Browsing by Author "Ceyhan, Ege"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Placeholder
    Master ThesisPublicationMetadata only
    An application for a particleboard plant: Web-based decision support system for quality prediction and digital transformation
    Ceyhan, Ege; Albey, Erinç; Albey, Erinç; Önal, Mehmet; Başoğlu, İ.; Department of Industrial Engineering; Ceyhan, Ege
    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 quality analysis of the products produced. These samples are put to the test for analysis and observe whether the quality metrics are satisfying the needs or not. Sampling can be done after a set of production is completed. Laboratory tests samples for at least three hours. If the results of the test are out of acceptable limits, then the facility changes the production parameters, waits for new production output to gain new samples, tests new samples again. While quality testing procedures are running, the products that do not satisfy quality limits, cannot be delivered to customers, which results in crucial capacity loss. In this study a decision support system is developed to measure real-time effects of changes of production parameters on quality metrics by using machine learning based prediction models with live production data collected from production line. Decision support system developed in this study enables to predict three different quality metrics while margin of error is realized around 5%, on the average.
  • Placeholder
    Conference paperPublicationMetadata only
    Optimizing steering of roaming traffic with a-number billing under a rolling horizon policy
    (Springer, 2020) Şahin, Ahmet; Demirel, Kenan Cem; Ceyhan, Ege; Albey, Erinç; Industrial Engineering; ALBEY, Erinç; Şahin, Ahmet; Demirel, Kenan Cem; Ceyhan, Ege
    In this study, we focus on single service steering international roaming traffic (SIRT) problem by considering telecommunication operators’ agreements and “a-number billing” while keeping service quality above a certain threshold. The steering decision is made considering the origin and destination of the call, total volume requirement of bilateral agreements, quality threshold and price quote of partner operators. We develop an optimization model that considers these requirements while satisfying projected demand requirements. We suggest a framework based on rolling horizon mechanism for demand forecasting and policy updating. The results show that the steering cost is decreased approximately 11% with deterministic demand and 10% with forecasted demand compared to the base cost value provided by the company. Also, the model provides approximately 26% decrease in unsatisfied committed volume in agreements.