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.
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
Main Affiliation
Industrial Engineering
Status
Current Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
15
LIFE ON LAND

0
Research Products
6
CLEAN WATER AND SANITATION

2
Research Products
7
AFFORDABLE AND CLEAN ENERGY

3
Research Products
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE

4
Research Products
4
QUALITY EDUCATION

0
Research Products
2
ZERO HUNGER

2
Research Products
17
PARTNERSHIPS FOR THE GOALS

1
Research Products
8
DECENT WORK AND ECONOMIC GROWTH

0
Research Products
1
NO POVERTY

0
Research Products
5
GENDER EQUALITY

0
Research Products
14
LIFE BELOW WATER

0
Research Products
16
PEACE, JUSTICE AND STRONG INSTITUTIONS

0
Research Products
10
REDUCED INEQUALITIES

0
Research Products
12
RESPONSIBLE CONSUMPTION AND PRODUCTION

2
Research Products
13
CLIMATE ACTION

1
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES

6
Research Products
3
GOOD HEALTH AND WELL-BEING

8
Research Products

Documents
55
Citations
1211
h-index
18

Documents
0
Citations
0

Scholarly Output
53
Articles
40
Views / Downloads
56/0
Supervised MSc Theses
3
Supervised PhD Theses
1
WoS Citation Count
954
Scopus Citation Count
1296
WoS h-index
16
Scopus h-index
18
Patents
0
Projects
0
WoS Citations per Publication
18.00
Scopus Citations per Publication
24.45
Open Access Source
22
Supervised Theses
4
| Journal | Count |
|---|---|
| Journal of Intelligent & Fuzzy Systems | 5 |
| Applied Computational Intelligence and Soft Computing | 3 |
| Journal of Healthcare Engineering | 3 |
| International Journal of Fuzzy Systems | 2 |
| Computers & Industrial Engineering | 2 |
Current Page: 1 / 6
Scopus Quartile Distribution
Competency Cloud

53 results
Scholarly Output Search Results
Now showing 1 - 10 of 53
Article Citation - WoS: 13Citation - Scopus: 15An Integrated Fuzzy Best-Worst Method for Evaluation of Hotel Website and Digital Solutions Provider Firms(Hindawi Limited, 2020) Samanlıoğlu, Funda; Burnaz, Ayşe Nur; Diş, Berke; Tabaş, Mehmet Doğukan; Adıgüzel, MehmetIn todays world where technology is rapidly evolving, hotels need to be the best in all conditions to be one step ahead of other competitors. Digital marketing and hotel website solutions play a lead role in this competition. Therefore, hotel websites need to be innovative, user-friendly, and descriptive. The main purpose of the study is to evaluate and rank potential hotel websites and digital solutions provider firms. Since there are various potentially competing quantitative and qualitative criteria to take into consideration in the decision-making process, a multicriteria decision-making (MCDM) method is needed. As the MCDM method, fuzzy best-worst method (FBWM) is integrated with the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (F-TOPSIS). In this integration, FBWM is applied to determine fuzzy evaluation criteria weights and then F-TOPSIS is implemented to rank alternatives utilizing the obtained fuzzy weights. A case study is presented, where 4 alternative hotel websites and digital solutions provider firms for Paloma Hotels in Turkey are evaluated based on 9 criteria by 3 hotel managers.Article Citation - WoS: 36Citation - Scopus: 47Evaluation of the Covid-19 Pandemic Intervention Strategies With Hesitant F-Ahp(Hindawi, 2020) Samanlıoğlu, Funda; Kaya, Burak ErkanIn this study, a hesitant fuzzy AHP method is presented to help decision makers (DMs), especially policymakers, governors, and physicians, evaluate the importance of intervention strategy alternatives applied by various countries for the COVID-19 pandemic. In this research, a hesitant fuzzy multicriteria decision making (MCDM) method, hesitant fuzzy Analytic Hierarchy Process (hesitant F-AHP), is implemented to make pairwise comparison of COVID-19 country-level intervention strategies applied by various countries and determine relative importance scores. An illustrative study is presented where fifteen intervention strategies applied by various countries in the world during the COVID-19 pandemic are evaluated by seven physicians (a professor of infectious diseases and clinical microbiology, an infectious disease physician, a clinical microbiology physician, two internal medicine physicians, an anesthesiology and reanimation physician, and a family physician) in Turkey who act as DMs in the process.Article Citation - WoS: 221Citation - Scopus: 278A Multi-Objective Mathematical Model for the Industrial Hazardous Waste Location-Routing Problem(Elsevier Science Bv, 2013) Samanlıoğlu, FundaIndustrial 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 centersArticle Citation - WoS: 41Citation - Scopus: 43Computing Trade-Offs in Robust Design: Perspectives of the Mean Squared Error(Pergamon-Elsevier Science Ltd, 2011) Shin, Sangmun; Samanlıoğlu, Funda; Cho, Byung Rae; Wiecek, Margaret M.Researchers often identify robust design as one of the most effective engineering design methods for continuous quality improvement. When more than one quality characteristic is considered an important question is how to trade off robust design solutions. In this paper we consider a bi-objective robust design problem for which Pareto solutions of two quality characteristics need to be obtained. In practical robust design applications a second-order polynomial model is adequate to accommodate the curvature of process mean and variance functions thus mean-squared robust design models frequently used by many researchers would contain fourth-order terms. Consequently the associated Pareto frontier might be non-convex and supported and non-supported efficient solutions needs to be generated. So the objective of this paper is to develop a lexicographic weighted-Tchebycheff based bi-objective robust design model to generate the associated Pareto frontier. Our numerical example clearly shows the advantages of this model over frequently used weighted-sums model. (C) 2010 Elsevier Ltd. All rights reserved.Article Citation - WoS: 6Citation - Scopus: 12An Intelligent Approach for the Evaluation of Transformers in a Power Distribution Project(IOS Press BV, 2020) Samanlıoğlu, Funda; Ayağ, ZekiIn 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.Conference Object Citation - Scopus: 4Determining Master Schedule of Surgical Operations by Integer Programming: a Case Study(Institute of Industrial Engineers, 2010) Samanlıoğlu, Funda; Ayağ, Zeki; Batili, Burcin; Evcimen, Esra; Yılmaz, Gulsah; Atalay, OzlemFixed 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.Article Citation - WoS: 2Citation - Scopus: 2Efficient Approaches for Furnace Loading of Cylindrical Parts(Elsevier Science Inc, 2014) Osman, Mojahid Saeed; Ram, Bala; Samanlıoğlu, FundaThis paper addresses the heat treatment operation in a manufacturing plant that produces different types of cylindrical parts. The immediate prior process to heat treatment is furnace-loading where parts are loaded into baskets. The furnace-loading process is complex and involves issues relating to geometry and heterogeneity in the parts and in their processing requirements. Currently furnace-loading is accomplished by operator ingenuity ; consequently the parts loaded in heat treatment often do not use furnace capacity adequately. Efficiency in furnace operation can be achieved by improving basket utilization which is determined by the furnace-loading process. This paper describes the development of integer and mixed integer LP models for 3D loading of cylindrical parts into furnace baskets. The models consider the exact location of parts to be loaded on the basket and incorporate three models with different objectives ; the first addresses the nesting of parts within one another the second addresses the number of basket layers used and the third addresses the number of baskets used. (C) 2013 Elsevier Inc. All rights reserved.Article Citation - WoS: 56Citation - Scopus: 67A Fuzzy Ahp-Promethee Ii Approach for Evaluation of Solar Power Plant Location Alternatives in Turkey(IOS Press, 2017) Samanlıoğlu, Funda; Ayağ, ZekiSolar 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 literatureArticle A Bicriteria Model to Determine Pareto Optimal Pulse Vaccination Strategies(Wiley, 2024) Samanlioglu, Funda; Tabassum, Nauman; Karaca, Tolga Kudret; Bilge, Ayse HumeyraThe 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.Book Part Selection of Raw Material for Biodiesel Production in Turkey(Institute of Industrial Engineers, 2013) Samanlıoğlu, Funda; Aksu, Enver; Nacak, Melis; Direkçi, Reşat BatuhanSelection of the appropriate raw material for biodiesel production is a complex problem and requires an extensive evaluation process. In this paper, as raw materials of biodiesel production, sunflower, safflower, canola, algae, cottonseed, soybean, and palm plants are taken into consideration. These decision alternatives are evaluated with respect to several criteria such as price adequacy, suitability of the plant to the climate, land or area, benefits of the plant after processing (the sediment), and suitability of the raw material for technological processing. As the multiple attributes decision-making method; a fuzzy TOPSIS method is implemented in order to select the appropriate raw material for biodiesel production in Turkey.

