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Healthcare data analytics
(Springer International Publishing, 2015-11)
New advances in Information and Communication Technologies (ICT), Operations Research (OR), Artificial Intelligence (AI), and Data Mining (DM) are transforming how healthcare is delivered and managed around the world. ...
Improving blood products supply through donation tailoring
(Elsevier, 2019-02)
Recent technological advances, called Multicomponent Apheresis, allow tailoring the blood donations based on the demand and current inventory levels of blood products. Different from the most common type of blood donation ...
A mathematical model for perishable products with price- and displayed-stock-dependent demand
(Elsevier, 2016-12)
We introduce an economic order quantity model that incorporates product assortment, pricing and space-allocation decisions for a group of perishable products. The goal is to maximize the retailer’s profit under shelf-space ...
Şebeke kaynaklı müşteri şikayetleri için akıllı teşhis ve çözüm sistemleri
(IEEE, 2016)
In the telecommunication sector, there exists a vast variety of protocol data (Such as ADR, IUCS, GB, IUPS, GN) produced by signaling systems. The data contains various information regarding network quality and performance. ...
A literature review on inventory management in humanitarian supply chains
(Elsevier, 2016)
In this paper, we present a review and analysis of studies that focus on humanitarian inventory planning and management. Specifically, we focus on papers which develop policies and models to determine how much to stock, ...
Profit-based artificial neural network (ANN) trained by migrating birds optimization: a case study in credit card fraud detection
(World Academy of Science, Engineering and Technology, 2015)
A typical classification technique ranks the instances in a data set according to the likelihood of belonging to one (positive) class. A credit card (CC) fraud detection model ranks the transactions in terms of probability ...
Intelligent classification-based methods in customer profitability modeling
(Springer International Publishing, 2015)
The expected profits from customers are important informations for the companies in giving acquisition/retention decisions and developing different strategies for different customer segments. Most of these decisions can ...
Solving the steiner tree problem with revenues, budget and hop constraints to optimality
(IEEE, 2013)
We investigate the Steiner tree problem with revenues, budget and hop constraints (STPRBH) on graph, which is a generalization of the well-known Steiner tree problem. Given a root node, edge costs, nodes revenues, as well ...
Preface: 13th cologne-twente workshop on graphs and combinatorial optimization (CTW 2015)
(Elsevier, 2019-01-10)
N/A
A robust optimization approach for production planning under exogenous planned lead times
(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 ...
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