Browsing by Author "Aydogan, Emel Kizilkaya"

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Citation - WoS: 4
Citation - Scopus: 5
The 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) Fidan, Fatma Sener; Aydogan, Emel Kizilkaya; Uzal, Nigmet
The 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.
Citation - WoS: 4
Citation - Scopus: 5
Robust Multicriteria Sustainability Assessment in Urban Transportation
(ASCE-Amer Soc Civil Engineers, 2023) Gulcimen, Sedat; Aydogan, Emel Kizilkaya; Uzal, Nigmet
Developing methodologies to facilitate the planning of sustainable transport systems for decision makers (DMs) is becoming more critical. This study proposed a methodological framework for sustainable urban transportation to make decisions during urban transportation's design and planning stages. Urban transportation alternatives were evaluated by sustainability indicators that considered a triple bottom line approach's environmental, economic, and social aspects. To choose the best alternative sustainable transportation scenarios, two multicriteria decision-making (MCDM) methods, for example, a hesitant fuzzy analytical hierarchy process (HF-AHP) and multiple attribute utility model (MAUT), were integrated. First, eight sustainable transportation indicators that considered data availability from the transport sector were selected. The weights of the selected indicators were calculated using an HF-AHP. These indicators included carbon dioxide (CO2) emissions, energy consumption, depletion of nonrenewable resources, operational and maintenance costs, fuel and taxes, the number of fatalities or injuries, and motor vehicles for public transport per 10,000 population. Finally, sensitivity analysis was applied to validate the robustness. Based on HF-AHP results, the number of fatalities or injuries was the most significant among the eight indicators, with a 0.158 normalized weight (N-i). The results of this integrated methodology highlighted that Alternative 11, which was dominated by low-motorized vehicles (low-MVs), was the best sustainable alternative and Alternative 1 was the worst sustainable alternative, which was dominated by high-MVs with 0.69 and 0.27 total utility values, respectively. Low-motorized urban transportation alternatives showed higher sustainable performances than the motorized and high-motorized alternatives. This study proposed a novel and robust methodology for decisions on sustainable urban transportation projects and renovating current urban transportation systems.
Citation - WoS: 7
Citation - Scopus: 11
An Ant Colony Optimisation Algorithm for Balancing Two-Sided U-Type Assembly Lines With Sequence-Dependent Set-Up Times
(Springer India, 2018) Delice, Yilmaz; Aydogan, Emel Kizilkaya; Soylemez, Ismet; Ozcan, Ugur
Some practical arrangements in assembly lines necessitate set-up times between consecutive tasks. To create more realistic models of operations, set-up times must be considered. In this study, a sequence-dependent set-up times approach for two-sided u-type assembly line (TUAL) structures is proposed for the first time. Previous studies on TUAL have not included set-up times in their analyses. Furthermore, an algorithm based on the Ant Colony Optimization (ACO) algorithm, which is using a heuristic priority rule based procedure has been proposed in order to solve this new approach. In this paper, we look at the sequence-dependent set-up times between consecutive tasks and consecutive cycles, called the "forward set-up time'' and the "backward set-up time'', respectively. Additionally, we examine the "crossover set-up time'', which arises from a new sequence of tasks in a crossover station. In order to model more realistic assembly line configurations, it is necessary to include sequence-dependent set-up times when computing all of the operational times such as task starting times and finishing times as well as the total workstation time. In this study, the proposed approach aims to minimize the number of mated-stations as the primary objective and to minimize the number of total workstations as a secondary objective. In order to evaluate the efficiency of the proposed algorithm, a computational study is performed. As can be seen from the experimental results the proposed approach finds promising results for all literature-test problems.
Citation - WoS: 30
Citation - Scopus: 33
Green Building Envelope Designs in Different Climate and Seismic Zones: Multi-Objective ANN-Based Genetic Algorithm
(Elsevier, 2022) Himmetoglu, Salih; Delice, Yilmaz; Aydogan, Emel Kizilkaya; Uzal, Burak
In recent years, the major component of green building designs adopted by governments in order to reduce CO2 emissions as well as energy consumption is the green building envelope. The green envelope has the most important share in terms of thermal energy consumption, environment, and indoor comfort criteria. Determining the most suitable building envelope combination in the building life cycle is an important problem for designers. This study presents a new multi-objective approach that determines the most suitable green envelope designs for the buildings in different climate and earthquake zones, taking into account CO2 emissions, heating/cooling energy consumption, and material cost in terms of life cycle cost analysis. To this end, EnergyPlus building performance simulation program, artificial neural network (ANN), and genetic algorithm are used together. After the heating and cooling energy consumption, CO2 emissions, and material cost values are obtained for a certain number of the envelope alternatives with the EnergyPlus, ANN models that learn the working mechanism of EnergyPlus are trained according to these values. An ANN-based genetic algorithm procedure is developed to search the whole envelope alternative space by using the trained ANN models with EnergyPlus. The proposed approach allows searching in a very short time the whole alternative space, which is almost impossible to scan with EnergyPlus by reducing the time spent and the number of alternatives required for the design and simulation processes of the green building envelope. The proposed approach is performed for a design-stage city hospital structure in Turkey. Window type, the internal/external plaster, wall, and insulation materials along with the thicknesses of these materials, which consist of 46 different variables, are determined as envelope attributes for four different climate and seismic zones. The green building envelope designs obtained with the proposed approach are entered into EnergyPlus and the consistency of the results is compared. ANN models with an average accuracy of over 97% are developed. Without the CO2 emission cost in the life cycle cost, the mean absolute percent error (MAPE) values for each region are 0.67%, 0.6%, 0.58%, and 1.78%, respectively. With the CO2 emission cost in life cycle cost, the MAPE values for each region are 0.96%, 0.88%, 0.86%, and 0.43%, respectively. According to the obtained results, there is a consistency of over 99% between EnergyPlus and the proposed approach.
Citation - WoS: 4
Citation - Scopus: 5
Sustainability 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) Fidan, Fatma Sener; Aydogan, Emel Kizilkaya; Uzal, Nigmet
The 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).
Citation - WoS: 8
Citation - Scopus: 9
Comprehensive Analysis of Social Subcategories Throughout Life Cycle Assessment Approach for the Textile Industry
(Springer Heidelberg, 2025) Fidan, Fatma Sener; Aydogan, Emel Kizilkaya; Uzal, Nigmet
PurposeWhile 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.
Citation - WoS: 12
Citation - Scopus: 13
Developing a Decision-Support System for Waste Management in Aluminum Production
(Springer, 2016) Ozmen, Mihrimah; Aydogan, Emel Kizilkaya; Ates, Nuray; Uzal, Nigmet
Industrial enterprises constitute a major portion of the world's economy, as well as a large proportion of a country's businesses and total employment. In Turkey, industrial enterprises are underdeveloped in terms of knowledge, skill, capital, and particularly accessing and benefiting from the advantages provided by modern information and communication technologies. Aluminum manufacturing has been reported to be the largest industry in Turkey with respect to production volumes and application fields. However, aluminum production is known to be an important contributor to environmental pollution, and the relative contribution of other related enterprises to the total industrial environmental impact is unknown. Environmental pollution sources can typically be classified into three categories: gaseous emissions, solid wastes, and wastewaters. The types of wastes produced by aluminum production vary based on the process line used, the variety of target products produced, and the production capacity of a given plant. As the capacities of facilities grow, the type and amount of waste become more variable. Therefore, the primary objective of this study is to determine the priority of each waste type in aluminum manufacturing industries. This study was conducted in the Industrial Zone of Kayseri in Turkey. Three different facilities that range in size from large to small based on their production volume, plant capacity, and variety of production are selected for this study. The priority of waste types was determined by combining the AHP and PROMETHEE II multicriteria decision methods. While wastewater was categorized as having the highest priority in large facilities, solid waste was determined to be the highest priority in medium and small facilities.
Citation - WoS: 14
Citation - Scopus: 21
Multi-Dimensional Sustainability Evaluation of Indigo Rope Dyeing With a Life Cycle Approach and Hesitant Fuzzy Analytic Hierarchy Process
(Elsevier Sci Ltd, 2021) Fidan, Fatma Sener; Aydogan, Emel Kizilkaya; Uzal, Nigmet
The dyeing process of denim fabric production has the highest potential for significant environmental and human health impacts of denim production, consuming vast amounts of water, chemicals, and dyes. This study aims to assess the sustainability of indigo rope dyeing (IRD) obtained by designing a new recipe with the chemical alternative assessment method. Not only environmental impacts, but also social, economic, and product quality dimensions were included in the multidimensional sustainability assessment. The hesitant fuzzy analytical hierarchy process (HF-AHP) method was used to determine the criteria weights of the determined dimensions. The environmental and social impacts of the existing and newly designed IRD process were evaluated using the gateto-gate life cycle assessment (LCA) and social life cycle assessment (S-LCA) approach. According to the LCA results, the green IRD process exhibited better performance in terms of all environmental impacts evaluated and the abiotic depletion potential of the conventional indigo IRD process can be reduced by 62.55% by applying the green IRD process. According to the HF-AHP results, the most important criteria were environmental impact with 33%, followed by social impacts with 27%, quality results with 23%, and economic results with 17% in assessing the IRD process's sustainability denim production. These results showed that the sustainability of the IRD process could be improved by substituting the chemicals and dyestuff with green alternatives.
Citation - WoS: 17
Citation - Scopus: 17
The Impact of Organic Cotton Use and Consumer Habits in the Sustainability of Jean Production Using the LCA Approach
(Springer Heidelberg, 2023) Fidan, Fatma Sener; Aydogan, Emel Kizilkaya; Uzal, Nigmet
Due to the rise in clothing consumption per person and growing consumer awareness of environmental issues with products, the textile industry must adopt new practices for improving sustainability. The current study thoroughly investigates the benefits of using organic cotton fiber instead of conventional cotton fiber. Because of the extensive use of natural resources in the production of cotton, the primary raw material for textiles, which accounts for the environmental effects of a pair of jeans, a life cycle assessment methodology was used to examine these effects in four different scenarios. The additional scenarios were chosen based on the user preferences for washing temperatures, drying methods, and the type of cotton fiber used in the product. The environmental impact categories of global warming potential, eutrophication potential terrestrial ecotoxicity potential, acidification potential, and freshwater ecotoxicity potential were analyzed by the CML-IA method. The life cycle assessment results revealed that the lowest environmental impacts were obtained for scenario 4 with 100% organic cotton fiber with an improvement of 87% in terrestrial ecotoxicity potential and 59% in freshwater ecotoxicity potential. All of the selected environmental impacts of a pair of jeans are reduced in all scenarios when organic cotton is used. Additionally, consumer habits had a significant impact on all impact categories. Using a drying machine instead of a line dryer during the use phase is just as important as the washing temperature. The environmental impact hotspots for a pair of jeans were revealed to be the eutrophication potential, acidification potential, and global warming potential categories during the use phase, and the terrestrial ecotoxicity potential and freshwater ecotoxicity potential categories during the fabric manufacturing including cotton cultivation. The use of organic cotton as a raw material in manufacturing processes, as well as consumer preferences for washing temperature and drying methods, appears to have significant environmental impacts on a pair of jeans' further sustainable life cycle.