Funda Samanlıoğlu

Samanlıoğlu, Funda

Name Variants

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

ORCID ID

0000-0003-3838-8824

Scopus Author ID

23012602800

Full item page

Scholarly Output

50

Articles

37

Citation Count

819

Supervised Theses

4 Scholarly Output Search Results

Now showing 1 - 10 of 50

Citation Count: 6
An Overview of the 2009 A(h1n1) Pandemic in Europe: Efficiency of the Vaccination and Healthcare Strategies
(Hindawi Ltd, 2016) Samanlıoğlu, Funda; Bilge, Ayşe Hümeyra
2009 A(H1N1) data for 13 European countries obtained from the weekly influenza surveillance overview (WISO) reports of European Centre for Disease Prevention and Control (ECDC) in the form of weekly cumulative fatalities are analyzed. The variability of relative fatalities is explained by the health index of analyzed countries. Vaccination and healthcare practices as reported in the literature are used to explain the departures from this model. The timing of the vaccination with respect to the peak of the epidemic and its role in the efficiency of the vaccination is discussed. Simulations are used to show that on-time vaccination reduces considerably the final value of R(t) R-f but it has little effect on the shape of normalized curve R(t)/R-f.
Citation Count: 205
A Multi-Objective Mathematical Model for the Industrial Hazardous Waste Location-Routing Problem
(Elsevier Science Bv, 2013) Samanlıoğlu, Funda
Industrial hazardous waste management involves the collection transportation treatment recycling and disposal of industrial hazardous materials that pose risk to their surroundings. In this paper a new multiobjective location-routing model is developed and implemented in the Marmara region of Turkey. The aim of the model is to help decision makers decide on locations of treatment centers utilizing different technologies routing different types of industrial hazardous wastes to compatible treatment centers locations of recycling centers and routing hazardous waste and waste residues to those centers and locations of disposal centers and routing waste residues there. In the mathematical model three criteria are considered: minimizing total cost which includes total transportation cost of hazardous materials and waste residues and fixed cost of establishing treatment disposal and recycling centers
Citation Count: 0
A Bicriteria Model to Determine Pareto Optimal Pulse Vaccination Strategies
(Wiley, 2024) Samanlioglu, Funda; Tabassum, Nauman; Karaca, Tolga Kudret; Bilge, Ayse Humeyra
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.
Citation Count: 0
Knitting Machine Selection for a Textile Company in Turkey with F-AHP-PROMETHEE II
(Institute of Industrial and Systems Engineers, IISE, 2023) Samanlioglu,F.; Aday,Ş.; Sağıroğlu,M.; Çelik,C.; Bektaş,A.Y.
Global competition and fast development of technologies force textile companies to select and purchase efficient machines to maintain their place among competitors. Selection of a knitting machine for a textile company requires a multi-criteria decision making (MCDM) process since several possibly contradictory quantitative and qualitative criteria needs to be considered by the decision makers. In this study, as the MCDM method, “fuzzy Analytic Hierarchy Process” (F-AHP) and “fuzzy Preference Ranking Organization Method for Enrichment Evaluation” (F-PROMETHEE II) methods are integrated (F-AHP-PROMETHEE II) in order to gain from both methods’ benefits. In F-AHP-PROMETHEE II, first, F-AHP is applied to establish the importance weights of criteria and then F-PROMETHEE II is implemented to rank knitting machine alternatives employing the determined weights. A case study is given, where 3 knitting machine alternatives determined by a textile company in Turkey (Uğur Konfeksiyon San. ve Tic. A.Ş) are evaluated based on 10 criteria with the help of 3 company managers acting as decision makers. © IISE and Expo 2023.All rights reserved.
Citation Count: 0
Location-routing decisions in an earthquake relief network
(Institute of Industrial Engineers, 2013) Samanlıoğlu, Funda; Küçük, Yaprak; Güneş, Kübra; Karabak, Fahriye
In this paper, an integer mathematical model is developed in order to configure part of the earthquake relief network in Istanbul, Turkey. The aim of the mathematical model is to help decision makers decide on the locations of sub depots (distribution centers), as well as routing relief aid parcels from the main depot to the sub depots; and from the sub depots to the neighborhoods while minimizing the total distance of transportation and taking into consideration the sub depot and neighborhood coverage restrictions, and capacities. The mathematical model is implemented in a pilot area, Eyup, and solved optimally with LINGO 7.0 solver. The data related to the main depot, potential sub depot locations and capacities, and demands of neighborhoods are obtained from Eyup municipality in Istanbul.
Citation Count: 2
An MCDM approach to third party logistics provider selection
(Inderscience Publishers, 2023) Boakai, S.; Samanlıoğlu, Funda
In order to focus on their main skills and be more competitive and efficient in business, firms frequently outsource their logistics functions to a third party logistics (3PL) provider. Evaluation and selection of a 3PL provider is a multi-criteria decision-making (MCDM) process due to the need to take into consideration various potentially competing qualitative and quantitative criteria. In this paper, as the MCDM method, fuzzy best-worst method (BWM) is applied to a 3PL provider selection problem of a textile company in Turkey. Here, six 3PL provider alternatives are evaluated with respect to 15 criteria by three managers (decision makers). Fuzzy BWM incorporates decision makers’ imprecision and ambiguity to the decision-making process and requires fewer pairwise comparisons than a frequently used method in 3PL provider selection, fuzzy analytic hierarchy process (AHP). Consistent results are always obtained through using fuzzy BWM, though not fully consistent. Copyright © 2023 Inderscience Enterprises Ltd.
Citation Count: 0
Evaluation of Gas-Fired Combi Boilers with HF-AHP-MULTIMOORA
(Hindawi Ltd, 2022) Samanlıoğlu, Funda; Ayag, Zeki; Kirkil, Goekhan; Yucal, Esra
There are many alternative gas-fired combi boilers that can be used to heat residential homes. Evaluation and selection of gas-fired combi boilers for buildings is an intricate multi-criteria decision-making (MCDM) problem involving perhaps contradictory quantifiable and qualitative criteria. In this research, as the MCDM approach, hesitant fuzzy linguistic analytic hierarchy process (HF-AHP) and hesitant fuzzy linguistic multiple objective optimization based on ratio analysis plus full multiplicative form (MULTIMOORA) (HF-MULTIMOORA) are integrated to assess and rank combi boiler alternatives for buildings. First, with HF-AHP, fuzzy criteria weights are determined and then with HF-MULTIMOORA, boiler alternatives are ranked from best to worst. In this integrated HF-AHP-MULTIMOORA method, evaluations of decision-makers are combined with fuzzy envelope approach and then triangular fuzzy numbers are utilized. For comparison analysis, HF-AHP-TOPSIS method is also applied to the same problem. A case study in Turkey is presented where ten combi boiler alternatives are assessed based on fifteen criteria by five decision-makers. We have used various selection criteria for boilers ranging from maximum temperature, heating capacity up to environmental effects and decided on the best combi boiler for heating residential buildings in Turkey.
Citation Count: 1
Solution approaches for the bi-objective Skiving Stock Problem
(Pergamon-Elsevier Science Ltd, 2023) Karaca, Tolga Kudret; Samanlıoğlu, Funda; Altay, Ayca
The Skiving Stock Problem (SSP) aims to determine an optimal plan for producing as many large objects as possible by combining small items. The skiving process may need different considerations depending on the production environment and the product characteristics. In this study, we address bi-objective 1D-SSP with two conflicting objectives. One common objective is to minimize the trim loss remaining after skiving, as removing the excess width is an extra procedure. When welding is an element of the skiving process, increasing the number of items for each product indicates compromised quality. Therefore, minimizing the number of small items for each product becomes a primary objective in such cases. To solve this bi-objective version of the NP-hard problem, we implement a Lexicographic Method (LM) in which the importance of the objectives imposes their preference orders. We propose two methodologies within the LM framework. The first methodology integrates Column Generation (CG) and Branch & Bound (B&B) to search for an exact solution. Given the excessive computational time an exact solver may require for tight or large-sized problems, we propose a heuristic method integrating the Dragonfly Algorithm (DA) and a Constructive Heuristic (CH). Real-world application results validate the exact solver and demonstrate comparable results for the heuristic solver in terms of solution quality and computational time. The efficiency of the solution methodologies for a preemptive multi-objective SSP aims to support decision-makers with make-or-buy decisions.
A Fuzzy Best-Worst Multi-Criteria Decision-Making Method for Third-Party Logistics Provider Selection
(Kadir Has Üniversitesi, 2016) Boakai, Sylivan; Samanlıoğlu, Funda
In recent years, the outsourcing of logistics functions to a third-party has been a major alternative to vertical integration. Third-party logistics provider can serve as a significant source of competitive advantage for firms aiming to focus on their core competencies. In selecting a strategic third-party logistics partner, there are many criteria and potential providers that must be carefully evaluated. Hence, third-party logistics provider selection is a multi-criteria decision-making problem; and it is extremely important that decision makers have a reliable decision support tool to select the best partner. Several multi-criteria decision making methods have been proposed. Some of these methods like Analytical Hierarchy Process (AHP) and Analytic Network Process (ANP) require decision-makers to use pairwise comparisons in order to determine their preferences. However, due to the large number of criteria and potential providers associated with third-party logistics selection decision, these pairwise comparisons might lead to a reduction in the overall consistency. This thesis addresses this issue by extending the newly proposed best-worst method to incorporate decision-makers' uncertainty and vagueness while requiring fewer comparisons as compared to a method like Fuzzy AHP. The aim of this thesis is twofold: first, a fuzzy best-worst multi-criteria decision-making method is proposed to handle the issue of larger number of comparisons and uncertainty in judgements. Secondly, the proposed method is applied to a third-party logistics selection problem at a medium-sized company in Turkey. The results of the study show that the proposed method efficiently handles decision maker's inherent uncertainty while requiring fewer number of comparisons.
Multi - Objective Location Routing Problem for Nuclear Power Plants and Nuclear Waste Disposal Centers
(Kadir Has Üniversitesi, 2011) Sezenler, Gül Ecem; Samanlıoğlu, Funda
Nuclear energy is used by many countries and has already taken its place among the future sources of energy. in Turkey nuclear energy has recently been accepted by the majority of people as an alternative energy source. As a result inspections and research have accelerated to establish a nuclear power plant. in this thesis a new multi-objective location-routing mathematical model is developed and implemented using actual data for Turkey. The model selects best locations for nuclear power plants and disposal centers from respective candidate sets and then identifies the optimal amount of nuclear waste to transport from each nuclear power plant to each disposal center. The problem includes the following objective functions: Minimizing total cost of establishing nuclear power plants and disposal centers transporting nuclear wastes between them and holding nuclear wastes minimizing total social rejection for the establishment of nuclear power plants and disposal centers and transportation of nuclear wastes minimizing total accident risk of truck minimizing total risk of earthquake damage to nuclear power plants and disposal centers and minimizing total risk of terror attacks to the locations of nuclear power plants and disposal centers. The model also includes constraints related to the capacities of disposal centers and temporary nuclear waste holding storages that might be opened inside the nuclear power plants. As the multi . objective decision making method weighted Tchebycheff method is used and weakly Pareto optimal (weakly non . dominated) solutions are obtained. The mathematical model is formulated and solved by GAMS 23.6. Data required for the thesis is obtained using the ArcGiS Spatial Analyst 10.0.