• Comparison of computational intelligence models on forecasting automated teller machine cash demands 

  Alkaya, A. F.; Gultekin, O. G.; Danaci, E.; Duman, Ekrem (Old City Publishing, 2020)

  We take up the problem of forecasting the amount of money to be withdrawn from automated teller machines (ATM). We compare the performances of eleven different algorithms from four different research areas on two different ...

• Polarity classification of twitter messages using audio processing 

  Duşçu, Mihail; Danış, Dilek Günneç (Elsevier, 2020-11)

  Polarity classification is one of the most fundamental problems in sentiment analysis. In this paper, we propose a novel method, Sound Cosine Similaritye Matching, for polarity classification of Twitter messages which ...

• Economic lot sizing problem with inventory dependent demand 

  Önal, Mehmet; Albey, Erinç (Springer Nature, 2020-11)

  We consider an economic lot sizing problem where the demand in a period is a piecewise linear and concave function of the amount of the available inventory after production in that period. We show that the problem isNPhard ...

• The value of quality grading in remanufacturing under quality level uncertainty 

  Yanıkoğlu, İhsan; Denizel, M. (Taylor & Francis, 2020)

  In remanufacturing, variability in quality levels of available cores (end-of-life products) has an impact on both the process cost and the process time. While previous research suggests that quality grading adds value, ...

• A multi-cover routing problem for planning rapid needs assessment under different information-sharing settings 

  Pamukcu, D.; Koyuncu, Burcu Balçık (Springer Nature, 2020-03)

  In this paper, we introduce a multi-cover routing problem (MCRP), which is motivated by post-disaster rapid needs assessment operations performed to evaluate the impact of the disaster on different affected community groups. ...

• Least-cost influence maximization on social networks 

  Danış, Dilek Günneç; Raghavan, S.; Zhang, R. (Informs, 2020-03)

  Viral-marketing strategies are of significant interest in the online economy. Roughly, in these problems, one seeks to identify which individuals to strategically target in a social network so that a given proportion of ...

• A robust optimization approach for humanitarian needs assessment planning under travel time uncertainty 

  Koyuncu, Burcu Balçık; Yanıkoğlu, İhsan (Elsevier, 2020-04-01)

  We focus on rapid needs assessment operations conducted immediately after a disaster to identify the urgent needs of the affected community groups, and address the problem of selecting the sites to be visited by the ...

• A branch‐and‐cut approach for the least cost influence problem on social networks 

  Danış, Dilek Günneç; Raghavan, S.; Zhang, R. (Wiley, 2020-07)

  This paper studies a problem in the online targeted marketing setting called the least cost influence problem (LCIP) that is known to be NP-hard. The goal is to find the minimum total amount of inducements (individuals to ...

• An EOQ model with deteriorating items and self-selection constraints 

  Önal, Mehmet; Kundakcıoğlu, Ömer Erhun (Springer Nature, 2020-09)

  In this paper, we consider a store that sells two vertically differentiated items that might substitute each other. These items do not only differ in quality and price, but they also target two different customer segments. ...

• Inventory routing for the last mile delivery of humanitarian relief supplies 

  Ekici, Ali; Özener, Okan Örsan (Springer Nature, 2020-09)

  Fast and equitable distribution of the humanitarian relief supplies is key to the success of relief operations. Delayed and inequitable deliveries can result in suffering of affected people and loss of lives. In this study, ...

• The effect of multiple operating room scheduling on the sterilization schedule of reusable medical devices 

  Göktürk, Elvin Çoban (Elsevier, 2020-09)

  We study scheduling problems of operating rooms (ORs) and sterilization of reusable medical devices (RMDs) where RMDs are the tools that have to be sterilized in order to be reused in the other surgeries. During their ...

• Next-day operating room scheduling with uncertain surgery durations: Exact analysis and heuristics 

  Khaniyev, T.; Kayış, Enis; Güllü, R. (Elsevier, 2020-10-01)

  Operating rooms are units of particular interest in hospitals as they constitute more than 40% of total expenses and revenues. Managing operating rooms is challenging due to conflicting priorities and preferences of various ...

• An effective formulation of the multi-criteria test suite minimization problem 

  Özener, Okan Örsan; Sözer, Hasan (Elsevier, 2020-10)

  Test suite minimization problem has been mainly addressed by employing heuristic techniques or integer linear programming focusing on a specific criterion or bi-criteria. These approaches fall short to compute optimal ...

• Optimal ATM replenishment policies under demand uncertainty 

  Ekinci, Y.; Serban, N.; Duman, Ekrem (Springer Nature, 2019)

  The use of Automated Teller Machines (ATMs) has become increasingly popular throughout the world due to the widespread adoption of electronic financial transactions and better access to financial services in many countries. ...

• Effective training methods for automatic musical genre classification 

  Atsız, Eren; Albey, Erinç; Kayış, Enis (SciTePress, 2019)

  Musical genres are labels created by human and based on mutual characteristics of songs, which are also called musical features. These features are key indicators for the content of the music. Rather than predictions by ...

• Cost allocation mechanisms in a peer‐to‐peer network 

  Özener, Başak Altan; Özener, Okan Örsan (Wiley, 2019-01)

  This study analyzes a cooperative game between a service provider and a set of users. We consider a P2P network where the service provider broadcasts the content across the network and the users collaborate to seed the ...

• A hierarchical approach for solving simultaneous lot sizing and scheduling problem with secondary resources 

  Şafak, C. U.; Yılmaz, Görkem; Albey, Erinç (Elsevier, 2019)

  This study represents a decomposition heuristic approach for simultaneous lot sizing and scheduling problem for multiple product, multiple parallel machines with secondary resources. The motivation of the study comes from ...

• 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 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 ...

• Preface: 13th cologne-twente workshop on graphs and combinatorial optimization (CTW 2015) 

  Duman, Ekrem; Alkaya, A. F.; Pickl, S.; Faigle, U. (Elsevier, 2019-01-10)

  N/A

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