https://hdl.handle.net/20.500.12294/2420 Fen Bilimleri Enstitüsüne ait öğrenci yayınları bu alt bölümde listelenir. Mon, 04 May 2026 07:18:03 GMT 2026-05-04T07:18:03Z https://hdl.handle.net/20.500.12294/1969 Production process evaluation and improvement by using the method of discrete event simulation Karaca, Tolga Kudret; Çakır, Volkan The label printing and packaging industry has a rapidly growing and evolving market in the world. The most important aim of the companies is to accomplish the demand and expectations of the customers in the market. Label printing houses have to improve their production processes to produce fast and good quality products. In this paper, system performance was analyzed and remedial solutions were sought for a company, which is active under variable demand conditions. Aim of this study is identifying bottlenecks, balancing production lines and improving system efficiency by using simulation. A conceptual model was created including two main production lines and a discrete event simulation model was created at Arena software. After validation and verification steps scenario analysis were conducted and solutions for production problems and improvement suggestions were made to the management of the company. © 2017 EUROSIS-ETI. All rights reserved. #nofulltext# --- Çakır, Volkan (Arel Author), Karaca, Tolga Kudret (Arel Graduate Student); 31st Annual European Simulation and Modelling Conference, ESM 2017 -- 25 October 2017 through 27 October 2017 -- Sun, 01 Jan 2017 00:00:00 GMT https://hdl.handle.net/20.500.12294/1969 2017-01-01T00:00:00Z https://hdl.handle.net/20.500.12294/1937 A system dynamics approach model for quitting smoking behaviour and an analysis in Turkey Hoşyılmaz, Uğur; Çakır, Volkan It is very important to understand the factors affecting tendency of smoking for healthcare and public policies. Smoking is a major risk factor for health. Smoking cigarettes kills more than alcohol, car accidents, HIV, guns and illegal drugs combined according to the American Cancer Society. In order to manage public policies for the success of smoking cessation, it is essential to understand how this behaviour can be affected and what the important factors are. Tobacco smoking habit is defined as a psychiatric disorder including cognitive, behavioural and physiological symptoms by American Psychiatric Association. Since it is defined as a behavioural disorder we need to make clear understanding of what stages exist and how can they be handled in this behavioural change. This study is done in order to demonstrate the quitting smoking behaviour with stages using System Dynamics (SD) methodology. The Theory of Planned Behaviour (TOPD) and The Stages of Change model (SoC) explains how human behaviour is guided. Different factors which affect quitting smoking behaviour are extracted from these theories. The proposed system dynamics model provides important findings about quitting smoking behaviour model. And these findings can guide the policymakers to improve the behavioural change in smoking addiction. © IEOM Society International. #nofulltext#; 2nd European International Conference on Industrial Engineering and Operations Management.IEOM 2018 -- 26 July 2018 through 27 July 2018 -- Mon, 01 Jan 2018 00:00:00 GMT https://hdl.handle.net/20.500.12294/1937 2018-01-01T00:00:00Z https://hdl.handle.net/20.500.12294/1936 Analysis of project profitability and schedule overruns using system dynamics, a case study of trigeneration system Elçi, Ali Fırat; Çakır, Volkan Combined heat and power systems also known as trigeneration and cogeneration systems are capable of providing electricity, heating and cooling powers using one fuel simultaneously. Natural gas, biogas and landfill gas can also be used as fuel for these systems. Natural gas is the most popular power source that is used in trigeneration systems and common fuel in the Turkish market due to its accessibility and sustainability. Trigeneration system projects are complex and require interdisciplinary engineering study and coordination. An active and effective project management is requirement because of high initial investment costs. In general, one can say that a project is successful if requirements are met on schedule within budget and delivers a good return on investment. In today's competitive market failures such as project delays or excessive budget use are not uncommon but costly. Though management of risk associated with these failures are the main concern of a successful project manager. In traditional project management, whole project consists of independent processes where no interaction exists. However, as projects get complicated and larger this assumption needs to be reconsidered. System dynamics approach can be an alternative solution by its ability in understanding interactions and its feedback structures. In this research, the factors that affect budget and timeliness of trigeneration system projects is analyzed using system dynamics. Alternative scenarios are developed and reduction of gap between planned and realized budget and schedule target are examined. It is showed that developed model can be used by project managers as a decision support system. © IEOM Society International. Çakır, Volkan (Arel Author), Elçi, Ali Fırat (Arel Graduate Student); 2nd European International Conference on Industrial Engineering and Operations Management.IEOM 2018 -- 26 July 2018 through 27 July 2018 -- Mon, 01 Jan 2018 00:00:00 GMT https://hdl.handle.net/20.500.12294/1936 2018-01-01T00:00:00Z https://hdl.handle.net/20.500.12294/1923 Blok zinciri teknolojisi ve yapay zeka algoritmalari ile bitcoin fiyat tahminleme Sakız, Burcu; Kutlugün, Esra One of the most well-known and popular crypto money, that is also a digital currency enabled in 2009, is Bitcoin. Over time, many alternatives to Bitcoin have been developed. The blockchain system, which is a very important technology for crypto money transfer, provides many different possibilities besides providing transaction from one point to another without any intermediary. Block chaining is a distributed, shared form of recording that facilitates the recording of assets and transactions in a network. In this study, after explaining the basic concepts behind distributed architecture and blockchain technology behind crypto money, artificial intelligence algorithms were exploited, and based on last three years values of bitcoin forecasting was performed for Bitcoin which has a huge market share in since nine years. © 2018 IEEE. Kutlugün, Esra (Arel Graduate Student); 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- Mon, 01 Jan 2018 00:00:00 GMT https://hdl.handle.net/20.500.12294/1923 2018-01-01T00:00:00Z