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
16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
14
LIFE BELOW WATER
0
Research Products
6
CLEAN WATER AND SANITATION
2
Research Products
3
GOOD HEALTH AND WELL-BEING
8
Research Products
17
PARTNERSHIPS FOR THE GOALS
1
Research Products
4
QUALITY EDUCATION
0
Research Products
2
ZERO HUNGER
2
Research Products
10
REDUCED INEQUALITIES
0
Research Products
7
AFFORDABLE AND CLEAN ENERGY
3
Research Products
13
CLIMATE ACTION
1
Research Products
1
NO POVERTY
0
Research Products
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
4
Research Products
12
RESPONSIBLE CONSUMPTION AND PRODUCTION
2
Research Products
8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES
6
Research Products
5
GENDER EQUALITY
0
Research Products
Documents
54
Citations
1204
h-index
18
Documents
0
Citations
0
Scholarly Output
52
Articles
39
Views / Downloads
365/4548
Supervised MSc Theses
3
Supervised PhD Theses
1
WoS Citation Count
950
Scopus Citation Count
1288
WoS h-index
16
Scopus h-index
18
Patents
0
Projects
0
WoS Citations per Publication
18.27
Scopus Citations per Publication
24.77
Open Access Source
22
Supervised Theses
4
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| Journal | Count |
|---|---|
| Journal of Intelligent & Fuzzy Systems | 5 |
| Applied Computational Intelligence and Soft Computing | 3 |
| Journal of Healthcare Engineering | 3 |
| Journal of Mathematical Biology | 2 |
| Agricultural Water Management | 2 |
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Scopus Quartile Distribution
Competency Cloud
52 results
Scholarly Output Search Results
Now showing 1 - 10 of 52
Article Citation - Scopus: 75A Memetic Random-Key Genetic Algorithm for a Symmetric Multi-Objective Traveling Salesman Problem(2008) Samanlioglu,F.; Ferrell,Jr. W.G.; Kurz,M.E.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. © 2008 Elsevier Ltd. All rights reserved.Article Citation - WoS: 3Citation - Scopus: 2Evaluation of Gas-Fired Combi Boilers with HF-AHP-MULTIMOORA(Hindawi Ltd, 2022) Samanlıoğlu, Funda; Ayag, Zeki; Kirkil, Goekhan; Yucal, EsraThere 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.Article Citation - WoS: 1Citation - Scopus: 1Performance Evaluation of Operators in the Telecommunication Industry(Springer Science and Business Media Deutschland GmbH, 2025) Aydin, N.; Samanlioglu, F.; Sert, Y.B.; Yu, H.; Simic, V.One of the pioneer technological developments for society is telecommunication. Thus, related industry is proliferating worldwide, and this acceleration forces companies to constantly increase their service quality and product variety to attract new customers. Especially in regions with high growth, losing customers to competitors (s) causes considerable costs in the long run. Therefore, companies should constantly test their products and increase service quality to continue customer loyalty and help society communicate better. This study considers almost all scenarios a customer can encounter, from the first step of being a customer to canceling the contract. Three telecommunication service operators in Turkiye are reviewed based on 15 criteria. First, the “hesitant fuzzy Analytic Hierarchy Process” (HF-AHP) is employed to compute the importance weights of criteria. Then, the telecommunication companies are assessed via hesitant fuzzy “VIsekriterijumska optimizacija i KOmpromisno Resenje” (HF-VIKOR), considering these criteria’s weights. HF-TOPSIS is also applied as a comparative analysis to validate the study’s outcomes. Results provide valuable outcomes and policies for the decision-makers in the telecommunication industry. © The Author(s) 2025.Article Citation - WoS: 220Citation - Scopus: 277A 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: 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.Doctoral Thesis Analysis of the Stochastic Skiving Stock Problem(Kadir Has Üniversitesi, 2022) KARACA, TOLGA KUDRET; Samanlıoğlu, FundaThis study addresses the stochastic version of the one-dimensional skiving stock problem (SSP), a rather recent combinatorial optimization challenge. The tradi tional SSP aims to determine the optimal structure that skives (combines) small items of various sizes side-by-side to form as many large items (products) as possible that satisfy a target width. This study considers a single-product and multi-product cases for the stochastic SSP. First, two-stage stochastic programming model is pre sented to minimize the total cost for the single product stochastic SSP which is under random demand. Integration of the Column Generation, Progressive Hedging Al gorithm, and Branch and Bound is proposed where Progressive Hedging Algorithm is embedded in each node of the search tree to obtain the optimal integer solution. Next, the single product stochastic model is extended to the multi-product, multi random variable model with the additional costs as a large size complex model. To examine this large-sized stochastic N P-hard problem, a two-stage stochastic programming approach is implemented. Moreover, as a solution methodology, this problem is handled in two phases. In the first phase, the Dragonfly Algorithm constructs minimal patterns as an input for the next phase. The second phase executes a Sample Average Approximation method that provides solutions for the stochastic production problem with large size scenarios. Results indicate that the two-phase heuristic approach provides good feasible solutions under numerous sce narios without requiring excessive execution time. Finally, a multi-objective case for the deterministic SSP is analyzed where the objectives are minimization of the trim loss (waste), number of items in each product by considering the quality aspect, and number of pattern changes as the set-up. Lexicographic method is preferred for the multi-objective approach where preferences are ranked according to their importance. Column generation and Integer programming are further used to solve the multi-objective problem. In addition, a heuristic is proposed for the same multi objective problem.Article Citation - WoS: 6Citation - Scopus: 7An Interactive Memetic Algorithm for Production and Manufacturing Problems Modelled as a Multi-Objective Travelling Salesman Problem(Taylor & Francis Ltd, 2012) Samanlıoğlu, Funda; Ferrell, William G.; Kurz, M. E.In this paper a preference-based interactive memetic random-key genetic algorithm (PIMRKGA) is developed and used to find (weakly) Pareto optimal solutions to manufacturing and production problems that can be modelled as a symmetric multi-objective travelling salesman problem. Since there are a large number of solutions to these kinds of problems to reduce the computational effort and to provide more desirable and meaningful solutions to the decision maker this research focuses on using interactive input from the user to explore the most desirable parts of the efficient frontier instead of trying to reproduce the entire frontier. Here users define their preferences by selecting among five classes of objective functions and by specifying weighting coefficients bounds and optional upper bounds on indifference tradeoffs. This structure is married with the memetic algorithm - a random-key genetic algorithm hybridised by local search. The resulting methodology is an iterative process that continues until the decision maker is satisfied with the solution. The paper concludes with case studies utilising different scenarios to illustrate possible manufacturing and production related implementations of the methodology.Book Part Location-routing decisions in an earthquake relief network(Institute of Industrial Engineers, 2013) Samanlıoğlu, Funda; Küçük, Yaprak; Güneş, Kübra; Karabak, FahriyeIn 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.Article Citation - WoS: 17Citation - Scopus: 25Fuzzy Anp-Based Promethee Ii Approach for Evaluation of Machine Tool Alternatives(IOS Press, 2016) Ayağ, Zeki; Samanlıoğlu, FundaMachine tool selection process has been a critical issue for companies for years since improper selection of a machine tool might cause many problems affecting negatively the productivity precision flexibility and company's responsive manufacturing capabilities. On the other hand selecting the best machine tool from its increasing number of existing alternatives in the market is a multiple-criteria decision making (MCDM) problem in the presence of many quantitative and qualitative attributes. Therefore most companies have utilized various methods to successfully carry out this difficult and time-consuming process. In this paper both of the most used MCDM methodsArticle Citation - WoS: 4Citation - Scopus: 5Solution approaches for the bi-objective Skiving Stock Problem(Pergamon-Elsevier Science Ltd, 2023) Karaca, Tolga Kudret; Samanlıoğlu, Funda; Altay, AycaThe 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.
