Mullaoğlu, Gizem
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Dr.Öğr.Üyesi
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01.01.09.03. Endüstri Mühendisliği Bölümü
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Former Staff
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Sustainable Development Goals
1NO POVERTY
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2ZERO HUNGER
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3GOOD HEALTH AND WELL-BEING
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4QUALITY EDUCATION
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5GENDER EQUALITY
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6CLEAN WATER AND SANITATION
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7AFFORDABLE AND CLEAN ENERGY
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8DECENT WORK AND ECONOMIC GROWTH
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
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10REDUCED INEQUALITIES
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11SUSTAINABLE CITIES AND COMMUNITIES
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
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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
3
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4
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Scholarly Output
4
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2
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Supervised MSc Theses
1
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WoS Citation Count
1
Scopus Citation Count
4
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WoS Citations per Publication
0.25
Scopus Citations per Publication
1.00
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0
Supervised Theses
1
| Journal | Count |
|---|---|
| Journal of Industrial and Production Engineering | 1 |
| Periodicals of Engineering and Natural Sciences | 1 |
| Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management IOEM 2020 | 1 |
Current Page: 1 / 1
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4 results
Scholarly Output Search Results
Now showing 1 - 4 of 4
Article Industry 4.0 challenges to IE paradigms: A pilot study in materials handling(International University of Sarajevo, 2020) Gizem Mullaoğlu; Sencer Yeralan; Yeralan, Sencer; Mullaoğlu, GizemIndustrial engineering practices are expected to be affected by and most likely adapt to the new paradigms of Industry 4.0. Early indications in practice as well as extrapolations from the current technology trends point toward a few fundamental features. Among these are further integration leaner and hence more agile practices and the use of real-time data. The final objective is to reduce complexity while striving for real-time supply- and production-chain optimization. We argue that the optimization of highly integrated production systems cannot be sought by simply aggregating the known operations management tools of industrial engineering. Specifically we present evidence gleaned from a recent industrial project that indicates how as the systems become more integrated the concept of operations optimization needs to be revisited. Our work has two distinct contributions to the literature. We develop and present a state-of-the-art optimization model for a joint materials handling inventory and scheduling model. The model incorporates aspects of the knapsack bin packing vehicle routing and inventory control formulations. Further we show that simply collecting existing industrial engineering models into larger aggregations albeit in line with the current best practices of our profession will not necessarily suffice to completely fulfill the ambitions of Industry 4.0. © 2021 Elsevier B.V. All rights reserved.Article Citation - WoS: 1Citation - Scopus: 3Variations of Double Coverage Ambulance Location Model Using Call Volume and Population Data(Taylor and Francis Ltd. michael.wagreich@univie.ac.at, 2019) Gizem Mullaoğlu; Gorkem Sariyer; Sariyer, Gorkem; Mullaoglu, GizemIn Emergency Medical Services (EMS) ability to respond to emergency situations rapidly is very crucial. One of the main decisions that need to be made by the EMS provider is to locate available ambulances in an efficient way that all possible demand can be covered at a reasonable amount of time. For the ambulance location problem we propose three new optimization models employing Double Standard Model as a base. We make an elaborate analysis to decide on the minimum number of ambulances required in each location. Using real-life data from İzmir Turkey proposed optimization models are solved for both the population and the call volume data. Consequently this study mainly showed that in solving ambulance location problem the use of call volume data and preparing periodical plans are more efficient than using either population data or preparing plans based on daily call volume data. © 2020 Elsevier B.V. All rights reserved.Conference Object Citation - Scopus: 1Optimization of review periods and (S s) levels of floor stock items in a paint production environment(IEOM Society, 2020) Banu Yetkin Yetkin Ekren; Gizem Mullaoğlu; Mullaoğlu, Gizem; Ekren, Banu YetkinIn this paper a mixed integer linear programming model is proposed in order to optimize review periods and (s S) inventory levels of floor stock items (FSIs) in a paint production facility to decrease the number pauses in the production process. In the model power-of-two policy for periodic review scenario is considered. The optimum review periods are determined for multi-item types satisfying pre-defined cycle service level (CSL) under a capacity constraint. It is significant to determine the optimum review periods and safety stock levels of FSIs to be hold in the floor stock storage areas (FSSAs) so that the number of stops will be minimized in the production process. We model the problem as multi-item single-echelon inventory system using periodic review (s S) policy. In the facility raw materials are hold in nine inside inventory locations which are supplied from the main warehouse whose capacity is infinite. The objective function is considered as minimization of total number of reviews completed in a year i.e. the total number of transportations completed from the main warehouse. The results indicate that there is a positive correlation between the review periods and the difference between the S and s values. © 2020 Elsevier B.V. All rights reserved.Master Thesis Yanal aktarma politikalarının tedarik zinciri ağları için çok amaçlı en iyileme ve benzetim modellerine etkisi(2020) Bayram, Serkan; Mullaoğlu, GizemSupply chain systems play a crucial role to meet customer demands on time, especially in competitive markets. Nowadays, these systems have to consider the environment as much as economical perspectives because of the increase in carbon emission awareness and possible future regulations. Therefore, in this thesis, we developed a multi-objective mixed-integer programming and simulation models while allowing lateral transshipment distribution strategy which provides product transportation within the echelons. Also, electric vehicles are considered in these models to give more opportunities to reduce carbon emissions. As a result of these models' computational studies, it has been observed that lateral transshipment could increase the efficiency of the supply chain. However, it has been noticed that when carbon emission is more superior to the total cost, less lateral transshipment occurs. Therefore, we can conclude that even though lateral transshipment provides efficiency in the total cost, it is less favorable when carbon emission is more important. Moreover, it has been observed that electric vehicles have a positive effect on total carbon emission and total cost as expected. Hence, electric vehicles can play a crucial role in the supply chain system if they can be integrated more in line with lateral transshipment policies.

