This page has only limited features, please log in for full access.
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.
Tugce Demirdelen; Pırıl Tekin; Inayet Ozge Aksu; Firat Ekinci. The Prediction Model of Characteristics for Wind Turbines Based on Meteorological Properties Using Neural Network Swarm Intelligence. Sustainability 2019, 11, 4803 .
AMA StyleTugce Demirdelen, Pırıl Tekin, Inayet Ozge Aksu, Firat Ekinci. The Prediction Model of Characteristics for Wind Turbines Based on Meteorological Properties Using Neural Network Swarm Intelligence. Sustainability. 2019; 11 (17):4803.
Chicago/Turabian StyleTugce Demirdelen; Pırıl Tekin; Inayet Ozge Aksu; Firat Ekinci. 2019. "The Prediction Model of Characteristics for Wind Turbines Based on Meteorological Properties Using Neural Network Swarm Intelligence." Sustainability 11, no. 17: 4803.
The aim of this paper is to mitigation of spoilage rates of perishable products by applying dynamic pricing strategies. The present study is conducted with a deterministic model approach in consideration of various factors, such as interaction between freshness/staleness degrees of different groups of products, elasticity of demand against price and sensitivity of demand towards freshness degree. Different effects of price discounts on customers' attitudes to purchase, contribution of these effects on total profit are found to be significant. Furthermore, in the proposed system, the wastage caused by stale products and recycle products returning to manufacturer for reprocessing, which are two important parameters affecting total profit margin, thus costs of partial returns are significantly reduced furthermore, the renewed dynamic pricing approach treated in the proposed system makes it possible to increase the product sales significantly. The price data is tested via new significant model using PSO and ANN. The results show that the hybrid algorithm gives more profitable and successful results.
Piril Tekin; Rizvan Erol. A new hybrid model for dynamic pricing strategies of perishable products. 2017 Seventh International Conference on Innovative Computing Technology (INTECH) 2017, 85 -89.
AMA StylePiril Tekin, Rizvan Erol. A new hybrid model for dynamic pricing strategies of perishable products. 2017 Seventh International Conference on Innovative Computing Technology (INTECH). 2017; ():85-89.
Chicago/Turabian StylePiril Tekin; Rizvan Erol. 2017. "A new hybrid model for dynamic pricing strategies of perishable products." 2017 Seventh International Conference on Innovative Computing Technology (INTECH) , no. : 85-89.
Perishable products run their life cycle in a short period of time due to the shortness of their shelf lives. Product efficiency falls when especially non-recyclable products are thrown away without being used. Furthermore, this kind of products that unnecessarily occupy shelves of supermarkets cause supermarkets to follow an insufficient stock management policy. Unconscious and unplanned use of our limited natural resources will deteriorate the product portfolio for future generations. Such unconscious production and consumption patterns will disrupt natural balance and damage sustainability of products. In addition to creating very high costs for producers, sellers and consumers alike, these unsold or stale products lead to environmental problems due to such pricing policies. In other words, although the products have to be thrown away without being sold is attributed by many managers to be attributable to the unplanned over-orders, the actual reason is something else. The real contributor of the problem is changing purchase attitudes of customers because of wrong pricing policies of wholesaler. In addition, limited resources are also consumed fast and in unnecessary amounts. The imbalance in respect to the sustainability of these products leads to increase in the production costs, procurement costs and failure to achieve balance among products to be kept in storage houses as some of the products occupy stocks unnecessarily. In the present study, a new pricing policy is developed for product stock whose shelf lives are about to expire and generally become waste to increase salability of these products in reference to fresher stocks of these products. The present study, which is designed to reduce the above-mentioned losses, will seek to minimize the cost of waste, maximize the profit earned by supermarkets from the product, maximize product utilization rates and ensure sustainability of products and stocks as well. Fulfillment of these objectives will increase productivity and enhance the significance of product efficiency and nature-friendly attitudes.
Pırıl Tekin; Rızvan Erol. A New Dynamic Pricing Model for the Effective Sustainability of Perishable Product Life Cycle. Sustainability 2017, 9, 1330 .
AMA StylePırıl Tekin, Rızvan Erol. A New Dynamic Pricing Model for the Effective Sustainability of Perishable Product Life Cycle. Sustainability. 2017; 9 (8):1330.
Chicago/Turabian StylePırıl Tekin; Rızvan Erol. 2017. "A New Dynamic Pricing Model for the Effective Sustainability of Perishable Product Life Cycle." Sustainability 9, no. 8: 1330.
Purpose: The main contribution of this paper is to generate an optimum solution for capacity planning and appointment scheduling issues, which are frequently encountered in clinical flows with various route and treatment periods at dental hospitals.Design/methodology/approach: It is essential to define the system well in order to ensure that the working staff and patients use their time very efficiently and that the process flows continuously. By having examined a sample healthcare system through the help of a study addressed in such context, studies on process improvement in line with the dissatisfactions of the working staff and patients have been carried out. Within the scope of the study, the operation of 7 Departments in a dental hospital undergoing a treatment process have been reviewed and examined. The problems encountered as result of the observations made are discussed in detail, and formerly and recently designed system performance analyses are conducted by having performed the respective process improvement studies. The relevant samplings of this study are modeled via the Arena Simulation Program. The data of the previous four months is used in the parameters, which are used through the modellings. The system data are entered by taking into account seasonal characteristics of the data.Findings: The analyses are made as a consequence of such study that has been addressed, it is established that the efficiency of the internal customers of the hospital increases substantially, and that the waiting durations of the dental patients decrease and in turn, the external customer satisfaction increases drastically.Research limitations/implications: Under the scope of the present study, 7 different treatment processes are analysed in a dental hospital in Cukurova Region with a significant patient potential. The treatment clinics present in the hospital are radiology, periodontology, surgery, treatment, orthodontics and prosthesis. These clinics run their own appointment and treatment system independently. Thus, the study has limited with five departments among 7.Originality/value: With this study, given the flow of different existing treatment processes belonging to patients are optimized, and also the continuity of the system is ensured by minimizing the patient waiting times within the existing system.
Piril Tekin; Rizvan Erol. The internal and external customer focused process improvement and the performance analysis studies in healthcare systems. Journal of Industrial Engineering and Management 2017, 10, 407 -430.
AMA StylePiril Tekin, Rizvan Erol. The internal and external customer focused process improvement and the performance analysis studies in healthcare systems. Journal of Industrial Engineering and Management. 2017; 10 (3):407-430.
Chicago/Turabian StylePiril Tekin; Rizvan Erol. 2017. "The internal and external customer focused process improvement and the performance analysis studies in healthcare systems." Journal of Industrial Engineering and Management 10, no. 3: 407-430.
The main objective of this study is to generate an optimum solution for capacity planning and appointment scheduling issues, which are frequently encountered in clinical flows with various route and treatment periods at dental hospitals. With this study, given the flow of different existing treatment processes belonging to patients are optimized, and also the continuity of the system is ensured by minimizing the patient waiting times within the existing system. There are many factors which affect the working performance of this designed health system. Regarding hospital management quality, the most important ones of these factors are accurate calculation of appointment capacities, and the assignment of proper staff number at the proper departments with optimum scheduling. These factors were addressed in this study, where the case study implemented at Cukurova University Dental Hospital, the largest dental hospital in Turkey's South Region, were analyzed in detail. It was determined that the system whose performance was designed has developed the most efficient solution. Furthermore, the system modelling was performed by using data received from the real hospital environment and its accuracy was tested by implementation of its effect in the real system. Patient waiting times encountered in the hospital were minimized, and employee productivity was enhanced with this study.
Piril Tekin; Rizvan Erol. Modelling and Analysis of Operation and Patient Appointment Systems: A Case Study at a Dental Hospital in Turkey. 2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation (UKSim) 2016, 203 -208.
AMA StylePiril Tekin, Rizvan Erol. Modelling and Analysis of Operation and Patient Appointment Systems: A Case Study at a Dental Hospital in Turkey. 2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation (UKSim). 2016; ():203-208.
Chicago/Turabian StylePiril Tekin; Rizvan Erol. 2016. "Modelling and Analysis of Operation and Patient Appointment Systems: A Case Study at a Dental Hospital in Turkey." 2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation (UKSim) , no. : 203-208.