Browsing by Author "Madenoğlu, Fatma Selen"

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An analysis of annual reports from the sustainable development goals perspective
(Emerald Publishing, 2023) Hacıhasanoğlu, Erk; Ünlüsoy, Ömer Faruk; Madenoğlu, Fatma Selen; 0000-0002-3252-5720; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; Hacıhasanoğlu, Erk; Ünlüsoy, Ömer Faruk; Madenoğlu, Fatma Selen
Purpose – The 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/approach – In 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. Findings – To 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/value – The 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.
BULANIK ÇOK KRİTERLİ KARAR VERME ORTAMINDA YEŞİL TEDARİKÇİ SEÇİMİ
(ACC Publishing, 2019) Madenoğlu, Fatma Selen; 0000-0002-5577-4471; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; Madenoğlu, 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.
Examination of Provinces in Türkiye about Sectoral Employment Share by Cluster Analysis
(Anadolu Üniversitesi, 2024) Sungur, Banu Bitgen; Madenoğlu, Fatma Selen; 0000- 0002-5577-4471; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; Madenoğlu, Fatma Selen
The significance of regional dynamics in the process of economic development and regional development has increased as a result of significant factors like competitiveness, human resource development, and observation of the global market. In this study, mathematical programming-based cluster analysis has been conducted to group the regions in Türkiye according to sectoral employment rates. A mixed integer mathematical model is presented that maximizes the smallest of the out-of-cluster distances while minimizing the largest within-cluster distance. Level 2- 26 sub-regions in Türkiye are clustered according to sectoral employment data for 2021 and 2022. As a result, two clusters were obtained for both years in our country according to employment status by gender on a sectoral basis. One of these clusters is where the employment rate of the agricultural sector is higher than other sectors, and the other is where the employment rate of the industrial and service sectors is higher. When the 2021 and 2022 clusters are compared, in total, TR22, TR32, TR33, TRC3; in men, TR21, TR22, TR32, TR52, TR81; In women, it was observed that TRC1 regions were assigned to different clusters. By implementing a successful employment policy as human resource development across the national government, it will be possible to ensure the balanced growth of provinces located in Türkiye's various geographical areas.
A GROUP DECISION-MAKING METHOD FOR RANKING PROBLEMS UNDER SUSTAINABILITY, RISKS, AND INTUITIONISTIC FUZZY ENVIRONMENT
(Pamukkale Üniversitesi, 2023) Madenoğlu, Fatma Selen; 0000-0002-5577-4471; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; Madenoğlu, Fatma Selen
This paper presents a group decision-making mechanism to properly manage ranking problems in an intuitionistic fuzzy environment. TOPSIS ranking multi-criteria decision-making (MCDM) methods is utilized under the intuitionistic fuzzy set theory. This solution technique examines the sets of criteria employed in decision-making problems, the preferences of a group of decision-makers, and the importance levels of decision-makers. Managers use the ranking methods as a reliable technique for making supplier evaluation decisions. Furthermore, the supply chain suffers from the shortage of materials, transportation problems, etc. In the post COVID-19 era, the need for a practical and exhaustive tool is explicit. An illustrative case on a supplier selection problem considering sustainability and risks in the post-COVID-19 era is used to demonstrate the applicability of the proposed technique by detailing the procedure step by step. A comparative analysis of the results is carried out. The results are compared with the results of the MARCOS method. The results show that the presented methodology is applicable to the other areas as well.
HİBRİT AKIŞ TİPİ ÇİZELGELEME PROBLEMİNİN PARÇACIK SÜRÜ OPTİMİZASYON ALGORİTMASIYLA ÇÖZÜMÜNE BAŞLANGIÇ POPÜLASYONUN ETKİSİ
(Marmara Üniversitesi, 2020) Madenoğlu, Fatma Selen; 0000-0002-5577-4471; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; Madenoğlu, Fatma Selen
Bu çalışmada, birden fazla aşama, her aşamada özdeş paralel makineler ve makinelerde işlenen işler arası geçişlerde sıraya bağlı hazırlık süresini içeren hibrit akış tipi çizelgeleme problemi sunulmuştur. Metasezgisel yöntemler bu karmaşık problemlerin çözümünde tercih edilmektedir. Metasezgisel yöntemlerde optimum çözüm ararken, oluşturulan başlangıç çözümlerin nihai sonuca etkisi oldukça önemlidir. Hibrit akış tipi çizelgeleme probleminin çözümüne önerilen parçacık sürü optimizasyon (PSO) algoritmasına farklı başlangıç çözüm oluşturma yöntemlerinin etkisi incelenmiştir. Dört farklı başlangıç çözüm oluşturma yaklaşımı sonuçları karşılaştırılmıştır. Nawaz, Enscore, Ham (NEH) sezgiselinin diğer yöntemlerden daha etkili olduğu sonucuna ulaşılmıştır.
Industry 4.0: A bibliometric analysis
(Nova Science Publishers, Inc., 2023) Madenoğlu, Fatma Selen; 0000-0002-5577-4471; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; 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.
Managing transportation in supply chain: Metaheuristics for solving a capacitated fixed-charge transportation problem
(IGI Global, 2021) Madenoğlu, Fatma Selen; 0000-0002-5577-4471; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; Madenoğlu, Fatma Selen
Supply chain management is the managing of all processes of goods, services, and information from suppliers to customers. Transportation network design is an important part of effective supply chain management. This chapter presents the two-stage fixed-charge transportation problem in a supply chain to minimize the total cost containing the opening cost of distribution centers, transportation cost from manufacture to distribution centers and from distribution centers to customers, and fixed cost for transportation from distribution centers to customers. There are the capacity constraints on distribution centers in order to consider real life situations in this chapter. A constructive based algorithm and a population-based algorithm are proposed to solve this complex optimization problem. Taguchi experimental design is applied for determining the best combinations of parameters. The experimental studies are conducted to compare the performance of the proposed algorithms according to solution quality.
PERFORMANCE EVALUATION OF ENERGY COMPANIES WITH A NOVEL INTEGRATED MULTI-CRITERIA DECISION MAKING METHOD
(Kafkas Üniversitesi, 2022) Madenoğlu, Fatma Selen; Ünlüsoy, Ömer Faruk; Yılmaz, Çağatay; 0000-0002-5577-4471; 0000-0002-3252-5720; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; Madenoğlu, Fatma Selen; Ünlüsoy, Ömer Faruk
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 multiattributive 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
Portfolio optimization: An application on the BIST-30 Index
(Peter Lang AG, 2023) Madenoğlu, Fatma Selen; Ünlüsoy, Ömer Faruk; 0000-0002-5577-4471; 0000-0002-3252-5720; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; Madenoğlu, Fatma Selen; Ünlüsoy, Ömer Faruk
F. S. Madenoğlu And Ö. F. Ünlüsoy, "Portfolio Optimization: An Application on the BIST-30 Index," In Interdisciplinary Public Finance, Business and Economics Studies– Volume VI , Berlin: Peter Lang Publishing, Inc., 2023, pp.75-87.
Solving Optimization Problem with Particle Swarm Optimization: Solving Hybrid Flow Shop Scheduling Problem with Particle Swarm Optimization Algorithm
(SPRINGER LINK, 2021) Madenoğlu, Fatma Selen; 0000-0002-5577-4471; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; 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.
SOLVING THE HYBRID FLOW SHOP SCHEDULING PROBLEM USING HEURISTIC ALGORITHMS
(ACC Publishing, 2019) Madenoğlu, Fatma Selen; 0000-0002-5577-4471; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; Madenoğlu, Fatma Selen
A variant of the hybrid flow shop (HFS) problem considering missing operations, transportation timesand sequence-dependent setup times is investigated. Heuristic algorithms along with dispatching rulesanddispatching rules are used to solve the given problem. The objective function is minimization makespan. Thecomputational experimets are conducted to test the performance of the heuristic algoirthms and dispatching rules.In order to depict the effect of the factors: number of jobs, number of machines, number of production stages, levelof missing operations on the result, the additiol experimentes are carried out. The result of NEH heuristic withSPTF rule outperformed other heuristics for the proposed HFS problems.