Madenoğlu, Fatma Selen

Profile Picture
Profile URL
https://hdl.handle.net/20.500.12573/2630
Name Variants
FATMA SELEN MADENOĞLU
Fatma Selen MADENOĞLU
Madenoglu, FS
Madenoglu, Fatma S.
Madenoglu, Fatma Selen
Madenoğlu, Fatma Selen
Job Title
Doç. Dr.
Email Address
selen.madenoglu@agu.edu.tr
Main Affiliation
03.01. İşletme
Status
Current Staff
Website
ORCID ID
0000-0002-5577-4471
Scopus Author ID
57217872446
Turkish CoHE Profile ID
58054
Google Scholar ID
s5oTk6YAAAAJ
WoS Researcher ID
ABC-1033-2020
Files
5040_Fatma_Selen_Madenoğlu.jpeg (9.76 KB)

Sustainable Development Goals

1

NO POVERTY
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1

Research Products

4

QUALITY EDUCATION
QUALITY EDUCATION Logo

1

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5

GENDER EQUALITY
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1

Research Products

7

AFFORDABLE AND CLEAN ENERGY
AFFORDABLE AND CLEAN ENERGY Logo

1

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8

DECENT WORK AND ECONOMIC GROWTH
DECENT WORK AND ECONOMIC GROWTH Logo

2

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9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
INDUSTRY, INNOVATION AND INFRASTRUCTURE Logo

5

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REDUCED INEQUALITIES
REDUCED INEQUALITIES Logo

2

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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
RESPONSIBLE CONSUMPTION AND PRODUCTION Logo

2

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13

CLIMATE ACTION
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2

Research Products

14

LIFE BELOW WATER
LIFE BELOW WATER Logo

1

Research Products

17

PARTNERSHIPS FOR THE GOALS
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4

Research Products
Documents

10

Citations

253

h-index

4

Go to Scopus profile
Documents

5

Citations

172

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Scholarly Output

20

Articles

12

Views / Downloads

969/219

Supervised MSc Theses

2

Supervised PhD Theses

0

WoS Citation Count

135

Scopus Citation Count

157

WoS h-index

2

Scopus h-index

3

Patents

0

Projects

2

WoS Citations per Publication

6.75

Scopus Citations per Publication

7.85

Open Access Source

10

Supervised Theses

2

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JournalCount
Business and Management Studies: An International Journal2
Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi1
Corporate Governance-The International Journal of Business in Society1
International Series in Operations Research and Management Science1
İşletme Araştırmaları Dergisi1
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Scholarly Output Search Results

Now showing 1 - 10 of 20
  • Thumbnail Image
    Article
    Grasp based metaheuristic approach for dynamic flexible job shop scheduling problem.
    (2020) Alper Hamza Dayı; Fatma Selen MADENOĞLU; Adil Baykasoğlu
    Grasp
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    Article
    Personnel Selection by Using Fuzzy Hybrid Multi Criteria Decision Making Methodology
    (2020) Madenoglu, Fatma Selen
    Personel seçim problemi işletmeler için oldukça önemli ve içerisinde birden fazla değerlendirme kriterini barındıran ve belirsizliğin olduğu çok kriterli karar verme problemidir. Çalışmada, Bulanık TOPSİS, Bulanık Gri ilişkisel analiz, Bulanık Waspas, Bulanık Aras yöntemleri kullanılarak çözüm amaçlı bir yaklaşım önerilmiştir. Personel seçiminde kullanılacak kriterlerin ağırlıkları bulanık SWARA yöntemiyle belirlenirken grup hiyerarşisi de değerlendirilmiştir. Önerilen yaklaşımın uygulanabilirliğini ve sonuçlarını göstermek için, üretim sektöründe faaliyet gösteren bir işletmenin depo sorumlusu seçme sürecine önerilen yaklaşım uygulanmıştır.
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    Book Part
    Industry 4.0: A Bibliometric Analysis
    (Nova Science Publishers, Inc., 2023) Madenoğlu, Fatma Selen
    With the emergence of Industry 4.0, organizations' interest in digital transformation has significantly expanded to remain competitive. As a result, organizational digital transformations have appeared. Nowadays, machine learning is built into every device, and automation has taken center stage. This paper presents a bibliometric study and in-depth research on the most recent advancements in the "Industry 4.0" field. The top 10 most cited publications and authors, main research areas, publications, and countries are all examined as part of the bibliometric study, which also extracts data on the overall number of publications and citations. The organizational transformation highlighted in the publications is then examined after a detailed analysis of the most cited publications. In this paper, the publications on Industry 4.0 are examined and in addition, publications that deal with Industry 4.0 and organizational transformation are presented. © 2023 Elsevier B.V., All rights reserved.
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    Master Thesis
    COVID-19 Sürecinde Hareketlilikte Eşitsizlik: Küresel ve Yerel Analiz
    (Abdullah Gül Üniversitesi, Sosyal Bilimleri Enstitüsü, 2022) Gençaslan, Elif; Gençaslan, Elif; Türk, Umut; Madenoğlu, Fatma Selen
    This thesis analyzes mobility patterns during the Covid-19 pandemic from a global and local perspective. The global framework includes 37 European countries and the local framework comprises 81 Turkish cities. The study follows the daily mobility trajectories of people from February 2020 to January 2022. The analyzes are conducted to understand the economic opportunities available in countries -at a macro scale- that facilitate or hinder the 'proper' mobility behavior of individuals while focusing on the captive commuters, i.e., the share of the population who need to commute to the work despite the risk of infection and governmental policies. The results indicate that the workforce in regions with higher GDP per capita, education level, and life expectancy at birth was able to reduce their workplace mobility higher than commuters in areas with low income, education level, and life expectancy at birth. Therefore, unprivileged populations were exposed to higher health risks against rapid Covid-19 transmission in Europe and Turkish cities.
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    Book Part
    Portfolio Optimization: An Application on the BIST-30 Index
    (Peter Lang AG, 2023) Madenoğlu, Fatma Selen; Ünlüsoy, Ömer Faruk
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    Article
    Bulanık Çok Kriterli Karar Verme Ortamında Yeşil Tedarikçi Seçimi
    (2019) Madenoglu, Fatma Selen
    Yasal düzenlemeler ve müşterilerin artan çevre koruma bilinci, işletmeleri tedarik zinciri faaliyetlerini,yeşil tedarikçi zinciri yönetimine uygun olarak çevreye daha az zarar verecek şekilde yapılandırmaya özengösterir hale getirmiştir. Yeşil tedarikçi seçimi, yeşil tedarik zinciri yönetiminde rol alan önemli faktörlerdendir.Yeşil tedarikçi seçiminde ekonomik ve çevresel kriterler birlikte ele alınmaktadır. Yeşil tedarikçi seçimproblemleri belirsizlik içerdiğinden karar vericilerin dilsel ifadelerle görüşlerini belirtebilecekleri bulanık kümeteorisi kullanılmaktadır. Yeşil tedarikçi seçim probleminde, birden fazla alternatif birden fazla kritere göredeğerlendirildiğinden, çok kriterli karar verme yöntemleri bu problemin çözümü için oldukça uygundur. Buçalışmanın temel amacı, nicel verilerin yetersiz olduğu yeşil tedarikçi seçim ortamında, önerilen çözümyöntemini kullanarak yeşil tedarikçi seçimini gerçekleştirmektir. Önerilen modelde, yeşil tedarikçi sıralamasıBulanık TOPSİS, Bulanık Vikor, Bulanık Gri İlişkisel Analiz, Bulanık Aras yöntemleri ile elde edilmiştir.Tedarikçi seçim ve değerlendirme kriter ağırlıkları bulanık SWARA yöntemiyle belirlenmiş ve bilgi kaybınınolmasını önlemek için çok kriterli karar verme problemlerinde de kriter ağırlıkları bulanık sayı olarakkullanılmıştır. Önerilen çözüm modeli, orta ölçekli şehir mobilya üretimi gerçekleştiren bir işletmenin yeşiltedarikçi seçim sürecine uygulanmıştır. Bu uygulama için yapılan hesaplamalar neticesinde dört yöntemden aynıtedarikçi sıralaması elde edilmiştir. Çalışmada kullanılan dört çok kriterli karar verme yönteminin temel vekavramsal özellikleri değerlendirilmiştir. Bu problem için gri ilişkisel analiz yönteminin daha uygun olduğusonucuna varılmıştır.
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    Article
    Performance Evaluation of Energy Companies With a Novel Integrated Multi- Criteria Decision Making Method
    (Kafkas University Iibf, 2022) Madenoglu, Fatma Selen; Unlusoy, Omer Faruk; Yilmaz, Cagatay
    Financial statements are an important tool for assessing and analyzing an organization's financial performance. Financial performance analysis allows for an accurate and appropriate appraisal of an organization's performance. The evaluation procedure must be thoroughly stated because financial performance indicators represent a company's competitiveness. This study provides a novel integrated multi-criteria decision-making method for analyzing an organization's financial performance. The applicability of the proposed method is assessed employing financial ratios that are integrated to generate a financial performance score for eight well-known Turkish energy companies. The criteria are weighted using the entropy method in the proposed method. The multi- attributive border approximation area comparison (MABAC) method is used to rank the companies. As the weights of the criteria have an impact on the ranking outcomes, a sensitivity analysis of the weights is performed. We also exhibit a comparison analysis of energy company rankings to validate the proposed approach's results using four MCDM methods: ELECTRE, MAUT, TOPSIS, and WASPAS. In addition, an alternative weighting method is also used to evaluate the results. The results show that the proposed method is an effective MCDM for coping with evaluation problems.
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    Article
    Citation - WoS: 1
    Citation - Scopus: 1
    An Analysis of Annual Reports From the Sustainable Development Goals Perspective
    (Emerald Group Publishing Ltd, 2024) Hacihasanoglu, Erk; Unlusoy, Oemer Faruk; Madenoglu, Fatma Selen
    PurposeThe sustainable development goals (SDGs) are introduced to guide achieving the sustainable goals and tackle the global problems. United Nations members may perform activities to achieve the predetermined goals and report on their SDG activities. The comprehension and commitment of several stakeholders are essential for the effective implementation of the SDGs. Countries encourage their stakeholders to perform and report their activities to meet the SDGs. The purpose of this study is to investigate the extent to which corporations' annual reports address the SDGs to assess and comprehend their level of commitment to, priority of and integration of SDGs within their reporting structure. This research makes it easier to evaluate corporations' sustainability performance and contributions to global sustainability goals by looking at the extent to which they address the SDGs.Design/methodology/approachIn the study, it is revealed to what extent the reports meet the SDGs with the multilabel text classification approach. The SDG classification is carried out by examining the report with the help of a text analysis tool based on an enhanced version of gradient boosting. The implementation of a machine learning-based model allowed it to determine which SDGs are associated with the company's operations without the requirement for the report's authors to perform so. Therefore, instead of reading the texts to seek for "SDG" evidence as typically occurs in the literature, SDG proof was searched in relevant texts.FindingsTo show the feasibility of the study, the annual reports of the leading companies in Turkey are examined, and the results are interpreted. The study produced results including insights into the sustainable practices of businesses, priority SDG selection, benchmarking and business comparison, gaps and improvement opportunities identification and representation of the SDGs' importance.Originality/valueThe findings of the analysis of annual reports indicate which SDGs they are concerned about. A gap in the literature can be noticed in the analysis of annual reports of companies that fall under a particular framework. In addition, it has sparked the idea of conducting research on a global scale and in a time series. With the aid of this research, decision-making procedures can be guided, and advancements toward the SDGs can be achieved.
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    Book Part
    Citation - Scopus: 3
    Solving Optimization Problem With Particle Swarm Optimization: Solving Hybrid Flow Shop Scheduling Problem With Particle Swarm Optimization Algorithm
    (Springer, 2021) Madenoğlu, Fatma Selen
    The flow shop scheduling problem is widely discussed in the literature since it is frequently applied in real industry. This paper presents a variant of flow shop scheduling problem with parallel machines. The proposed problem includes multistage and identical parallel machines at each stage, and the sequence-dependent setup time and transportation time are considered. The objective function is minimization of makespan. The particle swarm optimization algorithm (PSO) is addressed to solve the problem and compared with genetic algorithm and heuristics. The benchmark instances are generated to demonstrate the performance of the PSO. The numerical results show that the PSO significantly outperforms the comparison set. © 2021 Elsevier B.V., All rights reserved.
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    Letter
    DİNAMİK ORTAMDA EKSİK OPERASYONLAR HİBRİT AKIŞ TİPİ ÇİZELGELEME PROBLEMİ İÇİN SEZGİSEL YAKLAŞIMLAR
    (TÜBİTAK ULAKBİM Ulusal Akademik Ağ ve Bilgi Merkezi Cahit Arf Bilgi Merkezi, 2020) Fatma Selen MADENOĞLU
    Bu çalışmada, dinamik üretim ortamında toplam tamamlanma zamanının en küçüklenmesi amacıyla hibrit akış tipi çizelgeleme problemi ele alınmıştır. Daha spesifik olarak, çalışmada taşıma zamanı, sıraya bağlı hazırlık süreleri, eksik operasyonların olması ve dinamik olarak yeni siparişlerin gelişi durumları da ele alınmıştır. Ele alınan problemin çözümüne sezgisel yaklaşımlar önerilmiştir. Deneysel çalışmalar, sezgisel yaklaşımların performanslarının eksik operasyon seviyesi değişimine bağlı olarak incelemek için gerçekleştirilmiştir.