TR-Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1927
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Article Tasarımda Altı Sigma Yöntemi ile Statik İvme Test Düzeneği Tasarımı(2025) Kılıç, Namık; Kılıç, Namık; Kantar, Berkman Ilgın; 02.03. Department of Mechanical Engineering; 02. Faculty of Engineering; 01. MEF UniversityÇalışmada, havacılık, uzay ve kara platformlarında operasyonel yükler sebebiyle maruz kalınan yüksek ivme seviyelerinin test edilmesine yönelik santrifüj statik ivme test sisteminin Tasarımda Altı Sigma yöntemi ile geliştirilmesi aşamaları anlatılmaktadır. İlk aşamada gerçekleştirilen Kalite Fonksiyon Açılımı ile müşteri gereksinimleri teknik isterlere dönüştürülmüştür. İkinci aşamada Tasarım Hata Modu Etki Analizleri ve kavramsal tasarım yöntemleri ile olası tasarım zayıflıkları ve riskler değerlendirilmiştir. Daha sonra test platformunun güvenli ve yüksek performansta çalışması ve testler sırasında oluşacak güç ihtiyacının azaltılmasına yönelik yapısal optimizasyon çalışması, deney tasarımı ve Hesaplamalı Akışkanlar Dinamiği simülasyonları ile gerçekleştirilmiştir. Çalışma boyunca çeşitli Tasarımda Altı Sigma araçları kullanılarak, ilk seferde doğru tasarım hedeflenmiştir. Oluşturulan veriler ışığında test platformunun güvenli ve fonksiyonel şekilde çalışması için gerekli olan detay tasarım tamamlanmıştır. Yapılan validasyon çalışmaları ile statik ivme test sistemi kullanıma hazır hale getirilmiştir. Proje performans parametreleri karşılaştırılarak, uygulanan ürün geliştirme metodunun klasik Faz Geçiş yöntemine göre etkinliği gösterildi.Article Innovation and Productivity Research in the Last Five Decades: a Bibliometric Analysis(2024) Çelik, Derya; 01. MEF UniversityPurpose: This study aims to reveal research trends by revealing the evaluation in this field by making a holistic analysis of academic studies that have examined the concepts of innovation and productivity in the last five decades. This analysis aims to reveal the general structure of academic studies that deal with the concepts of innovation and productivity. Methodology: Articles searched in the ‘‘Social Science Citation Index (SSCI)’’, ‘‘Science Citation Index Expanded (SCI-EXPANDED)’’ and ‘‘Emerging Sources Citation Index (ESCI)’’ in the ‘‘Web of Science (WoS)’’ database, researching innovation and productivity together between 1980-2023. It was analysed and mapped using the VOSviewer 1.6.19 software and manual methods. Co-occurrence Keyword Analysis, Document Co-citation Analysis and manual analysis methods were used in the mapping. Findings: This study reveals how research in innovation and productivity has developed over the last five decades and what trends it has. It has been determined that the most published areas are Economy, Management and Business. The most frequently used keywords were found to be "innovation", "productivity", "research-and-development", "growth", "performance" and "impact". The most published topics on a cluster basis are "impact", "innovation and productivity", "growth", "research and development" and "performance", respectively. In the document co-citation analysis, it was determined that the publication in which all publications were linked included the study titled "Research, Innovation and Productivity: an econometric analysis at the firm level", published by Crépon et al. (1998). This information can be a valuable resource for future research and policy-making and can be used to drive innovation and productivity progress. Originality: While the study is the first and only content analysis to reveal the combined trends in this field by examining the "innovation and productivity" studies together, it is thought that the results obtained can guide researchers and professionals.Article What Is Neuroentrepreneurship? the Theoretical Framework, Critical Evaluation, and Research Program(2020) Çakar,Tuna; Girişken, Arzu; Çakar, Tuna; 02.02. Department of Computer Engineering; 02. Faculty of Engineering; 01. MEF UniversityAs interest in entrepreneurship research to identify the possible economic development opportunities that entrepreneurs can provide, entrepreneurship research's objective tools are reaching their limits. Researchers in entrepreneurship are striving to discover new techniques and methodologies to answer questions about what makes a person an entrepreneur and perhaps identify and encourage an entrepreneur in the next step. Although a great deal of research has been done to answer these questions scientifically, traditional techniques have failed to produce the desired answers. For this reason, researchers working in the entrepreneurship field have recently been increasingly interested in applying neuroscience methods, especially after the proliferation of research fields such as neuroeconomics, neuromarketing, and neuropolitics. Although the population of neuroentrepreneurship research is gradually increasing, we cannot say that the field has been studied theoretically enough yet. In this article, a theoretical definition of neuroentrepreneurship is made, and a scientific framework is tried to be gained on the way to future research.