Sürdürülebilir Kalkınma Amaçları

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• MakaleYalnız künye2026Scopus SJRQ4/r/munzur/1459
  Smart logistics with a maturity assessment perspective

  Göçmen Polat, Elifcan; Derse, Onur

  The logistics sector is influenced by digitalisation and technological advancement in improving sustainability and efficiency. Logistics companies, which are highly capable of incorporating innovative technologies into their business flows, have made profound impacts, ultimately leading to a transformation in logistics services. In this context, this study presents the current and target maturity levels to make an international logistics company smarter and provides recommendations as an improvement road map for the logistics sector. Within the scope of this research, nine dimensions and 36 maturity items of the smart logistics (SL) concept are discussed to assess the maturity levels using the weighted maturity score calculation model (WMSC), in which evaluation of all maturity items using the capability maturity model (CMM) maturity levels and calculation of the criteria weights using fuzzy DEMATEL (F-DEMATEL) is integrated. Computational results show that warehouse management systems and material flow control systems have lower maturity levels. Thus, product picking by voice, integrating the warehouse management system, ensures real-time updates and data integration, reducing stockouts and overstock.

  İncele
• Kitap BölümüYalnız künye2026/r/munzur/593
  Current Trends and Future Perspectives for Post-Disaster Assembly Areas

  Polat, Elifcan Göçmen; Polat, Erkan

  Disasters bring about significant material damage and social disruptions, affecting entire communities or specific groups. These events can halt daily life and human activities, often exceeding the handling capacity of the affected population. For effective disaster management, all stages-including prevention, mitigation, preparation, response, and recovery must be spatially planned. The identification of post-disaster assembly areas is critically important for minimizing loss of life and property. This study examines theoretical and practical research on assembly areas from the literature. In determining suitable assembly areas, factors such as population density, accessibility, proximity to hazard sources, land type, and access to essential services and methods as Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) provide valuable framework for addressing assembly area selection challenges. Findings from the literature indicate that the assembly areas should be reassessed in the context of evolving needs and regulatory requirements.

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• MakaleYayıncıda açık erişim2025Scopus SJRQ4/r/munzur/2097
  The role and challenges of clean energy technologies and embedded critical raw materials in the energy sustainability

  Polat, Elifcan Göçmen; Polat, Erkan

  Given the increasing pattern of sustainability challenges such as climate change, carbon footprint, biodiversity loss and its sensitivity to energy policies, developing a holistic perspective is essential to enhance the further integration of energy sustainability into environmental issues. As the green transition to energy sustainability, it requires mineral-intensive energy technologies. Mineral requirements are expected to increase at unprecedented rates and could bring about the supply risks. One of the fundamental strategies is including the critical raw materials (CRMs) as variables in the energy sustainability, as the dependencies on CRMs for clean energy technologies. To address the issues related to energy sustainability and raw materials, Hesitant Fuzzy AHP (HF-AHP) is used to assess the clean energy technologies related to raw materials with the simultaneous consideration of economic, environmental, technological, and social pillars of sustainability perspective. The results are compared with the Best-Worst Method (BWM) to validate the obtained solutions. Computational results reveal that technological and environmental metrics are evaluated as the most critical dimensions. Mineral intensity as a technological metric and emissions as an environmental dimension are the most important sub criteria to evaluate the energy technologies. In Türkiye, while the hydraulic energy has the highest share due to its installed capacity and accessibility, solar panels and wind turbines hold high promise to combat climate change, obtained results also address the EVs and battery storage technologies. Ultimately, this enables all stakeholders to understand that involving of raw materials into energy sustainability could guide the compatibility policies between raw materials and sustainability energy models.

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• MakaleAçık Erişim2025/r/munzur/1367
  Municipal Solid Waste Landfill Site Selection: Integrating Multi-Criteria Decision-Making Methods and Mathematical Modelling-A Case Study

  Derse, Onur; Polat, Elifcan Göçmen

  Increasing solid waste amount arisen from the urbanization and population growth is an inevitable outcome in many countries. Solid waste has become one of the serious environmental problems and peculiar solid waste pathways are required to prevent contamination of environment. The optimal planning of the waste management should comprise the operations such as minimization, collection, landfilling and recycling of the waste. Also, location selection for landfill of municipal solid waste (MSW) is an effective step even essential, due to growing area shortage for waste disposal. In this respect, landfilling of MSW has been addressed in Tunceli, Turkey using an integrated approach. The Fuzzy Analytical Hierarchy Process (Fuzzy-AHP), a multi-criteria decision-making (MCDM) method, is utilized to decide the weights of the environmental, technical, economic, and social criteria regarding uncertainty. Then, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is conducted to rank the alternative landfill districts. Finally, the sub locations of selected district are mathematical modelled regarding transport cost, investment cost and demand with an integer linear programming model. The computational results indicate the proposed method effectiveness with a systematic approach by integrating MCDM and mathematical modelling.

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  AtıfScopus2·OpenAlex3·TR Dizin1

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• MakaleAçık Erişim2025Scopus SJRQ1/r/munzur/1268
  Spring-Based Soil–Structure Interaction Modeling of Pile–Abutment Joints in Short-Span Integral Abutment Bridges with LR and RSM

  Polat, Erkan; Göçmen Polat, Elifcan

  Integral abutment bridges (IABs) are increasingly adopted in transportation infrastructure due to their durability, reduced maintenance needs, and cost-effectiveness compared to conventional bridges. However, their reliable performance under live loads is strongly influenced by the nonlinear soil–structure interaction (SSI) at the pile–abutment joint, which remains challenging to quantify using conventional analysis methods. This study develops simplified spring-based models to capture the SSI behavior of pile–abutment joints in short-span IABs. Predictive equations for joint rotation, deflection, moment, and shear are formulated using Linear Regression (LR) and Response Surface Methodology (RSM). Unlike prior studies relying solely on FEM or traditional p–y curves, the novelty of this work lies in deriving regression-based spring constants calibrated against FEM analyses, which can be directly implemented in standard structural software. This approach significantly reduces computational demands while maintaining predictive accuracy, enabling efficient assessment of pile contributions and global bridge response. Validation against finite element method (FEM) results confirms the reliability of the simplified models, with RSM outperforming LR in representing nonlinear parameter interactions.

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  AtıfScopus2·WoS2·OpenAlex3

  İncele
• MakaleAçık Erişim2025Scopus SJRQ4/r/munzur/1178
  EVALUATION OF IMPLEMENTATION STRATEGIES IN THE CONTEXT OF ZERO-WASTE CITY AND CIRCULAR ECONOMY CONCEPT

  Derse, Onur; Polat, Elifcan Göçmen

  In recent years, there is a growing interest for waste systems in many countries around the world due to inevitable consequences of major environmental concerns. Urbanization, consumption styles, rapid developments of technologies have increased the consumption inevitably brings about the waste generation, which significantly poses risks to the environment. Although most papers have focused on waste management problems, there is a great gap of evaluation of implementation strategies for the zero-waste city and circular economy concepts. The goal “zero-waste” is strategically achieved with enriched engineering methods including all stakeholders to overcome the challenging waste issues. In this context, this study presents a systematic approach of implementing the policies and strategies focused on the most essential dimensions analysis associated with zero-waste and circular economy based on the PESTEL (political, economic, social, technological, environmental, and legal). In the study, Best-Worst Method (BWM) is first provided to evaluate a range of zero-waste implementation strategies which are essential for planners and policymakers. In addition, computational results are compared with the Stepwise Weight Assessment Ratio Analysis (SWARA), and the Fuzzy Analytical Hierarchy Process (F-AHP) methods to validate the results, and the results of the methods were found to be consistent. Environmental, economic and technological dimensions were obtained as the most influential strategies. According to the results of BWM and Fuzzy AHP methods, the four most important sub-strategies are S16 (Implementing a closed loop chain), S13 (Promoting sustainability), S5 (Investing in waste management infrastructure) and S12 (Green energy technologies). It is seen that these strategies are mostly environmental. According to the SWARA method, the most important sub-strategies under the economic dimension are S5, S4 (Providing economic incentives), and S6 (Development of green finance initiatives). The findings should also encourage the practitioners and researchers, as the detailed evaluation of strategies in terms of the zero-waste and circular economy provides a database to transform current cities into zero waste cities.

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  AtıfScopus3·WoS1·OpenAlex2

  İncele
• MakaleAçık Erişim2024/r/munzur/4367
  ASSESSMENT OF URBAN FLOOD RISKS OF THE CITIES USING ENTROPY-VIKOR METHODS IN TURKIYE

  Derse, Onur; Polat, Elifcan Gocmen

  In recent years, there is growing interest for evaluation of urban flood risks of cities over the past decade due to rapid urbanization and climate change. The optimal flood risk assessment is strategically achieved not only with classical risk modelling approaches but also with holistic and comprehensive framework. This paper focuses on a detailed flood assessment providing risk database for policymakers and urban planners to decide the flood prone areas in Turkey. In this context, the Entropy based VIKOR (VIseKriterijumska Optimizacija Kompromisno Resenje) was provided to evaluate a range of flood risk criteria named number of floods, population density and number of buildings, flood protection area which are under the concept of risk dimension including hazard, exposure and vulnerability aspects. Computational results demonstrate that the provinces of & Scedil;anl & imath;urfa, Ordu, Zonguldak and Van are assigned with higher urban risk values, respectively and the ranking of the cities was presented with different q values. The findings should support practitioners and researchers for land use planning and risk reduction works as the detailed flood risk evaluation was presented in terms of the flood management.

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  AtıfWoS4·OpenAlex5

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• MakaleAçık Erişim2024/r/munzur/6287
  İkiz dönüşüm kapsamında kritik hammadde ve teknolojilerinin zaman serileri analizi

  Göçmen, Elifcan; Say, Halise Miray; Öner, Mahir

  Kritik hammaddeler, sürdürülebilir ekonomi için oldukça önemli ve tedarikleriyle bağlantılı olarak yüksek risk taşıyan hammaddelerdir. Yeşil dönüşüm ve teknolojinin dönüşümünü birleştiren ikiz dönüşümde kullanılan teknolojilerde kritik hammaddelerin kullanımı, bu hammaddelerin önemini ve arz riskini arttırmaktadır. Bu kapsamda, ülkede bu dönüşüme zemin hazırlayan teknolojilerin, uygulamaların ve politikaların incelenmesi ve zaman serileri analiziyle incelenmesi amaçlanmaktadır. Yeşil dönüşüm için ülkemizde önemli potansiyeli bulunan ve kritik hammaddelerin kullanıldığı çoğu teknolojinin de kaynağı olan güneş, rüzgâr, hidrolik, jeotermal, termik enerjinin geçmiş verilerinin analizi ve gelecek projeksiyonu sunulmaktadır. Çalışmada kullanılan zaman serileri analizi yöntemleri, basit hareketli ortalama, ağırlıklı hareketli ortalama ve üstel hareketli ortalama yöntemleridir. Üstel hareketli ortalama, güncel verilere daha fazla ağırlık verdiği için, tahmin başarısı ve hata düzeyleri konusunda daha olumlu sonuçlar vermektedir. Böylelikle, her enerji kaynağının gelecek trendleri, bu enerji kaynaklarıyla bağlantılı teknolojilerde kullanılan hammaddelerin talep düzeyi ve bu hammaddelerin kritikliğini de ortaya koyacaktır.

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• Kitap BölümüYalnız künye2024/r/munzur/1986
  Assessment of critical raw materials by addressing sustainable development goals using fuzzy MCDM approach

  Göçmen-Polat, Elifcan

  Critical raw materials (CRMs), constituting the first step of the industry, are vital to meet sustainable development. With increasing digital technology and green transition efforts under the scope of twin transformation, demand for CRMs has increased, and supply interruption is expected in the future. All countries should plan the supply chain of CRMs in the context of the green and digital transition. The sustainable development goals (SDGs) have presented a reference based on sustainability metrics. In the chapter, hesitant-fuzzy analytical hierarchy process-based order preference technique based on similarity to ideal solutions (HF-AHP based TOPSIS) has been developed to evaluate the critical raw materials in the context of sustainability. Most relevant goals with the CRMs are obtained as SDG 1, SDG 3, SDG 5, SDG 6, SDG 7, SDG 8, SDG 9, SDG 11, SDG 17. The findings show how raw materials have important strengths and weaknesses in sustainable development. Policies recommended for the most important CRMs are effective road maps in the context of twin transformation.

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  AtıfScopus4·OpenAlex6

  İncele
• MakaleYalnız künye2024Scopus SJRQ1/r/munzur/1909
  Predicting and optimizing maximum flexural strength of planar composite plate shear walls – concrete filled with the application of LR and RSM

  Polat, Erkan; Polat, Elifcan Göçmen

  Traditional theoretical models, while conservative, overlook the complex, nonlinear interactions between material and geometric parameters that influence wall flexural strength. Additionally, the extent to which these models maintain their conservative assumptions across varying parameters remains uncertain. This study aims to develop advanced predictive models for the flexural strength of planar composite plate shear walls—concrete filled (C-PSW/CF) by employing Linear Regression (LR) and Response Surface Methodology (RSM). Central Composite Design (CCD) was utilized to design numerical experiments to analyze the effects of varying parameters, including steel plate yield strength, concrete compressive strength, wall depth, depth-to-thickness ratio, and reinforcement ratio. A validated complex finite element modeling (FEM) procedure was used to analyze numerical experiments involving varying parameters of the selected variables. Both LR and RSM were applied to the generated dataset to formulate predictive equations for the maximum moment capacity of walls. Interaction plots were developed to reveal the nonlinear relationships between the variables and identify the most effective parameters influencing the wall strength. Comparisons between theoretical predictions, RSM, and LR models revealed that RSM provided the most accurate predictions, closely aligning with FEM results and effectively capturing the nonlinear interactions between wall parameters. The findings of this paper contribute to the development of more practical, accurate and optimized design methods for C-PSW/CF, ultimately improving both structural safety and efficiency.

  AtıfScopus10·WoS8·OpenAlex10

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