Samanlıoğlu, Funda

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SAMANLIOĞLU, Funda
S.,Funda
F. Samanlıoğlu
Funda Samanlıoğlu
FUNDA SAMANLIOĞLU
S., Funda
SAMANLIOĞLU, FUNDA
Samanlıoğlu,F.
Samanlioglu, Funda
Samanlıoğlu, FUNDA
Samanlioglu,Funda
Samanlıoğlu, Funda
Funda, Samanlioglu
Samanlıoğlu, F.
Samanlioglu F.
Funda SAMANLIOĞLU
Samanlioglu,F.
Job Title
Prof. Dr.
Email Address
fsamanlioglu@khas.edu.tr
Main Affiliation
Industrial Engineering
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Website
ORCID ID
0000-0003-3838-8824
Scopus Author ID
23012602800
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
DXU-5082-2022

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Scholarly Output

51

Articles

38

Citation Count

819

Supervised Theses

4

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Author: Samanlıoğlu, FundaHas files: false

Scholarly Output Search Results

Now showing 1 - 10 of 27
  • Thumbnail Image
    Book Part
    Citation - Scopus: 0
    A Network Model for the Location-Routing Decisions of a Logistics Company
    (Institute of Industrial Engineers, 2012) Sama, Funda; Samanlıoğlu, Funda; Yücekaya, Ahmet; Ayağ, Zeki; Ayağ, Zeki; Yücekaya, Ahmet Deniz; Industrial Engineering
    In this paper, part of the logistics network of one of the leading logistics companies in Turkey is analyzed. Data related to the candidate warehouse locations, supplies and demands of customers are collected. A network model is developed in order to reconfigure the logistics network. The aim of the mathematical model is to help decision makers decide on the locations of warehouses, as well as routing products from suppliers to the distribution center; from distribution center to warehouses; and finally from warehouses to customers. The mathematical model is solved optimally with LINGO solver, and the comparison of the current network with the optimal solution revealed that the overall operating costs can be reduced by approximately 7%.
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    Article
    Citation - WoS: 15
    Citation - Scopus: 16
    An Intelligent Approach for the Evaluation of Innovation Projects
    (IOS Press, 2020) Samanlıoğlu, Funda; Samanlıoğlu, Funda; Ayağ, Zeki; Ayağ, Zeki; Industrial Engineering
    In this study, an intelligent approach is presented for the evaluation and selection of innovation projects. Selecting the best innovation project is a complicated multiple criteria decision making (MCDM) problem with several potentially competing quantitative and qualitative criteria. In this paper, two hesitant fuzzy MCDM methods; hesitant fuzzy Analytic Hierarchy Process (hesitant F-AHP) and hesitant fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (hesitant F-VIKOR) are integrated to evaluate and rank innovation projects. In the hesitant fuzzy AHP-VIKOR, hesitant F-AHP is used to find fuzzy evaluation criteria weights and hesitant F-VIKOR is implemented to rank innovation project alternatives. A numerical example is given where five innovation projects are evaluated based on nine criteria by three decision makers.
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    Article
    Citation - WoS: 2
    Citation - Scopus: 2
    Determination of Epidemic Parameters From Early Phase Fatality Data: a Case Study of the 2009 A(h1n1) Pandemic in Europe
    (World Scientific Publ Co Pte Ltd, 2018) Bilge, Ayşe Hümeyra; Bilge, Ayşe Hümeyra; Samanlıoğlu, Funda; Samanlıoğlu, Funda; Industrial Engineering
    This paper demonstrates that the susceptible-infected-removed (SIR) model applied to the early phase of an epidemic can be used to determine epidemic parameters reliably. As a case study the SIR model is applied to the fatality data of the 2009 fall wave cycle of the A(H1N1) pandemic in 12 European countries. It is observed that the best estimates of the basic reproduction number R-0 and the mean duration of the infection period 1/eta lie on a curve in the scatterplots indicating the existence of a nearly-invariant quantity which corresponds to the duration of the epidemic. Spline interpolation applied to the early phase of the epidemic an approximately 10-week period together with a future control point in the stabilization region is sufficient to estimate model parameters. The SIR model is run over a wide range of parameters and estimates of R0 in the range 1.2-2.0 match the values in the literature. The duration of the infection period 1/eta is estimated to be in the range 2.0-7.0 days. Longer infection periods are tied to spatial characteristics of the spread of the epidemic.
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    Article
    Citation - WoS: 6
    Citation - Scopus: 10
    An Intelligent Approach for the Evaluation of Transformers in a Power Distribution Project
    (IOS Press BV, 2020) Samanlıoğlu, Funda; Samanlıoğlu, Funda; Ayağ, Zeki; Ayağ, Zeki; Industrial Engineering
    In this study, a hybrid approach is presented for the evaluation and selection of transformers in a power distribution project. Ranking transformers and selecting the best among alternatives is a complex multiple criteria decision making (MCDM) problem with various possibly conflicting quantitative and qualitative criteria. In this research, two hesitant fuzzy MCDM methods; hesitant fuzzy Analytic Hierarchy Process (hesitant F-AHP) and hesitant fuzzy Preference Ranking Organization Method for Enriching Evaluations II (hesitant F-PROMETHEE II) are combined to evaluate and rank transformers. In the hesitant fuzzy AHP-PROMETHEE II, hesitant F-AHP is implemented to determine criteria weights and hesitant F-PROMETHEE II is applied to rank transformer alternatives, utilizing obtained criteria weights. An illustrative example is presented to demonstrate the effectiveness and applicability of the proposed approach. In the example, five transformers are evaluated based on twelve criteria by three decision makers (DMs) and best alternative is selected. For comparison analysis, integration of hesitant F-AHP and hesitant fuzzy Technique for Order Preference by Similarity to Ideal Solution (hesitant F-TOPSIS) is used and results are compared.
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    Conference Object
    Citation - Scopus: 3
    Determining Master Schedule of Surgical Operations by Integer Programming: a Case Study
    (Institute of Industrial Engineers, 2010) Samanlıoğlu, Funda; Samanlıoğlu, Funda; Ayağ, Zeki; Ayağ, Zeki; Batili, Burcin; Evcimen, Esra; Yılmaz, Gulsah; Atalay, Ozlem; Industrial Engineering
    Fixed amounts of available Operating Room (OR) time compatibility of ORs and restrictions related to surgery equipment and surgeon availabilities complicate the process of preparing the master surgical schedule at hospitals. In this research an integer programming model and its application at Etiler World Eye Hospital (in Turkey) are presented in order to create a master surgical schedule that includes the most common surgery types on weekly basis and resolves surgeon equipment and operating room restriction and availability issues. The integer programming model utilizes the available OR time at the hospital by minimizing the total underallocation of OR time with respect to targeted OR time of surgeons taking into consideration surgeon equipment and OR restrictions and availabilities. The mathematical model is then solved using a commercial solver to obtain a weekly master surgical schedule for the hospital.
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    Article
    Citation - WoS: 11
    Citation - Scopus: 13
    A Fuzzy Ahp-Vikor Approach for Evaluation of Educational Use Simulation Software Packages
    (IOS Press, 2019) Samanlıoğlu, Funda; Samanlıoğlu, Funda; Ayağ, Zeki; Ayağ, Zeki; Industrial Engineering
    In this study, an intelligent, integrated approach is presented to help educators select the best simulation software package. Selecting the best simulation software package for educational use is a complex multiple criteria decision making (MCDM) problem with several potentially conflicting quantitative and qualitative criteria. In this paper, two fuzzy MCDM methods; fuzzy Analytic Hierarchy Process (F-AHP) and fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (F-VIKOR) are integrated to evaluate educational use simulation software package alternatives. In the proposed fuzzy AHP-VIKOR approach, F-AHP is used to determine the fuzzy criteria weights and F-VIKOR is applied to rank simulation software package alternatives with respect to these criteria. A case study is given where several educational use simulation software packages in Turkey are evaluated and ranked.
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    Article
    Citation - WoS: 62
    Citation - Scopus: 72
    A Memetic Random-Key Genetic Algorithm for a Symmetric Multi-Objective Traveling Salesman Problem
    (Pergamon-Elsevier Science Ltd, 2008) Samanlıoğlu, Funda; Samanlıoğlu, Funda; Ferrell, William G., Jr.; Kurz, Mary E.; Industrial Engineering
    This paper proposes a methodology to find weakly Pareto optimal solutions to a symmetric multi-objective traveling salesman problem using a memetic random-key genetic algorithm that has been augmented by a 2-opt local search. The methodology uses a target-vector approach" in which the evaluation function is a weighted Tchebycheff metric with an ideal point and the local search is randomly guided by either a weighted sum of the objectives or a weighted Tchebycheff metric. The memetic algorithm has several advantages including the fact that the random keys representation ensures that feasible tours are maintained during the application of genetic operators. To illustrate the quality of the methodology, experiments are conducted using Euclidean TSP examples and a comparison is made to one example found in the literature. (C) 2008 Elsevier Ltd. All rights reserved.
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    Article
    Citation - WoS: 54
    Citation - Scopus: 66
    A Fuzzy Ahp-Promethee Ii Approach for Evaluation of Solar Power Plant Location Alternatives in Turkey
    (IOS Press, 2017) Samanlıoğlu, Funda; Samanlıoğlu, Funda; Ayağ, Zeki; Ayağ, Zeki; Industrial Engineering
    Solar energy produced through a solar power plant is a freely available non-polluting renewable source of energy that reduces the greenhouse effect. Selecting the best location for a solar power plant among several location alternatives is a complicated multiple criteria decision making (MCDM) problem since several potentially conflicting quantitative and qualitative criteria needs to be taken into consideration. In this paper of the most commonly used MCDM methods in literature
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    Article
    Citation - WoS: 0
    Citation - Scopus: 0
    A Bicriteria Model to Determine Pareto Optimal Pulse Vaccination Strategies
    (Wiley, 2024) Samanlıoğlu, Funda; Bilge, Ayşe Hümeyra; Karaca, Tolga Kudret; Bilge, Ayse Humeyra; Industrial Engineering
    The aim of this paper is to determine approximate Pareto optimal (efficient) pulse vaccination strategies for epidemics modeled by the susceptible-infected-removed (SIR) without population dynamics, characterized by a single epidemic wave. Pulse vaccination is the application of the vaccination campaign over a limited time interval, by vaccinating susceptible individuals at a constant vaccination rate. A pulse vaccination strategy includes the determination of the beginning date and duration of the campaign and the vaccination rate. SIR with vaccination (SIRV) epidemic model is applied during pulse vaccination campaign, resulting in final proportions of removed (Rf) and vaccinated (Vf) individuals at the end of the epidemic. The burden of the epidemic is estimated in terms of Rf and Vf; two criteria are simultaneously minimized: vaccination cost and treatment cost of infected individuals and other economic losses due to sickness that are assumed to be proportional to Vf and Rf, respectively. To find approximate efficient solutions to this bicriteria problem, ODE and genetic algorithm toolboxes of MATLAB are integrated (GA-ODE). In GA-ODE, an augmented weighted Tchebycheff program is used as the evaluation function, calculated by solving the SIRV model and obtaining Rf and Vf values. Sample approximate efficient vaccination strategies are determined for diseases with a basic reproduction number (R0) 1.2 to 2.0. Consequently, obtained strategies are characterized as short-period campaigns that start as early as possible, i.e., as soon as vaccines are available and the vaccination rate increases with the severity of the disease (R0) and the importance weight given to minimization of Rf.
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    Article
    Citation - Scopus: 7
    On the Uniqueness of Epidemic Models Fitting a Normalized Curve of Removed Individuals
    (Springer Verlag, 2015) Bilge,A.H.; Bilge, Ayşe Hümeyra; Samanlioglu,F.; Samanlıoğlu, Funda; Ergonul,O.; Industrial Engineering
    The susceptible-infected-removed (SIR) and the susceptible-exposed-infected-removed (SEIR) epidemic models with constant parameters are adequate for describing the time evolution of seasonal diseases for which available data usually consist of fatality reports. The problems associated with the determination of system parameters starts with the inference of the number of removed individuals from fatality data, because the infection to death period may depend on health care factors. Then, one encounters numerical sensitivity problems for the determination of the system parameters from a correct but noisy representative of the number of removed individuals. Finally as the available data is necessarily a normalized one, the models fitting this data may not be unique. We prove that the parameters of the (SEIR) model cannot be determined from the knowledge of a normalized curve of “Removed” individuals and we show that the proportion of removed individuals, R(t), is invariant under the interchange of the incubation and infection periods and corresponding scalings of the contact rate. On the other hand we prove that the SIR model fitting a normalized curve of removed individuals is unique and we give an implicit relation for the system parameters in terms of the values of (Formula presented.) and (Formula presented.), where Rf is the steady state value of R(t) and Rm and (Formula presented.) are the values of R(t) and its derivative at the inflection point tm of R(t). We use these implicit relations to provide a robust method for the estimation of the system parameters and we apply this procedure to the fatality data for the H1N1 epidemic in the Czech Republic during 2009. We finally discuss the inference of the number of removed individuals from observational data, using a clinical survey conducted at major hospitals in Istanbul, Turkey, during 2009 H1N1 epidemic. © 2014, Springer-Verlag Berlin Heidelberg.