Paldrak, Mert

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https://gcris.yasar.edu.tr/handle/123456789/12617
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Araş.Gör.Dr.
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01.01.09.03. Endüstri Mühendisliği Bölümü
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Current Staff
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ORCID ID
0000-0003-1921-7835
Scopus Author ID
57192820563
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WoS Researcher ID
FPC-9970-2022
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Sustainable Development Goals

NO POVERTY1
NO POVERTY
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ZERO HUNGER2
ZERO HUNGER
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
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QUALITY EDUCATION4
QUALITY EDUCATION
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
1
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
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INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
5
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
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RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
1
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CLIMATE ACTION13
CLIMATE ACTION
0
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LIFE BELOW WATER14
LIFE BELOW WATER
0
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LIFE ON LAND15
LIFE ON LAND
0
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
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Documents

32

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37

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Scholarly Output

29

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11

Scopus Citation Count

29

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WoS Citations per Publication

0.38

Scopus Citations per Publication

1.00

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2

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JournalCount
Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference5
International Symposium for Production Research ISPR 20234
22nd International Symposium for Production Research ISPR 20223
24th International Symposium for Production Research ISPR 20243
4th International Conference on Intelligent and Fuzzy Systems (INFUS)2
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Now showing 1 - 10 of 29
  • Thumbnail Image
    Conference Object
    Whale Optimization Algorithm for Job Scheduling Problem
    (Springer Science and Business Media Deutschland GmbH, 2023) Mert Paldrak; Gamze Erdem; Ege Duran; Paldrak, Mert; Duran, Ege; Erdem, Gamze; N.M. Durakbasa , M.G. Gençyılmaz
    Meta-heuristics are widely used methods in OR literature. Whale Optimization Algorithm (WOA) is one of these meta-heuristic methods which is recently developed. The objective of this study is to find the best possible job schedule while minimizing the make-span (i.e. the length of time elapsed from the beginning of first job to the end of the last job.) of the system. This problem is initially solved by using Optimization Programming Language namely CPLEX Studio IDE 20.1.0. Then WOA which is a current meta-heuristic used to solve the same problem. Some toy instances of different sizes are created and the results obtained by using CPLEX and WOA are compared. Although in some studies in the literature WOA is used to solve job shop scheduling problems there is not a study which uses WOA as a solution methodology for parallel machine job scheduling problem with machine eligibility consideration to the best of our knowledge. Thus the main contribution of this study is to include machine eligibility to the conventional job scheduling problem and to use WOA while solving the corresponding problem. © 2023 Elsevier B.V. All rights reserved.
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    Conference Object
    Citation - Scopus: 2
    A GRASP Algorithm for Multi-objective Airport Gate Assignment Problem
    (SPRINGER INTERNATIONAL PUBLISHING AG, 2022) Mert Paldrak; Mustafa Arslan Ornek; Paldrak, Mert; Ornek, Mustafa Arslan; DP Sakas; A Kavoura; P Tomaras
    The assignment of flights to appropriate gates is a complex combinatorial optimization problem that airport managers have to deal with every day. It is an important decision-making problem involving multiple and conflicting objectives. Considering the different stakeholders of the problem a multi-objective airport gate assignment problem is proposed and formulated as a Binary Integer Programming Model. This paper studies two main objectives namely maximizing total flight-to-gate assignment utility and minimizing total flight conflict probability. Unlike most of the mathematical models presented in the literature Airport Gate Assignment Problem is considered an over-constraint problem where flight-to-gate eligibility apron safety and night-stand flight constraints are involved. As a solution methodology a Greedy Randomized Adaptive Search Procedure (GRASP) algorithm on over-constrained AGAP is proposed since the algorithm produces a series of good features such as intuitive greedy appeals and is trivial to be efficiently implemented on parallel processors like gates. The paper aims to demonstrate the efficiency of the proposed solution methodology concerning determined objective functions.
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    Article
    YOĞUN SAATLERDE SİNYALİZE BİR KAVŞAĞIN TRAFİK SİMÜLASYONU: BİR VAKA ÇALIŞMASI
    (2024) Sinem Özkan; Mert Paldrak; Erdinc Oner; Paldrak, Mert; Özkan, Sinem; Oner, Erdinc
    Bu çalışmada İzmir'in en yoğun sinyalize kavşaklarından biri olan Vakıflar Kavşağının trafiğin yoğun saatlerde simüle edilmesine odaklanılmıştır. Çalışma kavşaktaki darboğazları daha iyi anlamak analiz etmek ve iyileştirmek için çözümler önermek amacıyla ağ üzerindeki trafiği simüle etmek amacıyla yürütülmüştür. Simülasyon modeli ARENA Yazılımında oluşturulmuş ve ilk sonuçlar kavşağın doğu ve batı güzergahlarında önemli bir kuyruk problemi olduğunu göstermiştir. Sorunun üstesinden gelmek için kavşağın doğu ve batı taraflarını birbirine bağlayan bir alt geçit içeren yeni bir tasarım önerilmiştir. Geliştirilen modelden elde edilen sonuçlar Şehitler Caddesi ve Kamil Tunca Bulvarı'nda kuyrukta bekleyen araç sayısının ve bekleme süresinin önemli ölçüde azaldığını göstermiştir.
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    Conference Object
    Integrating Fuzzy AHP and TOPSIS for Optimal Air Fryer Selection: A Consumer-Centric Approach
    (SPRINGER INTERNATIONAL PUBLISHING AG, 2024) Mert Paldrak; Fatma Nese Ozen; Berkin Yeginoglu; Cansu Bora; Armagan Yagiz Terim; Özen, Fatma Neşe; Yeginoğlu, Berkin; Paldrak, Mert; Terim, Armağan Yağız; Bora, Cansu; C Kahraman; SC Onar; S Cebi; B Oztaysi; AC Tolga; IU Sari
    This study presents a novel methodology combining Fuzzy Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to aid consumers in selecting the most suitable air fryer. The decision-making process in choosing kitchen appliances like air fryers is often complex involving multiple criteria that can be challenging to assess and prioritize. Our approach utilizes Fuzzy AHP to determine the weights of various criteria based on consumer preferences ensuring a more accurate reflection of their importance. These criteria encompass factors such as price capacity energy efficiency user-friendly features and brand reputation which are critical in influencing consumer decisions. The integration of Fuzzy AHP with TOPSIS addresses the subjective and uncertain nature of consumer choices providing a structured and quantifiable method to evaluate and rank air fryers. This methodology not only captures the qualitative aspects of consumer preferences but also offers a comparative analysis of the products in the market. The result is a comprehensive decision-making tool that guides consumers through a balanced evaluation of the options leading to an informed and satisfactory purchase. By combining these two advanced decision-making techniques the study aims to significantly contribute to consumer behavior research and decision support systems offering a pragmatic solution for navigating complex market offerings and identifying an air fryer that aligns with specific needs and preferences.
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    Intelligent Benders’ Decomposition Algorithm for Sequencing Multi-model Assembly Line with Sequence Dependent Setup Times Problem: A Case Study in a Garment Industry
    (Springer Science and Business Media Deutschland GmbH, 2023) Elvin Sarı; Mert Paldrak; Yaren Can; Tunahan Kuzu; Sude Dila Ceylan; Devin Duran; Mustafa Arslan Ornek; Ozan Can Yıldız; Sarı, Elvin; Ceylan, Sude Dila; Can, Yaren; Kuzu, Tunahan; Duran, Devin; Paldrak, Mert; Yıldız, Ozan Can; C. Kahraman , I.U. Sari , B. Oztaysi , S. Cevik Onar , S. Cebi , A.C. Tolga
    In recent years clothing manufactures aim at producing various of products with low stock in order to meet customer demand. Besides this fact the ready-made clothing industry needs to pursue science technology and innovation policies to keep up with the rapid change in the fashion industry. One of the most commonly used production systems in garment industry is assembly lines where parts are subsequently added until the end product is obtained. In garment industry on time delivery plays a vital role in increasing customer satisfaction while ensuring demand. Consequently setup times in assembly lines are of paramount importance to track the performance of production system. In this study the minimization problem of long setup times due to the wide variety of models produced in the garment industry is handled. A real-life production management problem is defined formulated as an MIP model and solved to improve customer delivery rate and to increase efficiency by minimizing setup time. To solve this problem to optimality two exact solution techniques namely Branch and Bound and Benders’ Decomposition Techniques are taken into consideration. The proposed mathematical model is solved with ILOG CPLEX OPTIMIZATION STUDIO version 20.1 and the solutions obtained using each technique are compared with respect to solution quality and computational time. © 2023 Elsevier B.V. All rights reserved.
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    Conference Object
    Optimal Inventory Share Policy Search for e-Grocery Food Supply Network
    (SPRINGER-VERLAG SINGAPORE PTE LTD, 2022) Berk Kaya; Dilara Dural; Mehmet Sager; Melike Akdogan; Asime Bengisu Ildesler; Mert Paldrak; Banu Yetkin Ekren; Dural, Dilara; Sağer, Mehmet; Kaya, Berk; Ekren, Banu Yetkin; Akdoğan, Melike; İldeşler, Asime Bengisu; Paldrak, Mert; NM Durakbasa; MG Gencyilmaz
    The study focuses on intercompany inventory share policies between e-groceries. Companies are attempting to adapt to the Internet of Things environment considering the increased amount of e-commerce throughout the world as well as the effect of the COVID-19 pandemic. The goal of the study is to create a strong bond between companies by taking advantage of today's technology and helps in the reduction of capital risk. These relationships may also lead to greater market share reduced inventory enhanced delivery services higher quality and faster product development cycles with the help of inventory visibility. This research studies two inventory sharing strategies among e-grocers to improve the supply network's efficiency and responsiveness. The policies considered in this study include share policies based on expiration dates and share policies based on distance - inventory. We use a simulation modeling technique to represent such policies. Besides in an effort to compare how lateral inventory share implementation affects the system performance non-inventory sharing policy has been modeled and these three policies were compared. The goal of this study is to determine the best s S inventory management levels in e-groceries under those rules. Here s and S represent re-order and order-up-to levels for replenishment of products. We are motivated to do this study to decrease food waste in such a food network since management of perishable food products is important owing to their perishable feature. Distance average freshness average inventory and waste product numbers were compared in this project based on the lowest inventory number in line with three main policies. The opt quest tool was used in the arena to find the results. Consequently company owners should choose Expiration Date policy as it has advantages such as total number of waste products and average inventory level.
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    Resolving Stakeholder Conflicts in Airport Gate Assignment: A Multi-objective Approach with Goal Programming and MIP Models
    (Springer Science and Business Media Deutschland GmbH, 2025) Mert Paldrak; Gamze Erdem; Melis Tan Tacoglu; Mustafa Arslan Ornek; Paldrak, Mert; Örnek, Mustafa Arslan; Tacoğlu, Melis Tan; Erdem, Gamze; N.M. Durakbasa , K.G. Gülen
    The Airport Gate Assignment Problem (AGAP) is a critical aspect of airport operations involving the assignment of gates to incoming and outgoing flights. In this study we model the AGAP as a multi-objective optimization problem addressing the conflicting preferences of key stakeholders: passengers airlines and airport management. Each stakeholder has distinct gate preferences creating challenges in balancing their competing objectives. To address these challenges we develop Mixed Integer Programming (MIP) models incorporating both assignment-based and time-tabling-based approaches. The solution process leverages Goal Programming techniques including Weighted Goal Programming Tchebychev Goal Programming and Lexicographic Goal Programming. The models are implemented and solved using IBM ILOG CPLEX Version 12.0 providing a robust framework for optimizing gate assignments while considering the complex trade-offs between stakeholder preferences. Our results offer insights into the effectiveness of these techniques in resolving conflicts and achieving an optimal balance in gate assignments. © 2025 Elsevier B.V. All rights reserved.
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    Fuzzy Model for Multi-objective Airport Gate Assignment Problem
    (Springer Science and Business Media Deutschland GmbH, 2023) Mert Paldrak; Melis Tan Tacoglu; Mustafa Arslan Ornek; Paldrak, Mert; Örnek, Mustafa Arslan; Tacoglu, Melis Tan; C. Kahraman , I.U. Sari , B. Oztaysi , S. Cevik Onar , S. Cebi , A.C. Tolga
    To address the increasing demand for air transportation the management allocation and efficient utilization of limited airport resources such as bridge-equipped gates are of paramount importance to improve the efficiency of the air transportation system. Bridge-equipped gates are scarce and immobile resources have a significant impact on airport management airlines and passenger convenience when utilized properly. Hence the gate assignment problem is an important problem involving multiple stakeholders with conflicting objectives. This study proposes a fuzzy model to tackle two objectives: maximization of overall utility of flight-gate assignments and maximization of the robustness of the assignment schedule simultaneously. Fuzzy variables are employed in order to represent the uncertainty of idle times between two consecutive flights served by the same bridge-equipped gate and their membership degrees express their effect on assignment robustness. An adjustment function is applied to combine these two objective functions into one. To handle this NP-hard problem in a reasonable amount of computational time a constructive heuristic algorithm is employed. The performance of the proposed fuzzy model is evaluated with the help of various test in instances of different sizes Two fuzzy distribution functions are tested and their comparison is provided. The simulation results demonstrate the applicability and effectiveness of the fuzzy model in addressing multi-objective airport gate assignment problem. © 2023 Elsevier B.V. All rights reserved.
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    Fuzzy Goal Programming Model for Sequencing Multi-model Assembly Line with Sequence Dependent Setup Times in Garment Industry
    (Springer Science and Business Media Deutschland GmbH, 2023) Elvin Sarı; Mert Paldrak; Tunahan Kuzu; Devin Duran; Yaren Can; Sude Dila Ceylan; Mustafa Arslan Ornek; Başak Erol; Sarı, Elvin; Ceylan, Sude Dila; Can, Yaren; Kuzu, Tunahan; Duran, Devin; Paldrak, Mert; Erol, Başak; C. Kahraman , I.U. Sari , B. Oztaysi , S. Cevik Onar , S. Cebi , A.C. Tolga
    In today’s competitive market the pressure on organizations to find ways to create value for customers and meet their requirements becomes stronger. In this manner clothing manufacturers focus on the production of various products with low stock to minimize their costs. In the garment industry assembly lines are commonly used production systems whose balance is the main concern of production managers. Meeting customer demand on-time is of outsized importance for the reputation of a clothing manufacturer and several objective functions must be considered simultaneously. In this study two objective functions namely minimization of setup times and minimization of lateness are handled to increase the efficiency of the assembly line and convenience to customers. A real-life problem in the garment industry is defined and formulated as a Fuzzy Goal Programming model since the aspiration levels of each objective are not certainly known. Two different Weighted Fuzzy Goal Programming Models are proposed and the proposed mathematical models are tackled with the help of ILOG IBM CPLEX OPTIMIZATION STUDIO version 20.1 and the solutions are interpreted from a decision-maker perspective. © 2023 Elsevier B.V. All rights reserved.
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    Citation - Scopus: 3
    Applications of Statistical Process Control Quality Improvement Tools and Techniques and a Simulation Model in a Garment Manufacturing Company
    (Springer Science and Business Media Deutschland GmbH, 2024) Pınar Erdinç; Zeynep Buduneli; Ceylin Erton; Çağla Gerşil; Mert Paldrak; Efthimia Staiou; Erton, Ceylin; Erdinç, Pınar; Paldrak, Mert; Gerşil, Çağla; Staiou, Efthymia; Buduneli, Zeynep; N.M. Durakbasa , M.G. Gençyılmaz
    In the dynamic landscape of contemporary industrial production achievement in consistent product quality is of a paramount importance for any manufacturing enterprise. Among the various industries that require precision and attention to detail the garment manufacturing sector stands as a prime example. In this context this study aims to improve the process of detection and prevention of substandard fabrics entering the production process in a garment manufacturing company. The study utilizes statistical process control techniques such as the Individual-Moving Range (I-MR) control charts to monitor fabric critical-to-quality characteristics. Furthermore acceptance sampling methods are implemented to ensure that only fabrics meeting specifications are accepted for production. Additionally the project addresses sewing-related issues by improving the quality control checkpoints along the sewing line by using simulation. By conducting experiments within the simulated environment different quality control checkpoint configurations are tested to identify the most effective setup. The findings contribute to enhancing quality management practices in fabric procurement and sewing line operations minimizing financial losses improving customer satisfaction and ultimately bolstering the competitiveness of the garment manufacturing company. Furthermore the results shed light on the benefits of using Arena simulation for conducting comprehensive and cost-effective quality control evaluations. © 2024 Elsevier B.V. All rights reserved.