Browsing Endüstri Mühendisliği Bölümü koleksiyonu by Title
Now showing items 1-20 of 53
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Analysis of a new business model to fundraise non-governmental organizations using fuzzy cognitive maps
(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 ... -
Analysis of intelligent software implementations in air cargo using fermatean fuzzy CODAS method
(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, ... -
Bilevel models on the competitive facility location problem
(Springer, 2017)Facility location and allocation problems have been a major area of research for decades, which has led to a vast and still growing literature. Although there are many variants of these problems, there exist two common ... -
Branch-and-price-and-cut methods for the electric vehicle routing problem with time windows
(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 ... -
Büyük ölçekli etki enbüyükleme problemi için lagrange gevşetmesi tabanlı etkin bir çözüm yöntemi
(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 ... -
A capacitated lot sizing problem with stochastic setup times
(2015)In this paper, we study a Capacitated Lot Sizing Problem with Stochastic Setup Times (CLSP-SST). -
A capacitated lot sizing problem with stochastic setup times and overtime
(2019)In this paper, we study a Capacitated Lot Sizing Problem with Stochastic Setup Times and Overtime (CLSPSSTO). We describe a mathematical model that considers both regular costs (including production, setup and inventory ... -
Capacity allocation and pricing policies for cloud computing service providers
(Curran Associates Inc., 2018)The cloud computing is regarded as a paradigm shift in today’s IT world. As cloud computing resources behave like perishable products, revenue management techniques can be applied to increase cloud service provider's total ... -
Carbon price forecasting models based on big data analytics
(Taylor and Francis Ltd., 2019)After the establishment of the European Union's Emissions Trading System (EU-ETS) carbon pricing attracted many researchers. This paper aims to develop a prediction model that anticipates future carbon prices given a ... -
Consumer loans' first payment default detection: a predictive model
(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, ... -
Coordination of inbound and outbound transportation schedules with the production schedule
(2016)This paper studies the coordination of production and shipment schedules for a single stage in the supply chain. The production scheduling problem at the facility is modeled as belonging to a single process. Jobs that are ... -
Customer segmentation using RFM analysis: Real case application on a fuel company
(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 ... -
A Decomposition Algorithm for Single and Multiobjective Integrated Market Selection and Production Planning
(Informs, 2023)We study an integrated market selection and production planning problem. There is a set of markets with deterministic demand, and each market has a certain revenue that is obtained if the market's demand is satisfied ... -
Determining and evaluating new store locations using remote sensing and machine learning
(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 ... -
Determining the most vulnerable components in a transportatıon network
(Yıldız Technical University, 2018)Transportation networks belong to the class of critical infrastructure networks since a small deterioration in the service provision has the potential to cause considerable negative consequences on everyday activities. ... -
Dialogue enhancement using kernel additive modelling
(Institute of Electrical and Electronics Engineers Inc., 2015)It is a major problem for the sound engineers to find the right balance between the dialogue signals and the ambient sources. This problem also makes one of the main causes of the audience concerns. The audience wants to ... -
An efficient linear programming based method for the influence maximization problem in social networks
(Elsevier, 2019)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 that approximates the original problem by Monte ... -
An efficient linear programming based method for the influence maximization problem in social networks (vol 503, pg 589, 2019)
(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 ...
