• Predicting cash holdings using supervised machine learning algorithms 

  Özlem, Şirin; Tan, Ömer Faruk (Springer, 2022)

  This study predicts the cash holdings policy of Turkish firms, given the 20 selected features with machine learning algorithm methods. 211 listed firms in the Borsa Istanbul are analyzed over the period between 2006 and ...

• Extension of capital budgeting techniques using interval-valued Fermatean fuzzy sets 

  Sergi, Duygu; Sarı, İrem Uçal; Senapati, Tapan (IOS Press, 2022)

  Capital budgeting requires dealing with high uncertainty from the unknown characteristics of cash flow, interest rate, and study period forecasts for future periods. Many fuzzy extensions of capital budgeting techniques ...

• A lot-sizing problem in deliberated and controlled co-production systems 

  Pamuk, Bahadır; Ağralı, Semra; Taşkın, Z. Caner; Kabakulak, Banu (Taylor and Francis, 2021)

  We consider an uncapacitated lot sizing problem in co-production systems, in which it is possible to produce multiple items simultaneously in a single production run. Each product has a deterministic demand to be satisfied ...

• Customer segmentation using RFM analysis: Real case application on a fuel company 

  Ucal Sarı, İrem; Sergi, Duygu; Ozkan, Burcu (Emerald Publishing Limited., 2020)

  Customer segmentation is an important research area that helps organizations to improve their services according to customer needs. With the increased information that shows customer attitudes, it is much easier and also ...

• Analysis of intelligent software implementations in air cargo using fermatean fuzzy CODAS method 

  Sarı, İrem Ucal; Kuchta, Dorota; Sergi, Duygu (Springer, 2022)

  The chapter focuses on the problem of analyzing and selecting intelligent software in Air Cargo in the concept of Aviation 4.0. First, the notions, problems and challenges linked to air cargo are discussed. Recent developments, ...

• Müşteri hizmetleri bölümünde süreç analizi ve stratejik planlama- lastik sektöründe bir uygulama 

  Sarı, İrem Ucal; Sergi, Duygu; Özuduruk, Semih Faruk (Eskişehir Teknik Üniversitesi, 2020)

  Bu çalışma kapsamında, bir işletmenin süreç analizinin yapılması ve sonrasında işletme stratejisinin oluşturulması için gerekli analiz ve stratejik yönetim modelleri incelenmiştir. Daha sonra, işletme geneli için incelenen ...

• Selection of the best face recognition system for check in and boarding services 

  Kuchta, Dorota; Sergi, Duygu; Ucal Sarı, İrem (Springer, 2022)

  Check-in and boarding services are one of the most human oriented pre-flight services in aviation industry. The process of using face recognition systems increase with the aviation 4.0 concept, decreases need for manpower ...

• Branch-and-price-and-cut methods for the electric vehicle routing problem with time windows 

  Duman, Ece Naz; Taş, Duygu; Çatay, Bülent (Taylor and Francis, 2021)

  In this paper, we address the electric vehicle routing problem with time windows and propose two branch-and-price-and-cut methods based on a column generation algorithm. One is an exact algorithm whereas the other is a ...

• Determining and evaluating new store locations using remote sensing and machine learning 

  Höke, Berkan; Turgay, Zeynep Zerrin; Ünsalan, Cem; Küçükaydın, Hande (Tübitak, 2021)

  Decision making for store locations is crucial for retail companies as the profit depends on the location. The key point for correct store location is profit approximation, which is highly dependent on population of the ...

• Prioritization of public services for digitalization using fuzzy Z-AHP and fuzzy Z-WASPAS 

  Sergi, Duygu; Ucal Sarı, İrem (Springer, 2021)

  In this paper, public services are analyzed for implementations of Industry 4.0 tools to satisfy citizen expectations. To be able to prioritize public services for digitalization, fuzzy Z-AHP and fuzzy Z-WASPAS are used ...

• Analysis of a new business model to fundraise non-governmental organizations using fuzzy cognitive maps 

  Ucal Sari, Irema; Sergi, Duygu; Aytore, Can (IOS Press, 2020)

  Fundraising is one of the most critical issues for non-governmental organizations (NGOs) to carry out their projects. In this paper, a search engine project which aims to find additional financial sources and increase ...

• Büyük ölçekli etki enbüyükleme problemi için lagrange gevşetmesi tabanlı etkin bir çözüm yöntemi 

  Güney, Evren (AKÜ FEMÜBİD, 2020)

  Etki Enbüyükleme Problemi (EEP) büyük bir sosyal ağ içindeki en etkin K tane kişiyi seçen zor bir stokastik kombinatoryal eniyileme problemidir. Son yıllarda pek çok araştırmacının ilgisini çeken bu problem için çok sayıda ...

• Fuzzy capital budgeting using fermatean fuzzy sets 

  Sergi, Duygu; Sarı, İrem Ucal (Springer, 2021)

  Investment projects are mostly evaluated by capital budgeting techniques to measure their profitability. The parameters used in capital budgeting such as future cash flows, interest rate and useful life involves high ...

• Large-scale influence maximization via maximal covering location 

  Güney, Evren; Leitner, Markus; Ruthmair, Mario; Sinnl, Markus (Elsevier, 2020)

  Influence maximization aims at identifying a limited set of key individuals in a (social) network which spreads information based on some propagation model and maximizes the number of individuals reached. We show that ...

• Gradual covering location problem with multi-type facilities considering customer preferences 

  Küçükaydın, Hande; Aras, Necati (Elsevier, 2020)

  In this paper, we address a discrete facility location problem where a retailer aims at locating new facilities with possibly different characteristics. Customers visit the facilities based on their preferences which are ...

• Consumer loans' first payment default detection: a predictive model 

  Koç, Utku; Sevgili, Türkan (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL, 2020)

  A default loan (also called nonperforming loan) occurs when there is a failure to meet bank conditions and repayment cannot be made in accordance with the terms of the loan which has reached its maturity. In this study, ...

• Quantifying the grounding probability in narrow waterways 

  Özlem, Şirin; Altan, Yiǧit Can; Otay, Emre N.; Or, İlhan (CRC Press/Balkema, 2020)

  The aim of this paper is to estimate the grounding probability of vessels while navigating in narrow waterways. In this study, the grounding probability is modelled as a combination the geometric probability, defined as ...

• Stokastik süreler içeren kapasite kısıtlı parti büyüklüğü belirleme problemi 

  Taş, Duygu (EJOSAT - DergiPark, 2019)

  Bu makalede üretim ve kurulum süreleri stokastik olan kapasite kısıtlı çok ürünlü dinamik parti büyüklüğü belirleme problemi ele alınmıştır. Bu problemde tüm sürelerin stokastik olduğu durum göz önünde bulundurularak hem ...

• Electric vehicle routing with flexible time windows: a column generation solution approach 

  Taş, Duygu (Taylor & Francis, 2020)

  In this paper, we introduce the Electric Vehicle Routing Problem with Flexible Time Windows (EVRPFTW) in which vehicles are allowed to serve customers before and after the earliest and latest time window bounds, respectively. ...

• An efficient linear programming based method for the influence maximization problem in social networks (vol 503, pg 589, 2019) 

  Güney, Evren (Elsevier, 2020)

  The influence maximization problem (IMP) aims to determine the most influential individuals within a social network. In this study first we develop a binary integer program thatapproximates the original problem by Monte ...

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