• A novel collection optimisation solution maximising long-term profits: a case study in an international bank 

  Duman, Ekrem; Ecevit, F.; Çakır, Ç.; Altan, O. (Taylor & Francis, 2017-10-02)

  When customers fail to pay the amount they owe to their bank related with a credit product (credit cards, overdraft accounts or instalment loans), the bank starts the collection process. This process typically lasts for 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 ...

• Contributions to humanitarian and non-profit operations: Equity impacts on modeling and solution approaches 

  Koyuncu, Burcu Balçık; Smilowitz, K.

  Equity has been acknowledged as an important concern in designing and managing humanitarian and non-profit operations over the past decade. Given the significant demands for relief supplies created by a disaster and the ...

• Robust reformulations of ambiguous chance constraints with discrete probability distributions 

  Yanıkoğlu, İhsan (Balikesir University, 2019)

  This paper proposes robust reformulations of ambiguous chance constraints when the underlying family of distributions is discrete and supported in a so-called ``p-box'' or ``p-ellipsoidal'' uncertainty set. Using the robust ...

• A decomposition-based heuristic for a waste cooking oil collection problem 

  Gültekin, Ceren; Ölmez, Ömer Berk; Koyuncu, Burcu Balçık; Ekici, Ali; Özener, Okan Örsan (Springer, 2020-01-01)

  Every year, a tremendous amount of waste cooking oil (WCO) is produced by households and commercial organizations, which poses a serious threat to the environment if disposed improperly. While businesses such as hotels and ...

• A predictive multistage postdisaster damage assessment framework for drone routing 

  Adsanver, Birce; Göktürk, Elvin Çoban; Koyuncu, Burcu Balçık (Wiley, 2024-01)

  This study focuses on postdisaster damage assessment operations supported by a set of drones. We propose a multistage framework, consisting of two phases applied iteratively to rapidly gather damage information within an ...

• Production planning with flexible manufacturing systems under demand uncertainty 

  Elyasi, M.; Özener, Başak Altan; Ekici, Ali; Özener, Okan Örsan (Taylor & Francis, 2024)

  This paper delves into the impacts of an ongoing global crisis on the resilience of supply chains. Furthermore, it proposes measures to address and mitigate the disruptions caused by the prevailing uncertainties. For ...

• Developing a national pandemic vaccination calendar under supply uncertainty 

  Karakaya, Sırma; Koyuncu, Burcu Balçık (Elsevier, 2024-04)

  During the COVID-19 pandemic, many countries faced challenges in developing and maintaining a reliable national pandemic vaccination calendar due to vaccine supply uncertainty. Deviating from the initial calendar due to ...

• 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 ...

• Operations research approaches for improving coordination, cooperation, and collaboration in humanitarian relief chains: A framework and literature review 

  Adsanver, B.; Koyuncu, Burcu Balçık; Bélanger, V.; Rancourt, M. E. (Elsevier, 2023)

  Given the considerable number of actors in the humanitarian space, coordination is essential for successful disaster response. Furthermore, the sheer size of challenges and limited resources increasingly highlight the need ...

• Multi-stage scenario-based stochastic programming for managing lot sizing and workforce scheduling at Vestel 

  Seyfishishavan, Seyed Amin; Yanıkoğlu, İhsan; Yılmaz, G. (Springer, 2023-12)

  This study proposes a multi-stage stochastic production planning approach for a joint lot sizing and workforce scheduling problem under demand uncertainty. Scenario trees are used to model uncertainty in demand, and a ...

• Turkish cashier problem with time windows and its solution by Migrating bird optimization algorithm 

  Bassaleh, Ahmad; Duman, Ekrem (IEEE, 2023)

  A new application of the traveling salesman problem referred to as the Turkish cashier problem (TCP) was recently introduced in literature. The problem revolved around a cashier that must visit several locations and return ...

• Post-disaster damage assessment using drones in a remote communication setting 

  Yücesoy, Ecem; Göktürk, Elvin Çoban; Koyuncu, Burcu Balçık (Springer, 2023)

  After a disaster event, obtaining fast and accurate information about the damaged built-in structure is crucial for planning life-saving response operations. Unmanned aerial vehicles (UAVs), known otherwise as drones, are ...

• A column generation-based approach for the adaptive stochastic blood donation tailoring problem 

  Elyasi, Milad; Özener, Okan Örsan; Yanıkoğlu, İhsan; Ekici, Ali; Dolgui, A. (Taylor & Francis, 2023)

  Managing blood donations is a challenging problem due to the perishability of blood, limited donor pool, deferral time restrictions, and demand uncertainty. The problem addressed here combines two important aspects of blood ...

• Advancing home healthcare through machine learning: Predicting service time for enhanced patient care 

  Selçuk, Yağmur Selenay; Göktürk, Elvin Çoban (IEEE, 2023)

  Providing healthcare services at home is crucial for patients who require long-term care or face mobility or other health-related constraints that prevent them from traveling to healthcare facilities. Effective data analysis ...

• Healthcare inventory management in the presence of supply disruptions and a reliable secondary supplier 

  Shourabizadeh, H.; Kundakcıoğlu, Ömer Erhun; Bozkır, Cem Deniz Çağlar; Tüfekçi, Mihriban Büşra; Henry, A. C. (Springer, 2023-12)

  We study the inventory review policy for a healthcare facility to minimize the impact of inevitable drug shortages. Usually, healthcare facilities do not rely on a single source of supply, and alternative mechanisms are ...

• Electric bus fleet scheduling under travel time and energy consumption uncertainty 

  Avishan, Farzad; Yanıkoğlu, İhsan; Alwesabi, Y. (Elsevier, 2023-11)

  The public transportation system is experiencing a substantial shift due to the rapid expansion of electromobility infrastructure and operations. This transformation is anticipated to contribute to decarbonizing and promoting ...

• A non-clustered approach to platelet collection routing problem 

  Talebi Khameneh, R.; Elyasi, Milad; Özener, Okan Örsan; Ekici, Ali (Elsevier, 2023-12)

  One of the blood components that can be extracted from whole blood is the platelet, which has a wide range of uses in medical fields. Due to the perishable nature of platelets, it is recommended that the separation occurs ...

• A machine learning approach to deal with ambiguity in the humanitarian decision-making 

  Grass, E.; Ortmann, J.; Koyuncu, Burcu Balçık; Rei, W. (Wiley, 2023-09)

  One of the major challenges for humanitarian organizations in response planning is dealing with the inherent ambiguity and uncertainty in disaster situations. The available information that comes from different sources in ...

• Solving a new application of asymmetric TSP by modified migrating birds optimization algorithm 

  Duman, T.; Duman, Ekrem (Springer, 2023-07)

  In this study, we first introduce a new application of the asymmetric traveling salesman problem which is about a small restaurant with one cook and a single stove. Once a meal has started cooking on the stove, the cook ...

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