Yazar "Tekin, Piril" seçeneğine göre listele

Listeleniyor 1 - 3 / 3
  • [ X ]
    Öğe
    A Life Cycle Analysis of a Polyester-Wool Blended Fabric and Associated Carbon Emissions in the Textile Industry
    (Mdpi, 2024) Tekin, Piril; Alici, Hakan; Demirdelen, Tugce
    The effect of industrialization and technological developments and the rate of population growth have begun to disrupt the ecological balance in the world. A large share of the deterioration of this balance is due to the rapidly increasing energy demands of people. Fossil fuels and renewable energy sources are used to obtain the energy that is needed by human beings. Most of the world ' s energy needs are met by fossil fuels such as coal, oil, and natural gas. These resources, which we call fossil fuels, cause many parallel environmental problems, such as global warming, climate change, and carbon emissions, for the world and nature. The most affected by all these experiences, of course, is the entire production sector, which is dependent on energy. However, textile and apparel, which is a pioneer in taking steps towards harmonization with the Green Agreement, is one of the sectors that started the transition to green energy within the scope of the European Union and brands ' net-zero targets. Within the scope of the Green Agreement, Turkey has participated and started to work for a 70% carbon reduction, which is the target for 2030, and carbon neutrality, which is the target for 2050. Therefore, within the scope of these targets, the textile sector of cukurova Region, which has the highest export rate in Turkey, was chosen. Within the scope of this study, carbon emission, which is one of the global problems, was examined within the framework of the ISO 14067-ISO Product Based Carbon Footprint (CF) standard by examining the production of a textile company, and the results were analyzed in detail. The main innovation of this article is to follow all stages of the fabric called Tricia, which is the most produced product in the textile industry, from its entry as fiber to its exit as fabric in the factory, and to calculate and analyze the amount of carbon that is released into nature. The dynamic and experimental results showed that it was determined that 6.00 tons of carbon dioxide carbon were released in the time it took for the fabric to go to the sewing room as a fabric.
  • [ X ]
    Öğe
    Risk assessment decision matrix for emergency Room's Employee in a Turkey Case
    (IEOM Society, 2018) Kayadelen, A. Nilgun; Tekin, Piril
    The common definition used in the literature for the term "risk" is the probability of occurrence of an unwanted event/incident within a certain period of time. A comprehensive risk analysis is necessary for the identification of these unwanted events/occurrences, calculation of the severity degree of the concerned risk and determination of whether the risk is tolerable or not. While risk analysis is a must for all organizations, irrespective of the scale of organizations, the type of the enterprise is the determinant of the type of the risk analysis to be performed and accordingly the methodology to be used and development of the solutions for risks. In the case of healthcare organizations, risk analysis practices require special diligence, as it is very important for the health and safety of both patients and employees. For this reason, selection of the right methodology to be applied, correct identification of foreseen risks and correct categorization of these risks on the basis of their criticality degree are of paramount importance for hospital management. Under the scope of the present study, a risk assessment is conducted on the Emergency Room's (ER's) employee in a University Hospital of a University Hospital, in the guidance of Risk Assessment Matrix (L-Type Matrix) approach in the study seeking to serve to the above-mentioned purposes. © IEOM Society International.
  • [ X ]
    Öğe
    The Prediction Model of Characteristics for Wind Turbines Based on Meteorological Properties Using Neural Network Swarm Intelligence
    (Mdpi, 2019) Demirdelen, Tugce; Tekin, Piril; Aksu, Inayet Ozge; Ekinci, Firat
    In order to produce more efficient, sustainable-clean energy, accurate prediction of wind turbine design parameters provide to work the system efficiency at the maximum level. For this purpose, this paper appears with the aim of obtaining the optimum prediction of the turbine parameter efficiently. Firstly, the motivation to achieve an accurate wind turbine design is presented with the analysis of three different models based on artificial neural networks comparatively given for maximum energy production. It is followed by the implementation of wind turbine model and hybrid models developed by using both neural network and optimization models. In this study, the ANN-FA hybrid structure model is firstly used and also ANN coefficients are trained by FA to give a new approach in literature for wind turbine parameters' estimation. The main contribution of this paper is that seven important wind turbine parameters are predicted. Aiming to fill the mentioned research gap, this paper outlines combined forecasting turbine design approaches and presents wind turbine performance in detail. Furthermore, the present study also points out the possible further research directions of combined techniques so as to help researchers in the field develop more effective wind turbine design according to geographical conditions.