Sürdürülebilir Kalkınma Amaçları
Yayınlar
- MakaleAçık Erişim2025Scopus SJRQ1Selection of the central composting facility for organic wastes through the Bayesian best worst method and Geographic information system incorporation: The case of Istanbul
Güler, Mustafa; Samastı, Mesut; Yücesan, Melih; Gül, Muhammet; Çelik, Erkan; Ciner, Miraç Nur; Algorabi, Ömer
The rapid increase in municipal solid waste (MSW) generation, driven by population growth and unplanned urbanization, has made the location of organic waste collection and disposal facilities a critical issue for metropolitan cities. Improper waste management practices threaten environmental sustainability, human health, and urban futures. This study applies multicriteria decision-making (MCDM) methods to identify the optimal placement for a central composting facility in Istanbul. A novel MCDM mechanism was developed, building on existing methods and addressing a gap in the literature. While determining the criteria, academic studies on this subject were researched in depth and the criteria used in these studies were brought together to obtain 28 criteria. The study assessed 28 criteria using the Bayesian Best-Worst Method (BWM) to determine their relative importance. These weights were then integrated into a Geographic Information System (GIS) to produce a suitability map, highlighting the most appropriate locations for the facility. Based on this analysis, the Çatalca Karacabey region was identified as the optimal site, ensuring reduced environmental impact and improved efficiency in organic waste management. The study contributes both theoretically and practically to the field, offering a robust framework for sustainable waste facility siting and providing actionable insights for urban governance. The study provides valuable insights for facility siting and urban governance, while highlighting areas for future research.
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İncele - MakaleYalnız künye2019Scopus SJRQ2An efficient algorithm for U-type assembly line re-balancing problem with stochastic task times
Serin, Faruk; Mete, Süleyman; Çelik, Erkan
Purpose: Changing the product characteristics and demand quantity resulting from the variability of the modern market leads to re-assigned tasks and changing the cycle time on the production line. Therefore, companies need re-balancing of their assembly line instead of balancing. The purpose of this paper is to propose an efficient algorithm approach for U-type assembly line re-balancing problem using stochastic task times. Design/methodology/approach: In this paper, a genetic algorithm is proposed to solve approach for U-type assembly line re-balancing problem using stochastic task times. Findings: The performance of the genetic algorithm is tested on a wide variety of data sets from literature. The task times are assumed normal distribution. The objective is to minimize total re-balancing cost, which consists of workstation cost, operating cost and task transposition cost. The test results show that proposed genetic algorithm approach for U-type assembly line re-balancing problem performs well in terms of minimizing total re-balancing cost. Practical implications: Demand variation is considered for stochastic U-type re balancing problem. Demand change also affects cycle time of the line. Hence, the stochastic U-type re-balancing problem under four different cycle times are analyzed to present practical case. Originality/value: As per the authors’ knowledge, it is the first time that genetic algorithm is applied to stochastic U-type re balancing problem. The large size data set is generated to analyze performance of genetic algorithm. The results of proposed algorithm are compared with ant colony optimization algorithm.
AtıfScopus19WoS17OpenAlex20İncele - MakaleAçık Erişim2018Scopus SJRQ2A fuzzy AHP and electre method for selecting stabilizing device in ship industry
Demirel, Hakan; Balin, Abit; Çelik, Erkan; Alarçin, Fuat
Roll stabilizer systems are studied for different types of ships by many researchers. It is well known that roll motion is caused by external disturbances (wave,wind etc) and large roll motion can cause capsizing easily. In addition, undesirable roll motion effect badly crew performance and passenger comfort. So, roll reduction has an important role for all types of ships. In our study, we proposed a fuzzy AHP (Analytic Hierarchy Process) and ELECTRE (Elemination and Choice Translating Reality English) method for selecting the most effective roll stabilizing system for a trawler type fishing vessel. Alternatives and criteria in relation to the stabilizers are determined by experts’ experiences and literature review. This paper intends to give a comprehensive procedure for determining the most suitable roll motion stabilizing system of trawler for safety and efficiency fishing in the open literature.
AtıfScopus25WoS20OpenAlex27İncele - MakaleYalnız künye2017Afet operasyon yönetiminde ınsani yardım lojistiği için kapsamlı bir litera tür incelemesi
Gumus, Alev Taskin; Çelik, Erkan
Based on social and economic factors, humanitarian relief logistics (HRL) in disaster operations management (DOM) issues have attracted attention among both academia and practitioners. Hence, comprehensive literature review of recent and state of the art papers is vital to draw framework of the past, and to shed light on future directions. ln this paper, state of the art literature review is presented for optimization and decision science to HRL activities in DOM. total of 220 papers published between January 2007 and May 2015 are selected and reviewed. ln particular, the facility location, inventory management, relief distribution planning, debris cleaning and recovery operations, decision support systems, and other operations in accordance with the relevant HRL activities in DOM are investigated. Finally, list of research gap and further research are identified to clarify and to suggest future research opportunities.
- BildiriYalnız künye2012PERFORMANCE EVALUATION OF TURKISH RETAIL FIRMS USING THE FUZZY AHP, PROMETHEE, ELECTRE AND VIKOR METHODS
Bölükbas, Ufuk; Çelik, Erkan; Güneri, Ali Fuat; Kahraman, C; Kerre, EE; Bozbura, FT
The performance evaluation of firms determines capabilities of firms to compete in the sector and has a critical importance for the development of the sector. In this study, a fuzzy multi-criteria decision model is proposed to evaluate the performances of retail firms. The eight Turkish retail firms are analyzed and firms are evaluated in terms of ten different financial ratios in six separate groups. Fuzzy Analytic Hierarchy Process (FAHP), Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), Elimination Et Choix Traduisant la Realit (ELECTRE) and Multicriteria Optimization and Compromise Solution (VIKOR) methods are integrated in the proposed model. A hierarchical model of financial performance evaluation is structured by the decision makers. FAHP is used to determine the weights of the criteria. These criteria weights and financial ratio values are input to the PROMETHEE, ELECTRE and VIKOR method to rank the firms. The rankings of methods are compared to each other's in the conclusion.
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