Browsing by Author "Albey, Erinç"
Now showing items 21-40 of 47
-
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 ... -
International roaming traffic optimization with call quality
Şahin, Ahmet; Demirel, Kenan Cem; Albey, Erinç; Gürsun, Gonca (SciTePress, 2019)In this study we focus on a Steering International Roaming Traffic (SIRT) problem with single service that concerns a telecommunication’s operators’ agreements with other operators in order to enable subscribers access ... -
Load dependent lead time modelling: a robust optimization approach
Albey, Erinç; Yanıkoğlu, İhsan; Uzsoy, R. (IEEE, 2018-01-04)Although production planning models using nonlinear CFs have shown promising results for semiconductor wafer fabrication facilities, the lack of an effective methodology for estimating the CFs is a significant obstacle to ... -
A Markovian approach for time series prediction for quality control
Şahin, Ahmet; Sayımlar, Ayşe Dilara; Teksan, Zehra Melis; Albey, Erinç (Elsevier, 2019)In this work we aim to predict quality levels of incoming batches of a selected product type to a white goods manufacturer from a third party supplier. We apply a Markov Model that captures the quality level of the incoming ... -
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 ... -
A mathematical model for customer lifetime value based offer management
Şahin, Ahmet; Can, Zehra; Albey, Erinç (Springer, 2018)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 ... -
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 ... -
Multi-dimensional clearing functions for aggregate capacity modelling in multi-stage production systems
Albey, Erinç; Bilge, Ü.; Uzsoy, R. (Informa, 2017)Nonlinear clearing functions have been proposed in the literature as metamodels to represent the behaviour of production resources that can be embedded in optimisation models for production planning. However, most clearing ... -
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 estimators for optimal tour lengths of traveling salesperson problem instances with arbitrary node distributions
Varol, Taha; Özener, Okan Örsan; Albey, Erinç (Informs, 2024)It is essential to solve complex routing problems to achieve operational efficiency in logistics. However, because of their complexity, these problems are often tackled sequentially using cluster-first, route-second ... -
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 ... -
Optimal pricing and inventory strategies for fashion products under time-dependent interest rate and demand
Akan, M.; Albey, Erinç; Güler, M. G. (Elsevier, 2021-04)In this work we consider the dynamic pricing problem of a retailer operating in a market with a single fashion item and under time-dependent interest rate. The demand is assumed to be deterministic and dependent on the ... -
Optimizing steering of roaming traffic with a-number billing under a rolling horizon policy
Şahin, Ahmet; Demirel, Kenan Cem; Ceyhan, Ege; Albey, Erinç (Springer, 2020)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 ... -
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 ... -
A robust optimization approach for production planning under exogenous planned lead times
Albey, Erinç; Yanıkoğlu, İhsan; Uzsoy, R. (IEEE, 2019)Many production planning models applied in semiconductor manufacturing represent lead times as fixed exogenous parameters. However, in reality, lead times must be treated as realizations of released lots' cycle times, which ... -
Robust parameter design and optimization for quality engineering
Yanıkoğlu, İhsan; Albey, Erinç; Okçuoğlu, S. (Springer, 2022-03)This paper proposes a methodology to determine the optimal settings of key decision variables that affect the resilience of an engineering design against uncertainty. Uncertainty in quality engineering is often caused by ... -
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 ...
Share this page