Browsing Master's Theses by Author "Albey, Erinç"
Now showing items 1-20 of 23
-
An applicable approach to automate customer complaints
Customer complaint management is critical and time-consuming process for institutions. For an effective management and increased customer satisfaction, developing an instant and automated reply mechanism is essential. This ... -
An application for a particleboard plant: Web-based decision support system for quality prediction and digital transformation
As it is same for most of the production procedures, a certain quality level must be derived in the particle board production. In the particleboard production, a series of samples taken from the production line for the ... -
An application of digital transformation : predictive maintenance scheduling
Demirel, Kenan Cem (2021-01-18)Current technological developments in the industry and literature with the fourth revolution of industry make it possible to collect accurate data from production processes and develop data-based models to increase production ... -
Avoiding short shot quality failure in injection molding machine
The Plastic injection molding machine (IMM) has been one of the most preferred manufacturing methods since its invention and continues its development in parallel with the advancing technology. The demand for faster, better ... -
Decomposing time series data via mixed integer programming
Gözüyılmaz, Şeyma (2020-01-13)Decomposing time series into seasonality, trend, and remainder reveals underlying insights to be used in forecasting and anomaly detection. Although there are several decomposition methods, no method guarantees all of the ... -
A decomposition-based metaheuristic approach for solving the rapid needs assessment routing problem
Mıhçıoğlu, Yurtsev (2021-01-18)This study proposes a decomposition-based tabu search algorithm for a multi-cover routing problem (MCRP), which aims to classify and evaluate the impacts of the disaster in different sites and the needs of different community ... -
Deep reinforcement learning approach for trading automation in the stock market
Deep Reinforcement Learning (DRL) algorithms can scale to previously intractable problems. The automation of profit generation in the stock market is possible using DRL, by combining the financial assets price "prediction" ... -
Finding the determinants of player market value in association football using FIFA video game data
Futbol, son onyıllarda dünyadaki en popüler sporlardan biri haline gelmiştir. Artan popülerliği ile birlikte futbol, büyüyen milyar dolarlık bir pazar halini almıştır. Büyük Avrupa liglerindeki üst düzey oyuncuların ... -
Heuristic approaches for assembly line balancing and competent worker assignment problem (ALWABP)
Çengil, Muhammet Fatih (2018-01)In this study, we focus on assembly line balancing and worker assignment problem, where multiple production lines are executed by a shared pool of workers with varying skills and having absenteeism issues. We developed two ... -
An integrated post-disaster assessment routing problem for collecting damage information with drones
In this study, we focus on post-disaster damage assessment operations supported by a set of drones when the disaster-affected area is divided into grids, and grids are clustered based on their attributes. We propose a ... -
A mathematical model for customer lifetime value based offer management
Can, Zehra (2018-01)Customers with prepaid lines possess higher attrition risk compared to postpaid customers since prepaid customers do not sign long-term obligatory contracts and may churn anytime. For this reason, mobile operators have to ... -
Minimizing warpage using taguchian methodology and robust optimization
Okçuoğlu, Serkan (2018-04)Injection moulding, which is considered to be one of the most efficient plastic raw material processing methods in plastic industry regarding to its high production rate when manufacturing parts with complex geometries are ... -
Modern data management strategies for machine learning tasks: A sports analytics use case on cloud platform
There is no doubt that data is the most valuable asset today. The efforts of enterprises in digital transformation and creating a data-driven culture are the most concrete indicators of this. Nowadays, where data transforms ... -
A multistage scenario optimization procedure for capacity planning in TV production final assembly lines
Vestel Electronics is a large-scale TV producer that has an important share in the European television market. High End Factory, where Vestel assembles 20 different TVs in size, consists of 14 final assembly lines. High ... -
Neural network estimatorsfor optimal tour lengths of TSP instances with arbitrary node distributions
To achieve operational efficiency in logistics, we need to solve complex routing problems. Due to their complexity, these problems are often solved sequentially, i.e., using cluster-first route-second (CFRS) type frameworks. ... -
Nonidentical parallel machine scheduling with time-dependent deterioration of jobs
We consider scheduling of deteriorating jobs on nonidentical parallel machines where the objective is to minimize mean flow time while ensuring the average value (i.e., quality) of processed jobs on machines exceeds a ... -
Project management methodologies for new product development
Kıranç, Mert (2018-05)This thesis intends to create an integrated project management methodology for the ones who focus on new product development projects. In order to build an integrated methodology, four different management systems are ... -
Robust scheduling for parallel machines with sequence dependent setup times and uncertain breakdowns
Top, Ayşenur Betül (2017-08)In this study, machine scheduling activities in the plastic injection production facility of a company competing in electronic sector is investigated. The company designs the products and picks order from customers for ... -
Rolling look-ahead approaches for optimal classification trees
Classification trees have gained tremendous attention in machine learning applications due to their inherently interpretable nature. Current state-of-the-art formulations for learning optimal binary classification trees ... -
Sentiment analysis on social networks using machine learning and audio processing
Duşçu, Mihail (2019-08-20)Polarity classification is one of the most fundamental problems in sentiment analysis. Our study strives to develop a new definition, extraction technique and utilization of features based on the audio data for polarity ...
Share this page