Sürdürülebilir Kalkınma Amaçları
Yayınlar
- Kitap BölümüYalnız künye2020A fuzzy decision-making model for the key performance indicators of hospital service quality evaluation
Yucesan, Melih; Mete, Suleyman; Gul, Muhammet; Celik, Erkan
One of the major concerns of the healthcare industry throughout the world is to provide better hospital service quality. Management and delivery of hospital healthcare services are achieved in a competitive environment in Turkey. For this reason, to make better decisions, the services provided by the public and private hospitals should be monitored and evaluated according to the viewpoint of medical stakeholders. This chapter presents a cause-and-effect, decision-making model in evaluating hospital service quality criteria. Since the decision-making process involves the vagueness of human judgments, a combination of fuzzy sets and decisionmaking trial and evaluation laboratory (DEMATEL) is used. Results of the study demonstrate that medical equipment level of the hospital, the attitude of nurses and medical staff to patients, pharmacists' advice on medicine preservation, medical staff with professional abilities, outpatient waiting time for medical treatment, and number and quality of the bathrooms available have more impact on the entire hospital service quality. In conclusion, the proposed approach will contribute to better providing of healthcare services at a higher quality level.
AtıfScopus5OpenAlex5
İncele - MakaleAçık Erişim2020Scopus SJRQ1Robotic disassembly line balancing problem: A mathematical model and ant colony optimization approach
Çil, Zeynel Abidin; Mete, Suleyman; Serin, Faruk
The use of robots is significantly increasing day by day in manufacturing systems, and especially improving the efficiency of the lines. Robots can be used to complete disassembly tasks, and each of the robots can need different operation times to perform the tasks. In this paper, the balancing of the robotic disassembly line problem has been studied to develop efficient solution techniques. Firstly, a mixed-integer linear mathematical model is proposed to determine and solve the problem optimally. A case study from literature is addressed to assess and show the efficiency and effectiveness of the model to minimize cycle time. Secondly, a heuristic algorithm based on ant colony optimization is also proposed to discover a solution for especially the large-size test problems due to the complexity of the problem. The performance of the proposed heuristic algorithm is verified and compared with the different heuristic on data sets. The computational results indicate that the proposed mathematical model and the algorithms are promising for the small and large-size test problems, respectively. Finally, it should be stated that robots have great potential to use in the area of disassembly line and useful solutions provide according to test results.
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İncele - BildiriYalnız künye2020A risk assessment approach using both stochastic data and subjective judgments
Mete, Suleyman; Oz, Nurdan Ece; Gul, Muhammet; Serin, Faruk; Celik, Erkan; Kahraman, C.; Cevik Onar, S.; Oztaysi, B.; Sari, I.U.; Cebi, S.
Risk assessment describes the overall process regarding identifying hazards and risk factors that have the potential to cause harm, analyzing and evaluating the risk associated with that hazard and determining appropriate ways to eliminate the hazard or control the risk. In the literature, lots of approaches are proposed to prioritize hazards and associated risks quantitatively. Fuzzy sets-based multi-criteria decision-making approaches are forefront that they have the ability in expressing the risks verbally based on decision-maker’s opinions and judgments. MCDA-based risk assessment approaches explain different types of uncertainties, which are generally modeled using stochastic analysis or fuzzy sets. The stochastic analysis is more suitable in modelling the probabilistic uncertainty. Therefore, in this study, a risk assessment approach using both stochastic data and subjective judgments is proposed, and a case study is also performed in a construction project. The VIKOR method is extended and a new risk assessment approach is developed where part of the data is stochastic. A three-year data is used to determine a fitted probability distribution of respected frequency. Evaluation of risks with respect to severity and probability parameters are then made by subjective judgments. In conclusion, a risk prioritization and potential action plan suggestion is performed.
AtıfScopus2OpenAlex3İncele - MakaleAçık Erişim2019Public transportation graph: A graph theoretical model of public transportation network for efficient trip planning
Serin, Faruk; Mete, Suleyman
The presentation and usage of traditional graphs is very important for effective and fast solution of routing in public transportation. However, the traditional graph approach is unable to consider the passenger requests such as total travel time, minimum number of transfer and total distance of travel without pre-processing and/or post-processing. Moreover, the vehicles are not represented on traditional graph. In this paper, after analyzing the different kind of graphs, we propose a novel graph named as public transportation graph. The proposed graph models the public transportation system and considers distance, waiting time, travel time, self-transportation and number of transfers simultaneously for efficient trip planning. In this way, passenger requests can be met without pre-processing and post-processing. In addition, the vehicles are also considered and demonstrated in the proposed graph.
AtıfWoS1OpenAlex4TR Dizin1
İncele - MakaleYalnız künye2019Scopus SJRQ2Risk assessment for clearing and grading process of a natural gas pipeline project: An extended TOPSIS model with Pythagorean fuzzy sets for prioritizing hazards
Oz, Nurdan Ece; Mete, Suleyman; Serin, Faruk; Gul, Muhammet
A natural gas pipeline project is a broad construction system consisting of both offshore and onshore section, which aims to supply the natural gas to one country to another. In such these projects, main focus of the works should cover workplace, environment, health, and safety of workers and employers. To achieve this, a new occupational health and safety (OHS) risk assessment is necessary for reducing the negative effects of emerged risks. In this article, a fuzzy-based risk model is developed for prioritizing primary and residual risk. A two-dimensional (2D) risk matrix method is initially performed and the Pythagorean fuzzy technique for order preference by similarity to ideal solution (PFTOPSIS) method is then used to prioritize previously identified hazards. For the prioritization of primary and residual risks, hazards are assessed against two parameters (probability and severity) of 2D risk matrix. Unlike previous risk assessment studies, PFTOPSIS is applied for the first time. The fuzzy model is applied to a case study for clearing and grading process of a natural gas pipeline project. A sensitivity analysis is also performed on parameter weights in order to validate the model.
AtıfScopus93WoS80OpenAlex97İncele - MakaleYalnız künye2019Scopus SJRQ1A decision-support system based on Pythagorean fuzzy VIKOR for occupational risk assessment of a natural gas pipeline construction
Mete, Suleyman; Serin, Faruk; Oz, Nurdan Ece; Gul, Muhammet
Natural gas pipeline construction projects are major projects between countries that include onshore and offshore sections. Aim of these projects is to supply the natural gas from one place to another. Safety of workplace, environment and employers is also another important argument. In this respect, it is essential to conduct an occupational risk assessment (ORA) study to eliminate the risks that may arise around the pipeline. Application of multi-criteria decision analysis (MCDA) methods for the ORA has shown great increase recently. Also, developing a decision support system (DSS) which is easy to use and capable of extracting results enables decision makers to assess health and safety risks. Therefore, (i) A DSS based on Pythagorean fuzzy VIKOR (PFVIKOR) in ORA literature is developed for the first time; (ii) A case study is employed to risk assessment for trenchless crossings installation by auger boring process of the pipeline project; (iii) A sensitivity analysis is performed in the results of PFVIKOR-based DSS; and (iv) Two additional risk parameters called sensitivity to PPE non-utilization and undetectability are considered in ORA process apart from the classical risk assessment parameters of severity and probability. Developing such a DSS and applying it for risk assessment in a natural gas pipeline construction will contribute stakeholders in the energy industry.
AtıfScopus89WoS67OpenAlex83İncele - MakaleYalnız künye2019Scopus SJRQ1Supply-driven rebalancing of disassembly lines: A novel mathematical model approach
Mete, Suleyman; Çil, Zeynel Abidin; Celik, Erkan; Ozceylan, Eren
In recent years, the interest of disassembly line has increased owing to the economic reasons and increase of environmental awareness. The balancing of the disassembly line is one of the factors affecting directly the performance of the process. Companies with a line used effectively can gain many advantages in terms of economic aspect and it facilitates competition the companies with others. Moreover, uncertainties end-of-life products characteristics and quantity of supply/demand causes reassigned of task and altering cycle time. Rebalancing of disassembly line is required in this situation. In this study, a novel mixed integer programming model is proposed. Firstly, disassembly line balance is created, and then according to the given new supply, tasks are reselected and reassigned to the workstations. A real case study is presented. The generated test problems are also analyzed using proposed mathematical model. Through the analysis of rebalancing the existing disassembly line, it has been identified that an existing balance might have been changed to accommodate changes in the desired output rate in order to cope up with the variation of the cycle time.
AtıfScopus31WoS27OpenAlex31İncele - MakaleYalnız künye2019Scopus SJRQ2Assessing occupational risks in pipeline construction using FMEA-based AHP-MOORA integrated approach under Pythagorean fuzzy environment
Mete, Suleyman
The aim of natural gas pipeline projects is generally to make it possible to transfer the natural gas produced from one place to another. There are various safety risks for these broad construction systems. Therefore, to reduce the negative effects of emerged risks, a new risk assessment approach for occupational health and safety (OHS) is needed. In this paper, FMEA-based AHP-MOORA integrated approach under Pythagorean fuzzy sets is proposed for assessing occupational risks in a natural gas pipeline construction project. A case study for concrete coating process of natural gas pipeline project is employed to show the feasibility and effectiveness of the proposed integrated approach. A comparative study, correlation analysis, and sensitivity analysis are also presented to approve the novel risk assessment approach. In conclusion, the integrated approach gives more reasonable results for evaluating the occupational risks in project of pipeline construction using the advantage of Pythagorean fuzzy sets that reflects uncertainty in more suitable way.
AtıfScopus122WoS103OpenAlex124İncele - Derleme MakaleAçık Erişim2019Stochastic multi-criteria decision-making: an overview to methods and applications
Celik, Erkan; Gul, Muhammet; Yucesan, Melih; Mete, Suleyman
Background: The alternatives selection problem with multi-criteria in stochastic form variables is called as stochastic multi-criteria decision-making. The stochasticity of the criteria is considered using stochastic dominance, prospect theory, and regret theory. Main text: In this paper, a total 61 papers are reviewed and analyzed based on method(s) used in stochastic multi-criteria decision-making problem, method used in stochasticity, specific objective, application area, and so on classification. All papers with respect to classification aspects are examined their real or empirical applications. Moreover, the studies are statistically investigated to present the latest trends of stochastic multi-criteria decision-making. Conclusions: This detailed review study ensures a comprehension for researchers on stochastic multi-criteria decision-making in respect of showing up-to-date literature and potential research areas to be concentrated in the future. It is observed that the stochastic multi-criteria decision-making problem has an attractive approach by researchers.
AtıfScopus19WoS15OpenAlex19İncele - MakaleAçık Erişim2019Scopus SJRQ3Optimization of medical waste routing problem: The case of TRB1 region in Turkey
Mete, Suleyman; Serin, Faruk
A fundamental problem concerning medical waste disposal is the evaluation of the real and potential risks arising from waste with the focus on the risk of infection. Therefore, the optimization of medical waste routing from collection to disposal center can minimize the risk of infection. The routing of medical waste considers significant to determine potential routes and select the route with minimum distance. The management of the medical waste is important decision for environmental sustainability and includes the collection, transportation and disposal of these materials. In this paper, a geographic information system (GIS) solution approach is proposed to determine the best location of disposal center. Proposed approach is applied to medical waste transportation between 167 health institutions (collection centers) and predetermined 5 disposal centers through TRB1 region in Turkey, which consist of Malatya, Elazığ, Bingöl and Tunceli provinces. The results of case study are examined and suggestions for future research are provided.
AtıfScopus7OpenAlex7İncele - 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 - MakaleAçık Erişim2018Forward supply Chain network design problem: Heuristic approaches
Koc, Cagri; Özceylan, Eren; Kesen, Saadettin Erhan; Çil, Zeynel Abidin; Mete, Suleyman
Determining positions and counting of actors, amount of product flowbetween and decreasing transportation costs are handled as a networkdesign problem in supply chain management. Supply chain networkdesign (SCND) problem belongs to the class of NP-hard problems. It hastherefore appealed to a number of researchers’ close attention.However, existing literature lacks of common benchmark instances forforward SCND problems so as to make a fair comparison betweendeveloped and applied heuristic approaches. To this end, 450 newbenchmark instances ranging from small to large size for forward SCNDproblems with two, three and four-echelon are generated and amathematical model for each of the problems is formulated. Due to thecomplexity issues, we develop two heuristic solution approaches, geneticalgorithm (GA) and hybrid heuristic algorithm (HHA), and we applythem to the large pool of benchmark instances. Comparativeexperiments show that both the GA and HHA can yield feasible solutionsin much less computational time and, in particular, outperforms CPLEXregarding the solution quality as the number of echelon grows.
AtıfOpenAlex4TR Dizin2İncele - MakaleAçık Erişim2018Scopus SJRQ3Location and coverage analysis of bike-sharing stations in university campus
Mete, Suleyman; Cil, Zeynel Abidin; Özceylan, Eren
Background: Bike-sharing programmes have become popular in a large number of cities in order to facilitate bicycle use. Determining the location of bike sharing stations is vital to success of these programmes. Objectives: In this paper, a case study is applied to the Gaziantep University campus in order to find possible locations of the stations for users (students). The purpose is to minimize the total walking distance. Methods/Approach: Set and maximal covering mathematical models are considered to decide on coverage capability of determined 20 demand points and 20 potential bike stations. Then, the mathematical models of P-center and P-median are used to build possible stations and to allocate demand points to the opened stations. Finally, an undesirable facility location model is used to find the bike stations, which have the maximum distance from demand nodes, and to eliminate them. Results: In computational results, it is clearly seen that the proposed approaches set the potential bike station covering all demand points. They also provide different solutions for the campus planners. Conclusions: The methodology outlined in this study can provide university administrators with a useful insight into locations of stations, and in this way, it contributes significantly to future planning of bike-sharing systems.
AtıfScopus40WoS27OpenAlex38İncele - BildiriYalnız künye2017A heuristic approach for joint design of assembly and disassembly line balancing problem
Mete, Suleyman; Çil, Zeynel Abidin; Özceylan, Eren
Balancing assembly and disassembly on parallel line together will positively affect to remanufacture production systems. In this study, two lines, which is one for assembly and other for disassembly, are considered as parallel line configuration. Parallelization of lines helps decrease the need for workforce significantly. Therefore, we propose heuristic approach based on ant colony optimization (ACO) for solving the balancing parallel line with minimizing number of workstations.
AtıfScopus2OpenAlex3İncele - MakaleYalnız künye2013Scopus SJRQ2MULTI OBJECTIVE GENERALIZED RESOURCE CONSTRAINED TWO SIDED ASSEMBLY LINE BALANCING PROBLEM AND COMPUTATIONAL ANALAYSIS
Mete, Suleyman; Agpak, Kursad
Assembly of large size products like bus, truck and automobile can perform both sides of assembly line. In such cases, both sides (right and left) of the line are used to achieve for the assembly operation. These types of the lines are called as two sided assembly lines. When large size products are produced, sometimes they require a specific machine or a qualified staff to use this machine. This condition also exposes the problem of resource constraint. Therefore, in this study, a mathematical model for generalized resource constraint two sided assembly line balancing problem is presented, based on literature models and computational analysis is performed for multi-objective situation. Proposed model is run and analyzed over several known test problems by considering three objective functions (Minimization number of station, number of position and resource cost).
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