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Öğe An Artificial Neural Network Model Supported With Multi Criteria Decision Making Approaches For Maintenance Planning In Hydroelectrıc Power Plants(POLISH MAINTENANCE SOC, 2020) Ozcan, Evrencan; Danisan, Tugba; Yumusak, Rabia; Eren, TamerPower plants are the large-scale production facilities with the main purpose of realizing uninterrupted, reliable, efficient, economic and environmentally friendly energy generation. Maintenance is one of the critical factors in achieving these comprehensive goals, which are called as sustainable energy supply. The maintenance processes carried out in order to ensure sustainable energy supply in the power plants should be managed due to the costs arising from time requirement, the use of material and labor, and the loss of generation. In this respect, it is critical that the fault dates are forecasted, and maintenance is performed without failure in power plants consisting of thousands of equipment. In this context in this study, the maintenance planning problem for equipment with high criticality level is handled in one of the large-scale hydroelectric power plants that meet the quintile of Turkey's energy demand as of the end of 2018. In the first stage, the evaluation criteria determined by the power plant experts are weighted by the Analytical Hierarchy Process (AHP), which is an accepted method in the literature, in order to determine the criticality levels of the equipment in terms of power plant at the next stage. In order to obtain the final priority ranking of the equipment in terms of power plant within the scope of these weights, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used because of its advantages compared to other outranking algorithms. As a result of this solution, for the 14 main equipment groups with the highest criticality level determined on the basis of the power plant, periods between two breakdowns are estimated, and maintenance planning is performed based on these periods. In the estimation phase, an artificial neural network (ANN) model has been established by using 11-years fault data for selected equipment groups and the probable fault dates are estimated by considering a production facility as a system without considering the sector for the first time in the literature. With the plan including the maintenance activities that will be carried out before the determined breakdown dates, increasing the generation efficiency, extending the economic life of the power plant, minimizing the generation costs, maximizing the plant availability rate and maximizing profit are aimed. The maintenance plan is implemented for 2 years in the power plant and the unit shutdowns resulting from the selected equipment groups are not met and the mentioned goals are reached.Öğe Comparison and selection of patient follow-up systems for covid-19 pandemic patients(Springer, 2022) Eren, Tamer; Danisan, Tugba; Deringoz, Aysegul; Aksut, GulerPeople have struggled with many infectious diseases throughout history. Today, the Covid-19 is being fought. One of the most important things for people who have or are at risk of getting Covid-19 is social isolation. Many countries resort to different ways to ensure social isolation. For this, remote patient monitoring systems have been developed. In this study, the problem of the selection of Covid-19 remote patient monitoring systems is discussed. Seven Wearable Health Technology (WHT) products were evaluated with a total of 10 criteria, including the important symptoms used in the patient tracking systems. The weights of 10 criteria determined by the Analytical Hierarchy Process (AHP) method were calculated, and these weights were used in the solution of The Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), and Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) methods. WHT products were compared. As a result, the most appropriate patient follow-up system was determined. This study generates differences in terms of evaluating seven different products and ten criteria in total with MCDM methods. A more comprehensive evaluation has been made in the literature than the studies in this field.Öğe Goal Programming Approach For The Radiology Technician Scheduling Problem(Yildiz Technical Univ, 2019) Ozcan, Evrencan; Danisan, Tugba; Yumusak, Rabia; Gur, Seyda; Eren, TamerPopulation growth is led to an increase in demand in the health sector. Health services need to be met at the maximum level in the face of increasing demand. The number of patients per each health personnel in Turkey is too much. Considering this situation, it is seen that ensuring patient satisfaction is directly proportional to the satisfaction of the personnel. For this reason, some studies such as the positioning of polyclinics and hospitals encountered in health services, capacity planning and demand estimations, as well as the studies about the creation of study schedules of health personnel are also gained importance. In this study, it is aimed to provide the personnel satisfaction as much as possible. The Law No. 3153 on Radiology, Radionomy and Electrical Therapy and Other Physiotherapy Institutions published by the Ministry of Health of the Republic of Turkey, dated 19/4/1937, as well as the requirements of the Annex-1 of 21/1/2010, is considered. The scheduling problem for eight radiology technicians working in a private hospital in Ankara is discussed. A mathematical model is proposed using the goal programming method in order to assign the technicians to the four shifts as equally as possible. According to the researches, this is the first study which has the feature of radiology technicians and by considering government and hospital conditions as well as with staff requests, by application area.Öğe Personnel Selection for the Urban Search and Rescue Team in an Organization Applying for the AFAD Accreditation System(Gazi Univ, 2024) Danisan, Tugba; Eren, TamerUrban search and rescue (USAR) involve studies to locate and remove people trapped in any structure. USAR teams are involved in the execution of search and rescue (SAR) activities in collapsed structures when a disaster or emergency occurs. Due to the difficulty of technical search and rescue operations, specially trained personnel can participate. Applicants for USAR in Turkiye are included in the AFAD Accreditation System according to the Regulation on the Determination of Service Standards and Accreditation Principles for Disaster and Emergency Management Presidency. This study was conducted to evaluate the personnel to be included in the USAR team in a non-governmental organization that applied to the AFAD Accreditation System, which was put into effect in 2019. Seven criteria were determined in the study. The Analytical Hierarchy Process (AHP) method calculated the criteria weights. In addition, 14 personnel, who received various training and had different experiences, were evaluated with the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE). As a result of the study, the personnel who will take place in the USAR team were selected among the organization's volunteers that applied for accreditation. As far as is known, this study stands out in terms of being the first study in this field and making suggestions for evaluating the competencies of USAR personnel in disaster management.Öğe Personnel Selection with Multi-Criteria Decision Making Methods in the Ready-to-Wear Sector(Univ Osijek, Tech Fac, 2022) Danisan, Tugba; Ozcan, Evrencan; Eren, TamerThe selection of personnel to be recruited for businesses is a significant problem. This study discusses the problem of selecting a person to be hired to use a machine with various specific features in a textile factory. It was aimed to select the most suitable candidate for the job. MCDM methods were used to make an analytical selection away from subjectivity. In this study, real-life business procedures were performed. The Weighted Scoring (WS) method was used for preselection. Important criteria weights for the factory were determined with the Analytical Hierarchy Process (AHP) method. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) methods were used to make a correct selection among the candidates. The most suitable candidate for the job was selected with the methodology followed. The study differs from other studies in the literature with the evaluation criteria, combination of methods, the methodology followed.
