an experience by emphasizing the importance of specific social dynamics and relationships in the failure process
Structural and shielding effectiveness properties of (NiFe2O4/chopped strands) composites for 6.5-18 GHz applications
No full textIn this research, a mixed oxide technique was employed to create composite materials comprising NiFe2O4-chopped strands, aimed at evaluating their structural properties and microwave shielding effectiveness. The composites, produced through a hot-pressing process with varying proportions of NiFe2O4 and chopped strands, were integrated with epoxy to enhance their shielding capabilities. X-ray diffraction confirmed the formation of single-phase NiFe2O4, free from secondary phases. Scanning electron microscopy analysis corroborated the presence of cubic crystalline NiFe2O4, without microstructural impurities. The microwave shielding performance of the composites was assessed within the 6.5-18 GHz frequency range using a network analyzer (NA), revealing a minimum shielding effectiveness of - 36.34 dB at 16.56 GHz for a 1.3 mm thick sample. These findings demonstrate the successful fabrication of NiFe2O4-chopped strands composites with tunable microwave shielding properties, achieved by adjusting the NiFe2O4 content, allowing for tailored performance across various frequency bands.University of MiskolcOpen access funding provided by University of Miskolc. The authors have not disclosed any fundin
EFL Instructors’ Perceptions of Evolving Roles of Post-Pandemic Teachers and Students: Learning and Assessment
No full textThe COVID-19 pandemic has had substantial and persistent impacts on pedagogical methodologies and student assessment practices. This study provides an overview of language educators’ perceptions of the post-pandemic era, synthesizing the factors that undermine the effectiveness of student learning and assessment in online and face-to- face classrooms. Additionally, it offers insight into the potential opportunities and challenges associated with teaching and learning in the future. For this purpose, views of 15 English language teachers affiliated in a school of foreign languages were obtained through an online questionnaire in a Word document. The participants provided answers to the questions by comparing their practices before, during, and after the pandemic. Data collected were subjected to content analysis. Findings revealed that the sudden transition to online education brought many challenges and uncertainties that affected mostly assessment processes and interactions negatively, which caused serious concerns in students’ actual performance and fairness of the scores
Power Quality Enhancement in Hybrid PV-BES System based on ANN-MPPT
No full textBattery energy systems (BESs) assisted photovoltaic (PV) plants are among the popular hybrid power systems in terms of energy efficiency, energy management, uninterrupted power supply, grid-connected and off-grid availability. The primary objective of this study is to enhance the power quality of a grid-tied PV-BES hybrid system by developing an operational strategy based on artificial neural network (ANN) based maximum power point tracking (MPPT) method. A test system comprising a 10-kWh BES and a 12.4 kW PV plant is structured and simulated on the MATLAB/Simulink platform. The hybrid system is validated with three different cases: constant radiation, rapid changing radiation, and real-day solar radiation data from the Turkish State Meteorological Service of Tarsus (Mersin, Turkiye) employing the developed operational strategy. These cases involve the examination of three distinct MPPT methods, analyzing DC-link voltage, battery state of charge (SOC), current, voltage, and system total harmonic distortion (THD). The simulation results indicate that the developed operational strategy with the ANN-MPPT method yields superior THD results in output current and a more stable DC-link voltage. Furthermore, the strategy shows improved convergence speed and reduced oscillations to achieve diverse reference operating points under varying atmospheric conditions compared to conventional MPPT methods. Numerical results demonstrate that the developed operational strategy with the ANN-MPPT consistently maintains THD values below 3% and exhibits a stable DC-link voltage deviation of 1.42% in various charging modes for both rapidly changing radiation and real-day solar radiation data