Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(8)
- Yucesan, Melih(5)
- Ak, M. Fatih(2)
- Celik, Erkan(2)
- Aydin, Nezir(1)
- Başhan, Veysi(1)
- Coşkun Karcı(1)
- Demirel, Hakan(1)
- Derse, Onur(1)
- Gumus, Alev Taskin(1)
- Göçmen Polat, Elifcan(1)
- Gül, Muhammet(1)
- Halit Serdar Saner(1)
- Kerre, EE(1)
- Koehl, L(1)
- Lo, Huai-Wei(1)
- Lu, J(1)
- López-Meza, Pedro(1)
- Martinez, L(1)
- Mete, Suleyman(1)
- Navarro-Jiménez, Eduardo(1)
- Ortiz-Barrios, Miguel(1)
- Polat, Elifcan Göçmen(1)
- Saner, Halit Serdar(1)
- Serin, Faruk(1)
- Yücesan, Melih(1)
- Zeng, X(1)
Yayınlar
- MakaleAçık Erişim2025Municipal 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.
AtıfScopus2OpenAlex3TR Dizin1
İncele - Yüksek Lisans TeziAçık Erişim2023Üretim tesislerinin risk analizi için katmanlı BWM ve TOPSIS tabanlı bir yaklaşımın geliştirilmesi ve sektörde bir uygulama
Coşkun Karcı
Sürdürülebilir bir üretim ve ekonomi için işyerlerinde uygun makine, ekipman ve iş gücünün yanı sıra standartlar çerçevesinde iş sağlığı ve güvenliği (İSG) ilkeleri de uygulanmaktadır. Bu nedenle mesleki risk değerlendirmesi (ORA) imalat endüstrileri için önemlidir. ORA 'da risklerin önceliklendirilmesine karar verirken, riski tanımlayan parametrelerin farklı olası durumlarda nasıl değişebileceğini analize eklemek, karar vermenin sağlamlığını olumlu yönde etkiler. Dolayısıyla bu çalışmanın temel motivasyonu, risk parametrelerinin önem düzeylerinde gelecekte meydana gelebilecek değişiklikleri ele alabilecek ve risk değerlendirme sürecindeki belirsizlikleri en aza indirebilecek bir ORA yaklaşımı önermektir. ORA'da risk parametrelerinin önem ağırlıklarının belirlenmesinde en iyi-kötü yöntemiyle (BWM) katmanlaşma kavramı kullanılmaktadır. Ayrıca BWM' nin Bayesyen versiyonu, bilgi kaybını azaltmak amacıyla birden fazla karar verme uzmanının değerlendirmelerini dikkate almak için kullanılır. Özetle, Katmanlı Bayesyen BWM' ye (SBBWM) dayalı bir hesaplama prosedürü izlenmektedir. Bayesyen BWM ve katmanlaşma felsefesinin birleştirilmesi literatürde henüz çalışılmamıştır. Çalışmada her bir tehlikenin öncelik puanları, ideal çözüme yakınlık mantığına göre çalışan, sıralama tabanlı bir MCDM yöntemi olan TOPSIS Sort yöntemi ile belirlenmektedir. Böylece her bir tehlikenin öncelik puanı ve sırası belirlenirken bu riskin sınıfı da tespit edilmiştir. Önerilen yaklaşım, un üretim sürecinin üretim, depolama, işleme ve laboratuvar süreçlerinde karşılaşılan otuz altı riski değerlendirmek için uygulandı. Ayrıca her bir risk için alınacak kontrol tedbirleri de belirlendi. Metodolojik olarak sonuçların farklı koşullarda nasıl değiştiğini ortaya koymak için çeşitli senaryo analizleri ve duyarlılık çalışmaları yapılmıştır. Önerilen yaklaşım, üretim tesisleri için geleneksel yöntemlere göre daha kapsamlı bir prosedür sunması ve geleneksel yöntemlerin eksikliklerini kapatması bu açıdan faydalıdır.
- MakaleAçık Erişim2023Scopus SJRQ1A comparative framework for criticality assessment of strategic raw materials in Turkey
Göçmen Polat, Elifcan; Yücesan, Melih; Gül, Muhammet
The rapid development of innovative technologies, population growth, shifting resource management patterns, and decarbonization challenges are expected to increase the demand for raw materials labeled as critical in the following years. The increasing concerns have led to evaluate the critical raw materials (CRMs) with high economic importance and supply risk. In this context, this paper aims to develop a conceptual methodology to identify CRMs in Turkey. The methodology integrates a multi-criteria decision-making method (MCDM) to provide the raw material criticality matrix regarding various criteria, the EU (European Union) method, which represents supply risk and economic importance indicators, and the time series analysis method, in which dynamic evaluation of materials over time instead of the static indicators. We first provide a Bayesian Best-Worst method (B-BWM) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) based model for the criticality matrix, which enables evaluations of participated experts to be combined to reveal the weights of the criteria and sub-criteria from a probabilistic point of view without loss of knowledge. The main and sub-criteria include supply risk and economic importance, which are frequently studied in the literature, but also environment, price, secondary production, and socio-economic indicators are evaluated in the criticality matrix. Then, exponential smoothing forecast, one of the Time Series Analysis models, which determine the element criticality in the perspective of future years with the data of import figures of Turkey, is superior to the other models. Finally, with some modifications, the EU criticality methodology is used to quantify the raw materials regarding each material associated with the sector applications and their value-added and supply disruptions. Thus, a comprehensive criticality list integrating the results of the three mentioned methods is important because Turkey's raw materials characterize many sectors. The findings should also interest practitioners and researchers as the detailed assessment of raw material criticality ensures a sufficient database for future studies.
AtıfScopus24WoS14
İncele - MakaleAçık Erişim2022Scopus SJRQ1A Bayesian BWM and VIKOR-based model for assessing hospital preparedness in the face of disasters
Saner, Halit Serdar; Yucesan, Melih; Gul, Muhammet
Hospitals are the first point of contact for people in the face of disasters that interfere with the daily functioning of life and endanger health and social life. All preparations should be made considering the worst possible conditions and the provided service should continue without interruption. In this study, a multi-criteria decision-making model was developed to evaluate disaster preparedness of hospitals. This decision model includes Bayesian best–worst method (BBWM), the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and technique for order preference by similarity to ideal solution (TOPSIS) methods. With the proposed decision model, six main criteria and 34 sub-criteria related to disaster preparedness of hospitals were considered. The criteria and sub-criteria evaluated in pairwise comparison manner by the experts were weighted with BBWM. These weight values and the data obtained from the six Turkish hospitals were combined to provide inputs for VIKOR and TOPSIS. In addition, a comparative study and sensitivity analysis were carried out using weight vectors obtained by different tools. BBWM application results show that the “Personnel” criterion was determined as the most important criterion with an importance value of 26%. This criterion is followed by “Equipment” with 25%, “Transportation” with 14%, “Hospital building” and “Communication” with 12%, and “Flexibility” with 11%. Hospital-2 was determined as the most prepared hospital for disasters as a result of VIKOR application. The VIKOR Q value of this hospital was obtained as 0.000. According to the results of the comparative study, Hospital-2 was determined as the most disaster-ready hospital in all six different scenarios. This hospital is followed by Hospital-4 (Q = 0.5661) and Hospital-5 (Q = 0.7464). The remaining rankings were Hospital-6, Hospital-3 and Hospital-1. The solidity of the results was checked with TOPSIS. Based on TOPSIS application results, Hospital-2 was again found the most-ready hospital. The usage of BBWM in this study enabled the expert group’s views to be combined without loss of information and to determine the criteria and sub-criteria weights with less pairwise comparisons in a probabilistic perspective. Via the “Credal ranking”, which is the contribution of BBWM to the literature, the interpretation of the hierarchy between each criterion has been performed more precisely.
AtıfScopus48WoS37OpenAlex51
İncele - MakaleYalnız künye2022Scopus SJRQ1Performance evaluation of Turkish Universities by an integrated Bayesian BWM-TOPSIS model
Gul, Muhammet; Yucesan, Melih
This study aims to develop a university ranking model with the aid of performance measures in the “University monitoring and evaluation reports-2019” published by the Council of Higher Education Institution in Turkey. In this context, some of the performance criteria stated in these reports are filtered and 34 sub-criteria under five main criteria are weighted using the Bayesian Best-Worst Method (BBWM). Then, 189 listed public and private universities are ranked using the TOPSIS multicriteria decision-making (MCDM) method. We have adopted the MCDM concept because many evaluation criteria/sub-criteria and alternative universities are taken into account. For this study, we apply an integrated MCDM model. First, we use BBWM to accomplish the first goal and adopt the TOPSIS method for the second purpose, using the BBWM results. Our purpose in using BBWM is due to its probabilistic structure that reduces the loss of information when handling group decisions. In this context, the evaluations of 11 academic experts are combined and a solid weighting is made by obtaining the credal rankings of performance criteria. Using TOPSIS is its logic of proximity to ideal and the ability to evaluate many alternatives. In the context of the study, state-private university-based, nomenclature of territorial units for statistics-2 (NUTS-2)-based and classical geographical regions-based rankings are also discussed. The study seeks to help universities optimize their performance efficiently. The results of the study can be adapted as a reference for other educational institutions and public institutions in their efforts to evaluate, improve their performance and form various policies.
AtıfScopus79WoS61OpenAlex79İncele - Yüksek Lisans TeziAçık Erişim2021Hastanelerin afete hazırlığına yönelik Bayesyen BWM ve VIKOR temelli bütünsel bir model önerisi
Halit Serdar Saner
Hayatın günlük işleyişine engel olan ve insanların hem sağlıklarını hem de sosyal yaşantılarını tehlikeye atan felaketler karşısında güvenle başvurmak isteyecekleri yerlerdir hastaneler. Oluşabilecek en kötü şartları göz önünde bulundurarak tüm hazırlıklar yapılmalı ve verilecek hizmet aksamadan devam etmelidir. Bu çalışmada, ele alınan altı hastanenin afet sonrası karşılaşılan acil durumlara hazırbulunuşluk düzeyleri incelenmiştir. Öncelikle hastanelerin hizmetlerine sorunsuz devam etmesi için var olması düşünülen 6 ana 34 alt kriter belirlenmiştir. Alanlarında uzman 5 karar vericiyle bu kriterlerin ağırlıkları hesaplanmış ve ülkenin farklı bölgelerinden seçilen 6 hastanenin belirlenen bu kıstasları ne ölçüde sağladığı yöneticileriyle yapılan görüşmelerle öğrenilmiştir. Elde edilen tüm bu veriler Bayesyen BWM, VIKOR ve TOPSIS ÇKKV metotları kullanılarak geliştirilen bir karar modeliyle değerlendirilmiştir. Uzmanlar tarafından ikili kıyas mantığıyla değerlendirilen kriter ve alt kriterlerin ağırlıkları Bayesyen BWM ile hesaplanmıştır. Bu sonuçlara göre "Personel" en önemli kriter olarak belirlenmiştir. Onu çok az bir farkla "Ekipman" takip etmektedir. Bu da personel ve ekipmanın acil durumlarda birbirlerinden ayrı düşünülemeyeceğinin göstergesidir. Daha sonra Bayesyen BWM ile hesaplanan ağırlık değerleri, hastanelerden alınan verilerle birleştirilerek VIKOR için girdi sağlanmıştır. VIKOR ile elde edilen sonuçlar neticesinde afetlere en hazır hastanenin Hastane-2 olduğu tespit edilmiştir. Bu hastaneye ait VIKOR Q değeri 0,000 olarak elde edilmiştir. Bu hastaneyi Hastane-4 (Q=0,5661) ve Hastane-5 (Q=0,7464) izlemektedir. Kalan sıralama ise Hastane-6, Hastane-3 ve Hastane-1 şeklinde olmuştur. Sonuçların tutarlılığı TOPSIS ile değerlendirilerek kontrol edilmiş ve Hastane-2 yine en hazır hastane olarak öne çıkmıştır. Bu çalışmada Bayesyen BWM'nin kullanılması, uzman grubun görüşlerinin bilgi kaybı olmadan birleştirilmesini ve olasılıksal bakışla kriter ve alt kriter ağırlıklarının daha az ikili karşılaştırma yükü ile belirlenmesini sağlamıştır. Bayesyen BWM'nin literatüre katkısı olan "Kredal Sıralama" ile her bir kriter arasındaki hiyerarşinin yorumlanması daha hassas bir şekilde yapılmıştır.
- MakaleAçık Erişim2021Fermatean fuzzy TOPSIS-based approach for occupational risk assessment in manufacturing
Gul, Muhammet; Lo, Huai-Wei; Yucesan, Melih
The importance of risk assessment in the context of occupational health and safety by manufacturing operators strengthens their hands in solving the problems they may encounter in business processes related to health and safety. One of the most important phases of conducting an exhaustive occupational risk assessment is to analyze potential hazards and associated risks quantitatively. Since manufacturing is one of the industries that require workers to be highly exposed to work, creating a safer environment to reduce occupational injuries is an important task. This study proposes a novel fuzzy risk assessment approach developed by integrating Fermatean fuzzy sets (FFSs) and technique for order preference by similarity to ideal solution (TOPSIS) method for ranking potential hazards in manufacturing. FFSs are a new version of fuzzy set theory that covers the intuitionistic fuzzy sets and Pythagorean fuzzy sets. This version of the fuzzy set is crucial in the decision-making process to handle uncertain information more easily and reflect uncertainty better. A linguistic scale under Fermatean fuzzy documentation has also been developed for experts/decision makers to disclose their judgments easily. Occupational risk analysts can benefit from this approach since FFSs are used for the first time in occupational risk assessment, and the approach is presented in integration with TOPSIS. The proposed approach is applied in the aluminum plate-manufacturing process risk assessment. In the conclusion of the implementation, risks arising in the production are prioritized. In addition, this study made comparisons with other fuzzy methods to demonstrate the proposed approach’s difference and practicality. This study’s results can support practitioners and risk analysts in formulating the improvement measures to increase the safety of the work environment further.
AtıfScopus105WoS86OpenAlex108İncele - MakaleYalnız künye2021Scopus SJRQ2A modified failure modes and effects analysis using interval-valued spherical fuzzy extension of TOPSIS method: case study in a marble manufacturing facility
Gul, Muhammet; Ak, M. Fatih
Failure modes and effects analysis (FMEA) is a commonly used step-by-step approach to assess potential failures existing in a product or process design. In this paper, a modified FMEA model based on an interval-valued spherical fuzzy extension of technique for order preference by similarity to ideal solution (IVSF-TOPSIS) is proposed to cope with drawbacks of the traditional risk priority number (RPN) computation. Spherical fuzzy sets are the integration of Pythagorean fuzzy sets and neutrosophic sets. They provide more freedom to experts in decision making by including the degree of membership, non-membership, and hesitation of fuzzy sets. Therefore, initially, TOPSIS is merged with a special branch of spherical sets “interval-valued spherical fuzzy sets” to determine priorities of emerged failures. As a novelty to traditional RPN of FMEA, three parameters called cost, prevention, and effectiveness in addition to the existed parameters of severity, occurrence and detection are attached to the proposed approach. Weights of these parameters are determined via an interval-valued spherical weighted arithmetic mean operator (IVSWAM). As a demonstration, a case study in a marble manufacturing facility is provided to show the applicability of the novel model. Results show that the most crucial failure modes concern with the maintenance and repairing works of the factory and the lack of technical periodic checks of lifting vehicles regarding “block area: crane” failures. Some comparative and validation studies are also performed to test the solidity of the approach.
AtıfScopus108WoS93OpenAlex103İncele - MakaleAçık Erişim2020Scopus SJRQ1Evaluation of hospital disaster preparedness by a multi-criteria decision making approach: The case of Turkish hospitals
Ortiz-Barrios, Miguel; Gul, Muhammet; López-Meza, Pedro; Yucesan, Melih; Navarro-Jiménez, Eduardo
Considering the unexpected emergence of natural and man-made disasters over the world and Turkey, the importance of preparedness of hospitals, which are the first reference points for people to get healthcare services, becomes clear. Determining the level of disaster preparedness of hospitals is an important and necessary issue. This is because identifying hospitals with low level of preparedness is crucial for disaster preparedness planning. In this study, a hybrid fuzzy decision making model was proposed to evaluate the disaster preparedness of hospitals. This model was developed using fuzzy analytic hierarchy process (FAHP)-fuzzy decision making trial and evaluation laboratory (FDEMATEL)-technique for order preference by similarity to ideal solutions (TOPSIS) techniques and aimed to determine a ranking for hospital disaster preparedness. FAHP is used to determine weights of six main criteria (including hospital buildings, equipment, communication, transportation, personnel, flexibility) and a total of thirty-six sub-criteria regarding disaster preparedness. At the same time, FDEMATEL is applied to uncover the interdependence between criteria and sub-criteria. Finally, TOPSIS is used to obtain ranking of hospitals. To provide inputs for TOPSIS implementation, some key performance indicators are established and related data is gathered by the aid of experts from the assessed hospitals. A case study considering 4 hospitals from the Turkish healthcare sector was used to demonstrate the proposed approach. The results evidenced that Personnel is the most important factor (global weight = 0.280) when evaluating the hospital preparedness while Flexibility has the greatest prominence (c + r = 23.09).
AtıfScopus87WoS69OpenAlex97İncele - MakaleYalnız künye2020Scopus SJRQ2An FMEA-based TOPSIS approach under single valued neutrosophic sets for maritime risk evaluation: the case of ship navigation safety
Başhan, Veysi; Demirel, Hakan; Gul, Muhammet
As in terrestrial facilities, safety is one of the most important issue in ships. Vessels navigating in many parts of the world face many different, tough and dangerous navigational risks. In this context, twenty-three fundamental risks which are frequently encountered in ship navigation were considered in this study and examined by an FMEA-based TOPSIS approach under single valued neutrosophic sets. Because of the lack of data in the literature, the opinions of the experts (Masters) who have many years of experience in the sector were taken. As a result of the study, extreme weather conditions, injury of crew, loss of input of sensory equipment (depth, gyro, speed etc.), struck by ropes, exposure to high speed machineries under high pressures, loss of maneuverability are very important among these risks. Considering these risks, corrective-preventive action plans and managerial implications for ship navigation have been presented. Consequently, the results of this study have an important warning and solution recommendation regarding ship navigation risks.
AtıfScopus123WoS96OpenAlex113İncele - MakaleAçık Erişim2019AHP–TOPSIS integration extended with Pythagorean fuzzy sets for information security risk analysis
Ak, M. Fatih; Gul, Muhammet
Risk analysis (RA) contains several methodologies that object to ensure the protection and safety of occupational stakeholders. Multi attribute decision-making (MADM) is one of the most important RA methodologies that is applied to several areas from manufacturing to information technology. With the widespread use of computer networks and the Internet, information security has become very important. Information security is vital as institutions are mostly dependent on information, technology, and systems. This requires a comprehensive and effective implementation of information security RA. Analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) are commonly used MADM methods and recently used for RA. In this study, a new RA methodology is proposed based on AHP–TOPSIS integration extended with Pythagorean fuzzy sets. AHP strengthened by interval-valued Pythagorean fuzzy numbers is used to weigh risk parameters with expert judgment. Then, TOPSIS with Pythagorean fuzzy numbers is used to prioritize previously identified risks. A comparison of the proposed approach with three approaches (classical RA method, Pythagorean fuzzy VIKOR and Pythagorean fuzzy MOORA) is also provided. To illustrate the feasibility and practicality of the proposed approach, a case study for information security RA in corrugated cardboard sector is executed.
AtıfScopus152WoS128OpenAlex167İncele - MakaleYayıncıda açık erişim2019Scopus SJRQ3An integrated best-worst and interval type-2 fuzzy TOPSIS methodology for green supplier selection
Yucesan, Melih; Mete, Suleyman; Serin, Faruk; Celik, Erkan; Gul, Muhammet
Supplier selection is one of the most important multi-criteria decision-making (MCDM) problems for decision-makers in the competitive market. Today's organizations are seeking new ways to reduce the negative effects they have on the environment and to achieve a greener system. Currently, the concept of green supplier selection has gained great importance for its ability to incorporate environmental or green criteria into classical supplier selection practices. Therefore, in this study, a multi-phase MCDM model based on the best-worst method (BWM) and the interval type-2 fuzzy technique for order preference by similarity to ideal solution (IT2F TOPSIS) is proposed. A case study in a plastic injection molding facility in Turkey was carried out to show the applicability of the proposed integrated methodology. The paper offers insights into decision-making, methodology, and managerial implications. Results of the case study are examined and suggestions for future research are provided.
AtıfScopus93WoS85OpenAlex98İncele - BildiriYalnız künye2016AN INTUITIONISTIC FUZZY APPROACH FOR EVALUATING SERVICE QUALITY OF PUBLIC TRANSPORTATION SYSTEMS
Celik, Erkan; Gumus, Alev Taskin; Aydin, Nezir; Zeng, X; Lu, J; Kerre, EE; Martinez, L; Koehl, L
Service quality evaluation has become a main area of interest for practitioners, managers, researchers and policy makers, who have inclined on the passengers' service. In this paper, intuitionistic fuzzy TOPSIS approach is applied to evaluate service quality of rail transit systems of Istanbul. A total of 6553 surveys are conducted and analyzed in seven rail lines with respect to 20 service qualities.
AtıfWoS2İncele