Güçlükol Ergin, Simge
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Simge Güçlükol Ergin
Job Title
Araş.Gör.
Email Address
Main Affiliation
01.01.09.03. Endüstri Mühendisliği Bölümü
Status
Former Staff
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ORCID ID
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Sustainable Development Goals
1NO POVERTY
0
Research Products
2ZERO HUNGER
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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
0
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10REDUCED INEQUALITIES
0
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11SUSTAINABLE CITIES AND COMMUNITIES
1
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
1
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13CLIMATE ACTION
0
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14LIFE BELOW WATER
0
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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
4
Citations
7
h-index
2
Documents
3
Citations
2
Scholarly Output
10
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0/0
Supervised MSc Theses
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Supervised PhD Theses
0
WoS Citation Count
2
Scopus Citation Count
8
Patents
0
Projects
0
WoS Citations per Publication
0.20
Scopus Citations per Publication
0.80
Open Access Source
0
Supervised Theses
0
| Journal | Count |
|---|---|
| 22nd International Symposium for Production Research ISPR 2022 | 2 |
| Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference | 2 |
| International Conference on Intelligent and Fuzzy Systems INFUS 2022 | 2 |
| International Symposium for Production Research ISPR 2023 | 2 |
| 4th International Conference on Intelligent and Fuzzy Systems (INFUS) | 1 |
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Conference Object Warehouse Design and Order Picking Algorithms for Apparel Industry(Springer Science and Business Media Deutschland GmbH, 2024) Deniz Su Güntekin; Egemen Şahin; Elif Ünlü; Nesrin Özbay; Mahmut Ali Gökçe; Simge Güçlükol Ergin; Güntekin, Deniz Su; Gökçe, Mahmut Ali; Şahin, Egemen; Ünlü, Elif; Özbay, Nesrin; Ergin, Simge Güçlükol; N.M. Durakbasa , M.G. GençyılmazWarehouse management has a critical role for success for the apparel industry. It is important because it ensures effective inventory control efficient order fulfillment optimal space utilization labor efficiency cost reduction and customer satisfaction which all directly effects the bottom line. A particularly important part of this optimization includes the design of the warehouse. In this study various product placement and order-picking scenarios have been studied in combination with numerous warehouse designs and implementation is presented for a large apparel company. The implementation was done in the warehouse of one of the largest Retail Textile Company specializing in women’s apparel production. First a comprehensive literature review was conducted for this study. As a result of the literature review different picking and routing algorithms were combined. The solution was developed first by building a simulation model. Different placement scenarios scenarios for assigning orders to workers and routing algorithms are presented in conjunction with warehouse designs. The aim is to reduce the total product placement and picking times and increase the efficiency of workers by utilizing different placement and picking algorithms. With this study the total placement and picking time is reduced by 36.56% compared to the current system. © 2024 Elsevier B.V. All rights reserved.Conference Object Fuzzy TOPSIS and Goal Programming Approaches to Multi Objective Facility Location Problem for Emergency Goods and Services Distribution and Bornova/Izmir Case Study(Springer Science and Business Media Deutschland GmbH, 2022) Mert Paldrak; Simge Güçlükol Ergin; Mahmut Ali Gökçe; Melis Tan Tacoglu; Gökçe, Mahmut Ali; Tan Tacoğlu, Melis; Paldrak, Mert; Güçlükol, Simge; Tacoglu, Melis Tan; C. Kahraman , S. Cevik Onar , B. Oztaysi , I.U. Sari , A.C. Tolga , S. CebiDistributions of vital goods and services in emergency or post disaster situations are of paramount importance to be able to meet the requirements of those in need on time. Finding an appropriate location for facilities to distribute such goods and services efficiently and quickly is an important challenge. In such a situation location decisions for these facilities must be made quickly considering multiple objectives. This problem is a multi-objective facility location problem (MOFLP). The main focus of this study is to present two solution methodologies for a MOFLP in a post disaster situation. We specifically consider objective of minimizing maximum weighted distance traveled and minimizing total cost of facilities to be opened in order to satisfy all demand. We also provide a version of the problem when the number of facilities to be opened is limited and second objective becomes maximizing demand covered. Due to the conflicting nature of the objective functions we propose to apply Fuzzy TOPSIS and Goal Programming and compare the solutions obtained using these two techniques with respect to solution quality and computational time. We present the developed models and provide results from a real-life application using existing emergency assembly areas and current census data for Bornova/İzmir. This paper contributes in two ways to existing literature. First is the comparison between multiple (two) solution methodologies for MOPLP. Studies in the literature provide only one solution technique such as Fuzzy TOPSIS Goal Programming etc. Secondly we implement these methodologies by using real life data for emergency situations. © 2022 Elsevier B.V. All rights reserved.Conference Object Citation - Scopus: 1Matheuristic Algorithm for Automated Guided Vehicle (AGV) Assisted Intelligent Order Picking(Springer Science and Business Media Deutschland GmbH, 2023) Simge Güçlükol Ergin; Mahmut Ali Gökçe; Gökçe, Mahmut Ali; Ergin, Simge Güçlükol; C. Kahraman , I.U. Sari , B. Oztaysi , S. Cevik Onar , S. Cebi , A.C. TolgaWarehouse management plays an important role in the supply chain. It has received attention from academics and the industry for many years. During this time warehouse management processes have evolved like all other systems in the industry. Preparing orders faster has a key role for companies with an increasing demand from online shopping. The requirements for rapid response to customers have increased. Meanwhile the use of automated guided vehicles (AGVs) has increased because they are used to collect items by pickers in warehouses to prepare customer orders. Assignments of orders to AGVs and routing of AGVs should be done quickly and efficiently to prepare orders. Due to the NP-hardness of the problem it is difficult to solve realistic-size problems in an acceptable amount of time especially when orders from online shopping flow at a fast pace. In this study a new matheuristic algorithm was proposed to minimize the total traveled distance by all AGVs to collect orders with a minimum number of AGVs. This helps to reach a more sustainable system. Minimizing the distance of all AGVs helps for rapid responses to customers’ orders with minimum total energy/cost. Experimental results were provided to compare the computational complexities and performances of the models in this paper. The proposed novel matheuristic algorithm was shown to create intelligent order picking operations in warehouses within a reasonable computational time. © 2023 Elsevier B.V. All rights reserved.Conference Object Citation - WoS: 2Citation - Scopus: 5A Literature Review on Supplier Selection Problem and Fuzzy Logic(SPRINGER INTERNATIONAL PUBLISHING AG, 2022) Mert Paldrak; Gamze Erdem; Melis Tan Tacoglu; Simge Guclukol; Efthimia Staiou; Tan Tacoğlu, Melis; Paldrak, Mert; Guclukol, Simge; Staiou, Efthimia; Tacoglu, Melis Tan; Erdem, Gamze; C Kahraman; AC Tolga; SC Onar; S Cebi; B Oztaysi; IU SariGiven the recent increasing competition in global market supplier selection and evaluation has attracted a great deal of attention especially at academic levels. Supplier selection problem is a complex problem since there exist a great number of unpredictable and uncontrollable factors which have a huge impact on decision-making process. Due to this complexity there are several criteria that must be taken into consideration such as cost quality on-time delivery proximity of suppliers long-term relationship etc. Although some of these criteria (quantitative) can be expressed using pure numeric scales some (qualitative) are linguistic due to the human assessments which contain some degree of subjectivity. Since involvement of human assessment causes vagueness for deterministic models the authors apply fuzzy logic which enables the decision makers to be able to convert their linguistic expressions into fuzzy numbers with the help of fuzzy membership functions. Considering that fuzzy logic plays a vital role in solving multi-criteria supplier selection problem this paper aims to present a review of supplier selection problem and its relation with fuzzy logic. In this paper several studies that highlight supplier selection problem and the importance of fuzzy logic involvement in the problem have been reviewed. An analysis of multi-criteria decision-making methods for supplier selection problem is conducted.Conference Object Multi-stage Inventory Management and Transportation Planning(Springer Science and Business Media Deutschland GmbH, 2023) Canan Özsümbül; Mert İşbilen; Deniz Simge Oriyaşın; Beste Bandioğlu; İsmail Egemen Akpınar; Mücahit Taha Kaya; Remzi Sertan Altınkaya; Simge Güçlükol Ergin; Ayhan Özgür Toy; İşbilen, Mert; Oriyaşın, Deniz Simge; Bandioğlu, Beste; Kaya, Mücahit Taha; Özsümbül, Canan; Akpınar, İsmail Egemen; Toy, Ayhan Özgür; N.M. Durakbasa , M.G. GençyılmazEffective inventory management enables us to meet customer demand by ensuring the delivery of the right products that customers need on time. Likewise the correct design of the supply chain contributes to the effectiveness of stock management. Companies increase customer satisfaction by making effective stock planning. A petroleum company which located in Izmir also aims at accurate and effective stock management. The company decides to determine the product variety and product quantity that should be in the stocks of the micro warehouses to be established in 5 different regions. In this study our objectives are (i) to identify which product should be stored at each micro depot based on the demand forecasting model we develop (ii) to allocate storage capacities to the products (iii) to determine ordering instances and (iv) to conduct an optimal aggregate transportation plan with the given fleet size of different vehicles. The most demanded products for each region were determined by performing ABC analysis with 2 criteria. Since the products selected according to the ABC analysis will be transported to the micro warehouses by 3 different types of vehicles a transportation planning model has been constructed. In order to decide on the ordering policy of the specified products in the micro warehouses 2 different dynamic simulation models were created on a unit basis and on a pallet basis by using the Arena Simulation program with the objective of satisfying a certain service level. © 2024 Elsevier B.V. All rights reserved.Conference Object A Warehouse Management Decision Support System for a Spare Parts Company(Springer Science and Business Media Deutschland GmbH, 2024) Burak Kurt; Güner Şirin; Melis Karakurt; Sevde Zümrüt İspay; Simge Güçlükol Ergin; Levent Kandiller; Karakurt, Melis; Kurt, Burak; İspay, Sevde Zümrüt; Şirin, Güner; Kandiller, Levent; Ergin, Simge Güçlükol; N.M. Durakbasa , M.G. GençyılmazWarehouse management is considered one of the essential components of a supply chain. Inadequate storage space and inefficient available storage are common problems in designing warehouses. This study underlines the need for an effective warehouse management policy because of the limited space for finished goods. The complementary solution is to ensure the highest-selling inventory is easily accessible by placing it at the most accessible point. The position of the finished goods and deciding the sequence of routes to perform the fastest loading and unloading work are critical factors in reaching maximum efficiency. This project aims to provide easy access to stored goods and minimize the travel time between the picking and the placing positions to avoid inefficient routes and disruptions by strategically planning the warehouse layout design and running each operation in the best sequential manner. © 2024 Elsevier B.V. All rights reserved.Conference Object Multi Objective Optimization for Intelligent Scheduling and Routing of Automated Guided Vehicle (AGV) Assisted Order Picking(Springer Science and Business Media Deutschland GmbH, 2024) Simge Güçlükol Ergin; Mahmut Ali Gökçe; C. Kahraman , S. Cevik Onar , B. Oztaysi , I. Ucal Sari , S. Cebi , A.C. TolgaThis study addresses the complexities of efficient warehouse management and order picking crucial for modern supply chain success. It focuses on the implementation of Automated Guided Vehicles (AGVs) to enhance order picking processes involving selecting and retrieving items to fulfill customer orders. Challenges such as suboptimal picking strategies poor layout and lack of realtime visibility leads to inefficiencies. The research introduces a multi-objective mathematical model and a novel clustering algorithm aimed at optimizing AGVassisted order picking by balancing the minimization of travel distance and AGV energy consumption against the investment cost of purchasing new AGVs. The model seeks to efficiently assign orders to AGVs and determine optimal routing to reduce total travel distance addressing the trade-off between operational efficiency and investment costs. The results obtained from executing the experimental design demonstrate that the proposed algorithm can solve most instances more quickly while the mathematical model is particularly effective in reducing travel distances. © 2024 Elsevier B.V. All rights reserved.Conference Object Fuzzy Goal Programming Approach to Multi-objective Facility Location Problem for Emergency Goods and Services Distribution(Springer Science and Business Media Deutschland GmbH, 2023) Mert Paldrak; Simge Güçlükol Ergin; Gamze Erdem; Melis Tan Tacoglu; Paldrak, Mert; Tacoğlu, Melis Tan; Ergin, Simge Güçlükol; Erdem, Gamze; C. Kahraman , I.U. Sari , B. Oztaysi , S. Cevik Onar , S. Cebi , A.C. TolgaEnsuring the distribution of vital goods and services during emergency or post-disaster situations is crucial for meeting the needs of those affected as quickly as possible. The challenge lies in finding suitable and pertinent locations for facilities to efficiently distribute these goods and services. In such a situation location decisions for these facilities must be made considering multiple objectives. However in such a real-life problem the aspiration levels of each of the objectives are not certainly known due to unpredictable results of a disaster. Consequently the problem is formulated as fuzzy multi-objective facility location problem where two objectives are taken into consideration. We specifically consider minimization of total cost of facilities to be opened and minimization of total distance travelled by victims. Due to the conflicting nature of these objective functions we propose to employ two different fuzzy weighted goal programming techniques to find suitable compromise solutions for the problem. We present our developed models and provide results for three instances with different sizes. The proposed models are coded using IBM CPLEX Optimizer to obtain solutions in a reasonable amount of computational time. This paper contributes to the literature by providing two different fuzzy weighted goal programming techniques and comparing their efficiencies. © 2023 Elsevier B.V. All rights reserved.Conference Object Citation - Scopus: 2Course Scheduling Problem and Real-Life Implementation(Springer Science and Business Media Deutschland GmbH, 2023) Ali Berk Behrenk; Simge Güçlükol Ergin; Ayhan Özgür Toy; Güçlükol Ergin, Simge; Toy, Ayhan Özgür; Behrenk, Ali Berk; N.M. Durakbasa , M.G. GençyılmazCourse scheduling and classroom assignment problem is a common problem for all educational fields. It is an NP Hard problem. Especially universities should handle this problem while preparing course timetabling for each level due to elective courses and students taking upper/lower-level courses. There is a vast literature on this problem both for modelling and solution approaches. Although the essence of the problems is similar for the most each problem has some unique restriction and/or parameters. We study the timetabling of the courses of Industrial Engineering program at Yaşar University. We develop a mathematical model to maximize the minimum lecturer satisfaction. Due to the computational complexity of the problem we proposed a heuristic solution method namely the Genetic Algorithm. Gene structure we use ensures the feasibility of many constraints of the mathematical model. Computational results of optimal and heuristic method are compared. As a real-life implementation a university in Turkey Industrial Engineering Department data is used and results were reported. © 2024 Elsevier B.V. All rights reserved.Conference Object A Literature Review on Supplier Selection Problem and Fuzzy Logic(Springer Science and Business Media Deutschland GmbH, 2022) Mert Paldrak; Gamze Erdem; Melis Tan Tacoglu; Simge Güçlükol Ergin; Efthimia Staiou; C. Kahraman , S. Cevik Onar , B. Oztaysi , I.U. Sari , A.C. Tolga , S. CebiGiven the recent increasing competition in global market supplier selection and evaluation has attracted a great deal of attention especially at academic levels. Supplier selection problem is a complex problem since there exist a great number of unpredictable and uncontrollable factors which have a huge impact on decision-making process. Due to this complexity there are several criteria that must be taken into consideration such as cost quality on-time delivery proximity of suppliers long-term relationship etc. Although some of these criteria (quantitative) can be expressed using pure numeric scales some (qualitative) are linguistic due to the human assessments which contain some degree of subjectivity. Since involvement of human assessment causes vagueness for deterministic models the authors apply fuzzy logic which enables the decision makers to be able to convert their linguistic expressions into fuzzy numbers with the help of fuzzy membership functions. Considering that fuzzy logic plays a vital role in solving multi-criteria supplier selection problem this paper aims to present a review of supplier selection problem and its relation with fuzzy logic. In this paper several studies that highlight supplier selection problem and the importance of fuzzy logic involvement in the problem have been reviewed. An analysis of multi-criteria decision-making methods for supplier selection problem is conducted. © 2022 Elsevier B.V. All rights reserved.
