Karataş Aygün, Nazli
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Name Variants
Nazlı Karatas Aygün
Job Title
Araş.Gör.
Email Address
Main Affiliation
01.01.09.03. Endüstri Mühendisliği Bölümü
Status
Current Staff
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ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
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Sustainable Development Goals
1NO POVERTY
0
Research Products
2ZERO HUNGER
0
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3GOOD HEALTH AND WELL-BEING
0
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4QUALITY EDUCATION
0
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5GENDER EQUALITY
0
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6CLEAN WATER AND SANITATION
0
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7AFFORDABLE AND CLEAN ENERGY
0
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8DECENT WORK AND ECONOMIC GROWTH
0
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
2
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10REDUCED INEQUALITIES
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11SUSTAINABLE CITIES AND COMMUNITIES
0
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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13CLIMATE ACTION
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14LIFE BELOW WATER
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15LIFE ON LAND
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
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17PARTNERSHIPS FOR THE GOALS
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Documents
6
Citations
4
Scholarly Output
11
Articles
2
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0/0
Supervised MSc Theses
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Supervised PhD Theses
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WoS Citation Count
4
Scopus Citation Count
6
Patents
0
Projects
0
WoS Citations per Publication
0.36
Scopus Citations per Publication
0.55
Open Access Source
0
Supervised Theses
0
| Journal | Count |
|---|---|
| International Symposium for Production Research ISPR 2020 | 2 |
| International Symposium for Production Research ISPR2021 | 2 |
| International Symposium for Production Research ISPR 2023 | 2 |
| 7th International Conference on Intelligent and Fuzzy Systems INFUS 2025 | 2 |
| IEEE Systems Journal | 1 |
Current Page: 1 / 2
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11 results
Scholarly Output Search Results
Now showing 1 - 10 of 11
Conference Object Identifying Inefficiencies in Towel Pan Production Through Value Stream Mapping(Springer Science and Business Media Deutschland GmbH, 2025) Çağkan Baydoğan; Dila Özcan; Öykü Tuna; Selin Ersel; Simay Ceylan; Erdinc Oner; Nazlı Karatas Aygün; Ceylan, Simay; Aygun, Nazli; Oner, Erdinc; Ersel, Selin; Tuna, Oyku; Ozcan, Dila; Baydogan, Cagkan; C. Kahraman , B. Oztaysi , S. Cebi , S. Cevik Onar , C. Tolga , I. Ucal Sari , I. OtayIn modern industrial facilities optimizing production lines is essential for improving efficiency and minimizing waste. This study presents an original application of Value Stream Mapping (VSM) combined with Arena simulation to identify and address inefficiencies in a towel pan manufacturing facility—a previously unexplored context in Lean Manufacturing research. By mapping the current state and simulating workflows the research uncovers critical bottlenecks excessive waiting times and resource allocation imbalances while introducing two key contributions: (1) a hybrid VSM-simulation methodology to validate process improvements in thermal comfort product manufacturing bridging gaps in low-volume production systems and (2) data-driven Kaizen bursts targeting non-value-added activities (NVAs) such as manual Kanban systems and material handling inefficiencies. These findings advance both theory and practice by demonstrating VSM’s adaptability to complex low-volume environments and providing actionable Lean insights ultimately underscoring the role of systematic diagnostics and simulation as pivotal tools for sustainable process optimization. © 2025 Elsevier B.V. All rights reserved.Conference Object Distribution Planning of LPG to Gas Stations in the Aegean Region(SPRINGER-VERLAG SINGAPORE PTE LTD, 2022) Berfin Alkan; Berfin Dilsan Kikizade; Buse Karadan; Cagatay Duysak; Elif Hande Kupeli; Emre Yagiz Turan; Tugce Dilber; Erdinc Oner; Nazli Karatas Aygun; Küpeli, Elif Hande; Kikizade, Berfin Dilsan; Aygün, Nazlı Karataş; Duysak, Çağatay; Turan, Emre Yağız; Karadan, Buse; Alkan, Berfin; NM Durakbasa; MG GencyilmazThis study considers the application of LPG distribution to stations in the Aegean region in Turkey. There is a distribution center in Aliaga which collects the orders and distributes LPG to the gas stations. The problem is to determine the shortest routes with the minimum number of trucks at minimum cost. This problem was modeled as a vehicle routing problem and then extended to capacitated vehicle routing problem with time windows (CVRPTW) to increase the service quality and adapt the problem to real life. The small size models were solved by CPLEX Optimization Studio. It was not possible to obtain optimal solutions for problem instances with 41 stations and larger number of gas stations since respective problems are NP-hard. Therefore several heuristics are applied to solve the problem such as Clarke and Wright algorithm Nearest Neighborhood and The Best Decision (TBD) algorithms. Clarke and Wright and Nearest Neighborhood heuristics are already defined in literature. However TBD heuristics is a novel approach proposed in this study. Computational results shows that Clarke and Wright algorithm is found to give the best results to solve the CVRPTW problem. A user friendly decision support system is developed to implement the heuristics to solve the problem.Conference Object Cost-Optimal Egg Procurement Planning via MILP: A Smart System for Demand Satisfaction Under Fuzzy Constraints(Springer Science and Business Media Deutschland GmbH, 2025) Canan Akgün; Nazlı Karatas Aygün; Yağmur Başgöl; Melisa Deligöz; Levent Kandiller; Ataberk Köseoğlu; Duru Özcanlı; Özcanlı, Duru; Deligöz, Melisa; Aygün, Nazlı Karataş; Akgün, Canan; Kandiller, Levent; Başgöl, Yağmur; Köseoğlu, Ataberk; C. Kahraman , S. Cebi , B. Oztaysi , S. Cevik Onar , C. Tolga , I. Ucal Sari , I. OtayThis study optimizes turkey egg supply planning for a meat production company. The primary objective is to determine optimal weekly procurement quantities that minimize costs while effectively meeting production demands and hatchery schedules. Both domestic and international suppliers with varying capacities transportation and costs are handled. The originality of this study lies in integrating detailed real-world constraints—supplier variability international logistics complexities regulatory requirements breed-specific considerations and hatchery limitations—through an inclusive Mixed-Integer Linear Programming (MILP) model. For balanced resource allocation suppliers breed types and penalty costs applied to excess supply and unmet demand are assigned. Procurement decisions all together optimize transportation customs clearance ordering costs and supplier selection. Computational experiments using real-life data demonstrate improved procurement efficiency reduced waste due to surplus and perishability and enhanced operational stability. This approach prevents bottlenecks ensuring cost-effective resource utilization. Results validate the model’s effectiveness in streamlining procurement strategies for perishable goods supply chains. © 2025 Elsevier B.V. All rights reserved.Conference Object Citation - Scopus: 1Customer Order Scheduling in Hybrid Flow Shop Manufacturing System(Springer Science and Business Media Deutschland GmbH, 2021) Eylül Kacar; Esra Karakoç; İrem Kartop; Almira Öztürk; Görkem Bozkurt; Nazlı Karatas Aygün; Erdinc Oner; Kartop, İrem; Kacar, Eylül; Bozkurt, Görkem; Aygün, Nazli; Öner, Erdinç; Karakoç, Esra; Öztürk, Almira; N.M. Durakbasa , M.G. GençyılmazThe problem of customer order scheduling in a paint company that has five production stages is handled in this study. The production stages are pre-mixing grinding sub-addition quality control and filling. At each of these stages several identical and unrelated parallel machines are available. Customer orders are assigned to exactly one machine at each stage and do not have to be processed in all stages. As a result of the comprehensive literature review our problem is categorized as hybrid flow shop scheduling for the production system of the company. The mathematical model is developed by utilizing the existing studies in the literature. This developed mathematical model is solved and optimal results are obtained for small-size problem instances. According to the analysis of the results generated by the mathematical model and the literature the problem is found to be NP-hard. Since the problem is NP-hard a heuristic algorithm is proposed for the solution of larger job sizes. Considering its convenience and applications in the scheduling literature GA is selected as a heuristic algorithm to solve our proposed model. Utilizing a genetic algorithm jobs are sorted and assigned to the proper machines to minimize the sum of earliness and tardiness. As a novel approach a user-friendly DSS is designed in addition to efficient scheduling. The designed DSS targets to respond to changes made by the user instantly. © 2020 Elsevier B.V. All rights reserved.Article Citation - WoS: 4Citation - Scopus: 5A Framework for Capacity Expansion Planning in Failure-Prone Flow-Networks via Systemic Risk Analysis(Institute of Electrical and Electronics Engineers Inc., 2022) Nazlı Karatas Aygün; Önder Bulut; Emrah Biyik; Aygun, Nazl Karatas; Bulut, Onder; Biyik, EmrahIn this article a capacity expansion framework is proposed for failure-prone flow-networks. A systemic risk measure that quantifies the risk of unsatisfied demand due to cascaded edge failures is considered. To minimize the total cost of additional edge capacities while keeping the risk of unsatisfied demand below a certain threshold a general stochastic optimization problem is formulated. The distribution of unsatisfied demand is calculated via Monte-Carlo simulations embodied within a grid search algorithm that identifies the feasible region. Thereafter the cost-optimal edge capacity expansion plan is computed by a differential evolution algorithm. Contributions of this article are: 1) consideration of both immediate investment and future risk costs of capacity expansion plans, 2) a generic flow-network model that can be tuned for different real-life applications, 3) addressing the stochastic nature of both supply and demand simultaneously within a systemic risk framework, 4) use of eigenvector centrality for edge grouping in systemic risk analysis. An extensive numerical study is performed to investigate the effects of different edge grouping methods characteristics of stochastic components and cost parameters on the feasible region and optimal solution. The proposed framework is also demonstrated on a case study adapted from ERCOT 13-bus test system. © 2022 Elsevier B.V. All rights reserved.Conference Object Shipment Planning: A Case Study for an Apparel Company(Springer Science and Business Media Deutschland GmbH, 2022) Ceren Metinoğlu; Deniz Tetik; Egemen Ozgorenler; İlker Avcı; İrem Ersoy; Mustafa Akgül; Sena Alaboğa; Nazlı Karatas Aygün; Adalet Oner; N.M. Durakbasa , M.G. GençyılmazThis study includes the analysis of the shipment planning problem for a large textile company in Turkey. The aim is to develop an effective solution method to the problem and thus reduce the shipping costs associated with internal logistics operations. A formal definition of the problem is made and all the parameters and inputs are clearly explained and determined. An original mixed-integer programming model has been proposed to solve the problem although it is not practical in real-world problems since it requires a very long time to get the optimal solution. Therefore a heuristic method is developed to obtain near-optimal solutions. The performance of the heuristic method has been tested and verified. A simple decision support system with user-friendly interfaces has been developed to implement the heuristic method as a practical shipment planning tool. © 2022 Elsevier B.V. All rights reserved.Conference Object Improving the Throughput of Pipe and Tube Production: A Case Study(Springer Science and Business Media Deutschland GmbH, 2021) Aytaç Ali Aslaner; Aysu Gürokur; Enes Turan; Karya Varol; Melisa Menemenlioğlu; Ömer Faruk Çorum; Yağmur Aydoğan; Nazlı Karatas Aygün; Erdinc Oner; Aslaner, Aysu; Turan, Enes; Öner, Erdinç; Gürokur, Aysu; Menemenlioğlu, Melisa; Çorum, Ömer Faruk; Varol, Karya; N.M. Durakbasa , M.G. GençyılmazThe facility layout is an important issue affecting the productivity of manufacturing systems. For an organization to have an effective and efficient manufacturing unit special attention must be given to facility layout. Well-designed facilities result in efficient materials handling reduced resource transportation times and decreased production cycle times. Besides effective layouts are known to greatly impact operational performance. Improving the facility layout considering the flow amounts between machines improves the performance of the system. Designing an optimal layout provides the efficiency of material handling and reduces the distance traveled. In this study the locations and quantities of the work in process (WIP) inventory areas and the locations of the machines are determined. Mixed Integer Programming (MIP) is used for formulating and representing the problem. The objective function of the mathematical model is to minimize distances between the machines with high material flows. The mathematical model is solved using an optimization program. The iterative heuristic algorithm using the same optimization approach is designed as an alternative solution method to develop the mathematical model. In addition to the layout optimization the amount and the size of WIP inventory areas are calculated using the daily production plan. The results of the study are put together in an applicable user-friendly and adaptable Decision Support System (DSS). The new plant layout has been compared with the current plant layout using the DSS. The company will produce more effectively with less material handling using the DSS. © 2020 Elsevier B.V. All rights reserved.Conference Object Capacity Expansion Through Bottleneck Analysis for an OEM Company(Springer Science and Business Media Deutschland GmbH, 2024) Arda Ali Bayraktar; Gülşah Coşkunseda; Ege Salman; Ayhan Özgür Toy; Nazlı Karatas Aygün; Coşkunseda, Gülşah; Salman, Ege; Toy, Ayhan Özgür; Aygün, Nazlı Karataş; Bayraktar, Arda Ali; N.M. Durakbasa , M.G. GençyılmazIn collaboration with Totomak A.Ş this study addresses a critical challenge in heavy machining: identifying and resolving bottlenecks in a recently established crankshaft production line. Our approach to the problem includes a series of steps and advanced computer simulations that meticulously uncover problems and formulate solutions to ensure that production seamlessly matches original plans. In addition the research examines various scenarios subjecting each scenario to a comprehensive cost analysis. These efforts contribute significantly to the overall goal of increasing operational efficiency in the heavy machining sector. Beyond the immediate benefits the study provides a practical and evidence-based method that can address the complex details of manufacturing systems. This has the potential to improve efficiency and strengthen competitiveness in this important industry providing a clear path to greater productivity and success. © 2024 Elsevier B.V. All rights reserved.Conference Object Distribution Planning of LPG to Gas Stations in the Aegean Region(Springer Science and Business Media Deutschland GmbH, 2022) Berfin Alkan; Berfin Dilsan Kikizade; Buse Karadan; Çağatay Duysak; Elif Hande Küpeli; Emre Yağız Turan; Tugce Dilber; Erdinc Oner; Nazlı Karatas Aygün; N.M. Durakbasa , M.G. GençyılmazThis study considers the application of LPG distribution to stations in the Aegean region in Turkey. There is a distribution center in Aliağa which collects the orders and distributes LPG to the gas stations. The problem is to determine the shortest routes with the minimum number of trucks at minimum cost. This problem was modeled as a vehicle routing problem and then extended to capacitated vehicle routing problem with time windows (CVRPTW) to increase the service quality and adapt the problem to real life. The small size models were solved by CPLEX Optimization Studio. It was not possible to obtain optimal solutions for problem instances with 41 stations and larger number of gas stations since respective problems are NP-hard. Therefore several heuristics are applied to solve the problem such as Clarke and Wright algorithm Nearest Neighborhood and The Best Decision (TBD) algorithms. Clarke and Wright and Nearest Neighborhood heuristics are already defined in literature. However TBD heuristics is a novel approach proposed in this study. Computational results shows that Clarke and Wright algorithm is found to give the best results to solve the CVRPTW problem. A user friendly decision support system is developed to implement the heuristics to solve the problem. © 2022 Elsevier B.V. All rights reserved.Conference Object Analysis of a Turkey Meat Production Agri-Chain: A Simulation Study(Springer Science and Business Media Deutschland GmbH, 2024) Nazlı Karatas Aygün; Levent Kandiller; Önder Bulut; Aygün, Nazli Karataş; Kandiller, Levent; Bulut, Önder; N.M. Durakbasa , M.G. GençyılmazPoultry meat will take the greatest share of global meat consumption within ten years because of the ongoing increase. It is anticipated that this upward trend in consumption will result in a rise in the amount of poultry meat produced. Poultry meat agri-chains are composed of various interdependent components including a hatchery many farms and coops and a slaughterhouse generally. The current study tackles the analysis of a real-life agri-chain reaction to changes in hatchery slaughterhouse and farm/coop capacities under different stochastic demand parameters. A discrete-event simulation model is used. The simulation model introduced here is a generic model such that model parameters can be played to reveal different real-life cases. After verifying the model using a toy problem the model is used to observe the impacts of several model parameters on the system-wide performance measures. © 2024 Elsevier B.V. All rights reserved.
