Şener Fidan, Fatma
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F.Ş. Fidan Fidan, F. S. Fidan, Fatma Sener Fidan, Fatma Şener
Job Title
Dr. Öğr. Üyesi
Email Address
fatma.senerfidan@agu.edu.tr
Main Affiliation
02.02. Endüstri Mühendisliği
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Current Staff
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Sustainable Development Goals
1NO POVERTY
1
Research Products
2ZERO HUNGER
0
Research Products
3GOOD HEALTH AND WELL-BEING
1
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4QUALITY EDUCATION
1
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5GENDER EQUALITY
1
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6CLEAN WATER AND SANITATION
1
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7AFFORDABLE AND CLEAN ENERGY
1
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8DECENT WORK AND ECONOMIC GROWTH
4
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
7
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10REDUCED INEQUALITIES
1
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11SUSTAINABLE CITIES AND COMMUNITIES
4
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
7
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13CLIMATE ACTION
7
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14LIFE BELOW WATER
5
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15LIFE ON LAND
2
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
1
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17PARTNERSHIPS FOR THE GOALS
4
Research Products
Documents
9
Citations
160
h-index
6
Documents
8
Citations
124
No records found in other affiliations.
Scholarly Output
13
Articles
11
Views / Downloads
15/63
Supervised MSc Theses
0
Supervised PhD Theses
0
WoS Citation Count
124
Scopus Citation Count
160
Patents
0
Projects
2
WoS Citations per Publication
9.54
Scopus Citations per Publication
12.31
Open Access Source
7
Supervised Theses
0
| Journal | Count |
|---|---|
| Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi | 3 |
| Journal of Cleaner Production | 2 |
| Environmental Science and Pollution Research | 1 |
| Integrated Environmental Assessment and Management | 1 |
| International Journal of Life Cycle Assessment | 1 |
Current Page: 1 / 2
Scopus Quartile Distribution
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13 results
Scholarly Output Search Results
Now showing 1 - 10 of 13
Conference Object Generating Linguistic Advice for the Carbon Limit Adjustment Mechanism(Springer Science and Business Media Deutschland GmbH, 2023-10-02) Fidan, Fatma Şener; Aydogan, Sena; Akay, DiyarLinguistic summarization, a subfield of data mining, generates summaries in natural language for comprehending big data. This approach simplifies the incorporation of information into decision-making processes since no specialized knowledge is needed to understand the generated language summaries. The present research employs linguistic summarization to examine the circumstances surrounding the Carbon Border Adjustment Mechanism, one of the most significant regulations confronting exporting nations to the European Union, and will be adopted to support sustainable growth. In this paper, associated with several attributes of the countries and product flow from exporting countries to European countries were defined as nodes and relations, respectively. Before the modeling phase, fuzzy c-means automatically identified fuzzy sets and membership degrees of attributes. During the modeling phase, summary forms were generated using polyadic quantifiers. A total of 1944 linguistic summaries were produced between exporting countries and European countries. Thirty-five summaries have a truth degree greater than or equal to the threshold value of 0.9, which is considered reasonable. The provision of natural language descriptions of the Carbon Border Adjustment Mechanism is intended to aid decision-makers and policymakers in their deliberations. © 2023 Elsevier B.V., All rights reserved.Article Citation - WoS: 6Citation - Scopus: 7Sustainability Assessment of Denim Fabric Made of PET Fiber and Recycled Fiber From Postconsumer PET Bottles Using LCA and LCC Approach With the EDAS Method(Wiley, 2024-11-01) Fidan, Fatma Sener; Aydogan, Emel Kizilkaya; Uzal, NigmetThe textile industry is under pressure to adopt sustainable production methods because its contribution to global warming is expected to rise by 50% by 2030. One solution is to increase the use of recycled raw material. The use of recycled raw material must be considered holistically, including its environmental and economic impacts. This study examined eight scenarios for sustainable denim fabric made from recycled polyethylene terephthalate (PET) fiber, conventional PET fiber, and cotton fiber. The evaluation based on the distance from average solution (EDAS) multicriteria decision-making method was used to rank scenarios according to their environmental and economic impacts, which are assessed using life cycle assessment and life cycle costing. Allocation, a crucial part of evaluating the environmental impact of recycled products, was done using cut-off and waste value. Life cycle assessments reveal that recycled PET fiber has lower freshwater ecotoxicity and fewer eutrophication and acidification impacts. Cotton outperformed PET fibers in human toxicity. Only the cut-off method reduces potential global warming with recycled PET. These findings indicated that recycled raw-material life cycle assessment requires allocation. Life cycle cost analysis revealed that conventional PET is less economically damaging than cotton and recycled PET. The scenarios were ranked by environmental and economic impacts using EDAS. This ranking demonstrated that sustainable denim fabric production must consider both economic and environmental impacts. Integr Environ Assess Manag 2024;00:1-19. (c) 2024 The Author(s). Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).Conference Object Citation - WoS: 5Citation - Scopus: 6The Selection of Washing Machine Programs With Fuzzy Dematel and Moora-Ratio Multi-Criteria Decision-Making Methods Considering Environmental and Cost Criteria(Elsevier Science inc, 2024-01) Fidan, Fatma Sener; Aydogan, Emel Kizilkaya; Uzal, NigmetThe washing machine is the prevalent white household equipment in contemporary society. These machines provide consumers with a range of program options that encompass several variables, including temperature and detergent type. Nevertheless, the selection made by individual customers about the washing machine program they opt for carries substantial environmental consequences during the use stage of textile products. According to studies on the life cycle of clothes, it has been established that the use stage, following the extraction of raw materials, exerts the most substantial influence on environmental impacts. The objective of this research is to assess the washing machine programs provided by the manufacturer through the application of a comprehensive systematic approach for analysis. The evaluation of scenarios for washing machine programs was conducted using the MOORA-Ratio multi-criteria decision-making process. This evaluation considered various parameters, including environmental impact and cost. The life cycle assessment methodology was employed to quantify the environmental impact of the specified criteria. Based on the comprehensive study conducted by integrating criteria across numerous dimensions, it has been determined that the most favorable scenario wass scenario 1, which was developed for the Cotton 20 C program. The primary objective of this research endeavor is to fill a significant need in the current body of literature by undertaking a comprehensive review of washing machine programs that have not been previously recorded. This study employs a comprehensive methodology to investigate the environmental and economic implications linked to these activities, with the objective of delivering significant insights to producers and users.Article Citation - WoS: 3Citation - Scopus: 4Investigating the Carbon Border Adjustment Mechanism Transition Process With Linguistic Summarization Method: A Situational Analysis of Exporting Countries(Elsevier Sci Ltd, 2024-08) Fidan, Fatma Sener; Aydogan, Sena; Akay, Diyar; Şener Fidan, FatmaThe Paris Agreement holds significant importance since it establishes a global framework for addressing the issue of climate change and endeavors to mitigate the release of greenhouse gases. The Carbon Border Adjustment Mechanism was introduced as an integral component of this agreement, aiming to oversee the carbon emissions associated with imported items within the European Union and provide compensation for the emissions from the nations engaged in importation. It is essential to analyze the countries involved in exporting to the European Union within the Carbon Border Adjustment Mechanism context to mitigate carbon leakage and effectively support the objectives outlined in the Paris Agreement. This research investigated 104 nations engaged in exporting activities to 27 European Union member countries. The linguistic summarization method, a descriptive data analytics tool, was employed for the analysis. A total of 42 Combined Nomenclature codes were encompassed within the scope of evaluation throughout the transition phase of the Carbon Border Adjustment Mechanism. This study examines the characteristics of exporting nations based on three variables: The Environmental Performance Index, a sustainability indicator; the Region in which the countries are located as classified by the World Bank; and the quantity of Renewable Energy Consumption. Additionally, the study explores the characteristics of EU countries, focusing on their Environmental Performance Index score and geography. The study employed fuzzy sets and the fuzzy c-means algorithm as parts of the linguistic summarization technique. Polyadic quantifiers were used to extract linguistic summaries, resulting in the acquisition of 124,227 summaries. A total of 1594 summaries have a truth degree exceeding 0.9. The findings were effectively utilized to assess the influence of the linguistic summarization approach and offered a valuable viewpoint for decisionmakers needing more expertise in this domain.Article Dilsel Özetleme ile Kentsel Hareketlilik Kalıpları: Bisiklet Verilerinden İçgörüler(2023) Aydoğan, Sena; Akay, Diyar; Fidan, Fatma ŞenerThis study examined how urban mobility patterns might be analyzed using linguistic summarization, one of the descriptive data analytics tools. The paper focused on urban bicycle-sharing system data, a rich source of knowledge for comprehending urban mobility patterns. The study used a dataset with several variables: day, hour, station, and user type. The data was turned into linguistic descriptions that offer valuable insights into urban mobility through the strength of the fuzzy set. The analysis of travel patterns included identifying busy stations at various times of the day, user segment preferences (students vs. non-students), and changes in general mobility. The results of the linguistic summarization of the urban cycling data allowed for a more thorough knowledge of urban travel patterns. Urban planners, decision-makers, and transportation authorities may optimize the city's current infrastructure, increase accessibility, and meet its residents' wide range of needs thanks to the results that shed light on the dynamics of urban mobility. The study showed how practical descriptive data analytics can be in revealing information, mainly when used to examine travel patterns utilizing information from urban bicycles.Article Çevresel, Sosyal ve Ekonomik Kriterler Dikkate Alınarak MABAC Yöntemi ile En Uygun Konut Kredisi Sağlayıcısının Belirlenmesi(2023) Fidan, Fatma ŞenerTürkiye'de bankacılık sektörü, aktif büyüklüğü ile en önemli sektörlerden biri olup sektörün en büyük aktif kalemi olan kredilerdir. Küresel yasal düzenlemeler ve artan rekabet nedeniyle bankalar mevcut konumlarını koruyabilmek için ekonomik faktörlerin yanı sıra çevresel ve sosyal faktörleri de göz önünde bulundurmak zorundadırlar. Bu nedenle bu çalışmada, bankalar tarafından sağlanan konut kredisinin ekonomik değerlendirmesinin yanı sıra çevresel ve sosyal kriterleri de dikkate alınarak değerlendirilmesi için bir Çok Kriterli Karar Verme (ÇKKV) problemi ortaya konulmuştur. Literatürde elde edilen kriterlerle Türkiye'de yerleşik 7 bankanın bütünleşik değerlendirmesinde Çok Nitelikli Sınır Yakınlaştırma Alanı Karşılaştırması (MABAC) metodu kullanılmıştır. Elde edilen sıralama da Ziraat Bankası birinci, İş Bankası ikinci ve Vakıfbank üçüncü sırada yer almıştır.Article Citation - WoS: 62Citation - Scopus: 80An Integrated Life Cycle Assessment Approach for Denim Fabric Production Using Recycled Cotton Fibers and Combined Heat and Power Plant(Elsevier Sci Ltd, 2021-03) Fidan, F. S.; Aydogan, E. K.; Uzal, N.Due to the increase in consumption and awareness of environmental impacts, switching to new business models has become mandatory in the textile industry. The aim of this study is to investigate the contribution of using mechanically recycled cotton fiber instead of virgin cotton fiber, which is one of the most important raw materials in textiles and grown using a high amount of water and pesticides, and combined heat and power (CHP) plant instead of grid energy in terms of the environmental impacts, cost, and quality of denim fabric product via 8 scenarios using an integrated sustainability assessment approach. The scenarios were identified according to the use of the CHP plant in the manufacturing process and the ratio of recycled cotton fiber used in the product. Environmental impacts were analyzed using the life cycle assessment approach (LCA). Besides the environmental impact analyses, product quality and cost-savings of all scenarios were also examined using TODIM (an acronym in Portuguese for Interactive and Multicriteria Decision Making) method to apply an integrated approach for sustainable denim fabric production. Global warming potential (GWP), acidification potential(AP), eutrophication potential(EP), water use, and cumulative energy demand(CED) were investigated as environmental impact categories in the production of denim fabric. In addition to environmental impact categories washed weight, tear, tensile, and cost-saving were determined as the attributes of TODIM. According to the LCA results, the highest environmental impact improvements were obtained as 98% water use, 90% EP, 74% AP, 63% CED, and 54% GWP for scenario 8 with 100% recycled cotton and CHP plant use. Besides, the use of the CHP plant offered 4% GWP and 0.42% water usage saving regardless of the recycled cotton ratio. In addition, scenario 8 also showed the best performance for the integrated sustainability assessment by TODIM. It is obviously demonstrated that the use of the mechanically recycled cotton as a raw material and CHP plant as an energy source through the manufacturing processes of denim production will facilitate the transfer of traditional linear economy business models of companies to the circular economy. (C) 2020 Elsevier Ltd. All rights reserved.Article Tekstil Atıksu Arıtma Tesisinde Nötralizasyon Prosesinin Yaşam Döngüsü Değerlendirmesi(2020) Uzal, Nıgmet; Aydogan, Emel Kızılkaya; Fidan, Fatma ŞenerAlthough industrial wastewater treatment plants (WWTP) have become an important part of textile facilities in reducing environmental pollution problems, they also produce sludge and various emissions such as high chemical oxygen demand, color and conductivity which have serious negative impacts on the environment. One of the processes with enormous chemical consumption in industrial WWTP of textile facilities is the neutralization process, which aims to adjust the pH of the wastewater. Neutralization processes needed to be optimized in order to determine its overall environmental impacts and then identify the most environmentally appropriate options. The aim of this study is to compare the environmental impacts of carbon dioxide and sulfuric acid, which are two alternative chemicals used in the neutralization process of textile facilities, using Life Cycle Assessment (LCA) approach. The environmental impacts resulting from the use of these two chemicals proposed according to the Reference document on Best Available Techniques (BREF) Document for Textile Industry were revealed by the CML-IA method and the gate-to-gate method. According to the results, using carbon dioxide instead of sulfuric acid, the best improvement was in the abiotic depletion category with 92%, while the least improvement was in the eutrophication potential with 39%. No improvement was observed in the global warming potential and human toxicity impacts.Article Fuzzy Logic-Enhanced PMC Index for Assessing Policies for Decarbonization in Higher Education: Evidence from a Public University(MDPI, 2025-10-09) Fidan, Fatma Sener; Şener Fidan, FatmaHigher education institutions play a critical role in the transition to a low-carbon future due to their research capacity and societal influence. Accordingly, the calculation of greenhouse gas (GHG) emissions and the prioritization of mitigation strategies are of particular importance. In this study, a comprehensive campus-level GHG inventory was prepared for a public university in T & uuml;rkiye in alignment with the ISO 14064-1:2018 standard, and mitigation strategies were evaluated. To prioritize these strategies, both the classical Policy Modeling Consistency (PMC) index and, for the first time in the literature, a fuzzy extension of the PMC model was applied. The results reveal that the total GHG emissions for 2023 amounted to 4888.63 tCO2e (1.19 tCO2e per capita), with the largest shares originating from investments (31%) and purchased electricity (28.38%). While the classical PMC identified only two high-priority actions, the fuzzy PMC reduced score dispersion, resolved ranking ties, and expanded the number of high-priority actions to seven. The top strategies include awareness programs, energy-efficiency measures, virtual meeting practices, advanced electricity monitoring, and improved data management systems. By comparing the classical and fuzzy approaches, the study demonstrates that integrating fuzzy logic enhances the transparency, reproducibility, and robustness of strategy prioritization, thereby offering a practical roadmap for campus decarbonization and sustainability policy in higher education institutions.Article Citation - WoS: 14Citation - Scopus: 18Comprehensive Analysis of Social Subcategories Throughout Life Cycle Assessment Approach for the Textile Industry(Springer Heidelberg, 2024-07-01) Fidan, Fatma Sener; Aydogan, Emel Kizilkaya; Uzal, NigmetPurposeWhile the environmental and economic aspects of sustainability have been extensively studied, social sustainability has been largely neglected and necessitates a thorough investigation. The study examines the intricate nature of social impact assessments, considering the substantial significance of the textile industry in the global economy and its wide-ranging social implications. This study comprehensively examines critical social subcategories used in the life cycle assessment (LCA) methodology to highlight the social sustainability of the textile sector. The objective of the study is to enhance and optimize the subcategories proposed by UNEP/SETAC for social LCA by examining, expanding, and adapting them specifically to the textile industry, offering a more focused and sector-specific viewpoint on key metrics.MethodsThe study examines its use in textile production and distribution by first carefully evaluating the subcategories established by UNEP/SETAC for social LCA. A systematic assessment of positive and negative social impacts throughout the entire supply chain is examined through global standards, textile-specific standards, and literature. Analysis of semi-structured stakeholder interviews and a comprehensive literature review reveals important social subcategories, some of which go beyond the S-LCA guidelines.ResultsNew social metrics, including quality, women's rights, gender pay gap, collaboration with NGOs, academic research, circularity implementation, and environmental issues, were formulated from stakeholders' perspectives, tailored specifically for the textile sector.ConclusionsThe results of the study aim to promote a socially sustainable textile industry by guiding stakeholders to make informed decisions and adopt methods that prioritize social responsibility as well as environmental and economic factors.