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PEOPLE@HES-SO – Annuaire et Répertoire des compétences

PEOPLE@HES-SO
Annuaire et Répertoire des compétences

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Ataç Selin

Ataç Selin

Chargée de Ra&D HES

Compétences principales

Numerical analysis and optimization

Vehicle Routing Problems

Vehicle sharing systems

Transportation and logistics

Simulation

  • Contact

  • Recherche

  • Publications

  • Conférences

  • Portfolio

Contrat principal

Chargée de Ra&D HES

Bureau: T140a

Haute école d'Ingénierie et de Gestion du Canton de Vaud
Route de Cheseaux 1, 1400 Yverdon-les-Bains, CH
HEIG-VD
Institut
IIDE - Institut Interdisciplinaire du Développement de l’Entreprise
Aucune donnée à afficher pour cette section

Terminés

Craft beer distribution

Rôle: Requérant(e) principal(e)

Financement: Innosuisse

Description du projet :

We aim optimizing the logistics of small-size artisanal breweries.

Equipe de recherche au sein de la HES-SO: Ataç Selin

Durée du projet: 12.04.2024 - 11.11.2024

Montant global du projet: 15'000 CHF

Statut: Terminé

2024

Light electric vehicle sharing systems :
Article scientifique ArODES
functional design of a comprehensive decision making solution

Nikola Obrenovic, Selin Ataç, Michel Bierlaire

Transportation Research Part A: Policy and Practice,  2024, 182, 104043

Lien vers la publication

Résumé:

The functional design of a decision support system for a state-of-the-art vehicle sharing system (VSS) inevitably includes the selection or definition of methodologies for planning and managing the observed VSS. In this paper, our focus is on an innovative VSS that utilizes light electric vehicles. Our goal is to specify the functions of a comprehensive decision making solution for such a VSS through a qualitative and systematic literature and system analysis. To achieve this goal, we rely on the holistic VSS management framework developed in our previous research. As a result of our study, we identify possible solution methodologies or algorithms for implementing functions of the designed decision making solution, and propose the necessary adjustments for their application in the case of light electric vehicles, or note any research gap. With these findings, we provide justified guidance to practitioners in creating these solutions, with the aim of reducing development time.

Light electric vehicle sharing systems: Functional design of a comprehensive decision making solution
Article scientifique

Nikola Obrenović, Ataç Selin, Michel Bierlaire

Transportation Research Part A, 2024 , vol.  182, pp.  1-11

Lien vers la publication

Résumé:

The functional design of a decision support system for a state-of-the-art vehicle sharing system (VSS) inevitably includes the selection or definition of methodologies for planning and managing the observed VSS. In this paper, our focus is on an innovative VSS that utilizes light electric vehicles. Our goal is to specify the functions of a comprehensive decision making solution for such a VSS through a qualitative and systematic literature and system analysis. To achieve this goal, we rely on the holistic VSS management framework developed in our previous research. As a result of our study, we identify possible solution methodologies or algorithms for implementing functions of the designed decision making solution, and propose the necessary adjustments for their application in the case of light electric vehicles, or note any research gap. With these findings, we provide justified guidance to practitioners in creating these solutions, with the aim of reducing development time.

2023

Demand-based Operations of Vehicle Sharing Systems
Thèse de doctorat

Ataç Selin

2023,  Lausanne, Switzerland : EPFL.  199  p.

Obrenović Nikola, Bierlaire Michel

Lien vers la publication

Résumé:

Vehicle sharing systems (VSSs) allow users to rent vehicles for a short period of time, in a more flexible and convenient manner compared to the traditional vehicle rental services. The long-term VSS subscription replaces the need for contract signing for each rental, while the vehicle stations are located more frequently than the rental offices. They are also convenient from the user perspective as they waive the fixed cost of owning a car as well as maintaining it. Furthermore, increasing global greenhouse gas emissions brings concerns about the mobility habits, such as inefficient usage of personalized transportation. Therefore, the literature focuses on these systems to optimize their operations to make them convenient for both users and operators. In this thesis, we focus on simulation-optimization frameworks that allow us to investigate the mutual influences between the system characteristics and operations of VSS. We first present a generalized and holistic VSS management framework that is applicable to a system using any vehicle type. We conduct a systematic and extensive literature review and we position the literature in line with the framework. We also report the possible research directions that are suggested by the authors of the reviewed papers and the studies that address those. This allows us to identify the gaps in the literature and interesting research avenues. Following the findings from the extensive literature review, we investigate the added value of data collection and demand forecasting in bike sharing systems. We design a simulation-optimization framework to account for both supply and demand sides of the system. In this scope, a discrete-event simulator to represent real-life is developed. We improve an optimization model from the literature, that solves routing of static rebalancing operations, and incorporate clustering to be able to solve large-size instances. With the developed framework, experiments are conducted on one synthetic with 35 stations and four real-life case studies of various sizes, with 21, 298, 681, and 1361 stations, respectively. We conclude that trip demand forecasting does not necessarily improve the level of service in smaller-size, whereas this becomes more significant in larger-size bike sharing systems. Finally, we enhance the simulation-optimization framework to support one-way car sharing systems and evaluate different rebalancing operations strategies. We also enrich the framework with the state-of-the-art simulation module, i.e., Multi-Agent Transport Simulation (MATSim), which allows us to include disaggregate demand in our framework. This way, we can investigate individualistic behavior in car sharing usage. The rebalancing operations are determined in the optimization module following a heuristic approach. We observe that conducting rebalancing operations increases the number of rentals under specific scenarios where agents follow similar activities every day. The level of service obtained by the simple rebalancing operations strategies does not significantly change from one strategy to the other. All in all, we aim to aid the decision maker in taking actions for their strategic and tactical decisions with the insights obtained in the course of the research conducted in this thesis. Furthermore, the generated decision-making frameworks can be used in different case studies and provide guidance for the decision makers when supplied with the concrete system characteristics.

The Crop Plant Scheduling Problem
Chapitre de livre

Nikola Obrenović, Ataç Selin, Stefano Bortolomiol, Sanja Brdar, Oskar Marko, Vladimir Crnojević

,  Optimization and Decision Science: Operations Research, Inclusion and Equity. 2023,  Florence, Italy : Springer

Lien vers la publication

Résumé:

With the increase in world population, the efficient production of food becomes an ever more important goal. One of the particular tasks associated with this goal is to find an optimal crop planting time, considering the allowed planting time windows and the following objectives: (1) weekly harvest must not surplus the available storage capacity and produce waste, and (2) the labor force should be utilized in an efficient manner. To tackle this problem, we define the crop plant scheduling problem (CPSP), in the form of mixed integer linear problem, and solve it with a commercial mathematical programming solver. To estimate the harvest time, we also predict the time needed for accumulation of the sufficient amount of growing degree units (GDUs), using an ARIMA model. In this paper, we present the developed GDU forecasting and CPSP models, and the obtained results for the two selected problem instances.

2022

A General Framework to Evaluate Different Rebalancing Operations Strategies in One-Way Car Sharing Systems
Article scientifique

Ataç Selin, Nikola Obrenović, Michel Bierlaire

Operations Research Proceedings 2022, 2022 , pp.  463-469

Lien vers la publication

Résumé:

Car sharing systems (CSSs) are one of the environmentally beneficial solutions in urban transportation. However, the operators still struggle to make these systems profitable. One of the main contributors in operational cost is rebalancing operations. Therefore, it is important to identify strategies that are tailored according to the needs of the considered system. To overcome this challenge, this work proposes a simulation-optimization framework that compares different rebalancing operations strategies in one-way station-based car sharing systems in terms of cost and level of service. The simulation module utilizes the Multi-Agent Transport Simulation Toolkit (MATSim) whilst the rebalancing operations are determined in the optimization module. The framework allows us to explore the different uncertainties that can occur in the system, such as fluctuations in trip demand thanks to the MATSim. The results of the framework help the operator to better analyze the system and the best rebalancing strategy under different scenarios.

2021

Vehicle sharing systems: A review and a holistic management framework
Article scientifique

Ataç Selin, Nikola Obrenović, Michel Bierlaire

EURO Journal on Transportation and Logistics, 2021 , vol.  10

Lien vers la publication

Résumé:

Although different vehicle sharing systems (VSSs) use different vehicle types, the management challenges and optimization problems to be solved are similar or even the same. This observation led us to create a generalized and holistic VSS management framework, which aims to be applicable to the system using any vehicle type. The framework components, their mutual relationships, and framework tasks have been identified through a thorough and systematic literature review. Furthermore, the literature is positioned in the line with the framework. Finally, the framework and systematic literature review allowed us to identify gaps in the literature, and interesting research avenues.

2019

A Holistic Decision Making Framework for a Vehicle Sharing System
Chapitre de livre

Ataç Selin, Nikola Obrenović, Michel Bierlaire

,  Communications in Computer and Information Science. 2019,  Cham : Springer

Lien vers la publication

Résumé:

The vehicle sharing systems (VSSs) are becoming more and more popular due to both financial and environmental effects. On the other hand, they face many challenges, such as inventory management of the vehicles and parking spots, imbalance of the vehicles, pricing strategies, and demand forecasting. If these are not addressed properly, the system experiences a significant loss of customers and therefore revenue. Although efficient methods to solve these problems are well-studied in the literature, there does not exist any work in the literature which considers a VSS as a whole, and identifies and analyzes all of its components and their relations, to the best of our knowledge. Therefore, this work provides a new framework for a VSS management from a wider perspective by addressing the components and their relations with the inclusion of a time dimension. The proposed framework is aimed to apply for any kind of VSS. After addressing as many problems as possible related to a VSS, we will focus on the application of the framework to the light electric vehicle (LEV) sharing system.

2024

Optimizing brownfield rehabilitation: A framework for sustainable urban redevelopment
Conférence

Ataç Selin, Chevallier Benjamin, De Lapparent Matthieu

International Conference on Operations Research (OR'24), 02.09.2024 - 05.09.2024, Munich, Germany

Lien vers la conférence

Résumé:

The valorization of brownfields presents a significant challenge in urban redevelopment, as decisions in this domain involve a trade-off between environmental sustainability and financial feasibility. Our study, focusing on three sites in Switzerland, introduces a comprehensive framework integrating operations research methodologies to optimize the rehabilitation process of such sites. Within this framework, we identify key cost components related to transportation and rehabilitation expenses, which include routing, vehicle, tool, material, inventory, and recycling costs. Our framework finds the most efficient strategy while considering (i) spatial constraints, i.e., the location of sites and recycling facilities, (ii) technical constraints, i.e., the facility and vehicle capacities, and (iii) financial constraints, i.e., budget. By developing a mixed-integer linear programming model, we aim to provide the optimal assignment of materials between brownfield sites and recycling facilities, and the vehicle routing of material transportation. The results of this research are planned to be integrated into a brownfield rehabilitation framework that benefits from circular economy practices in construction, proposing incentives to promote sustainability.

Brewing Together: Collaborative Solutions for Sustainable Craft Beer Distribution in Switzerland
Conférence

Ataç Selin

20th Swiss Operations Research Days, 27.06.2024 - 28.06.2024, Geneva, Switzerland

Lien vers la conférence

Résumé:

The rise of small craft breweries in Switzerland has led to increased fixed costs, especially in distribution. This study aims to address the associated inefficiencies and environmental impacts due to the current individual brewery distribution practice. We aim to identify practical solutions to optimize distribution processes. Through transportation and route optimization expertise, we propose a collaborative platform for breweries to collectively address distribution needs, promising cost reduction and environmental benefits. The preliminary study, focusing on brewery Sermaret, anticipates significant reductions in both operational costs and carbon emissions.

Bike Sharing Systems: The Impact of Precise Trip Demand Forecasting on Operational Efficiency in Different City Structures
Conférence

Ataç Selin, Nikola Obrenović, Michel Bierlaire

12th Symposium of the European Association for Research in Transportation (hEART), 18.06.2024 - 20.06.2024, Helsinki, Finland

Lien vers la conférence

Résumé:

Increasing environmental concerns drive interest in sustainable solutions in several fields. Vehicle sharing systems offer one such solution in transportation, although they pose operational challenges like vehicle imbalance. Existing studies focus on optimizing rebalancing operations through demand forecasting in one-way station-based bike sharing systems (BSSs). However, none explore the added value of precise trip demand forecasting. Due to the exhaustive and costly nature of data collection, this study aims to assess the worth of collecting data and developing trip demand forecasting models. To do that, we create a simulation-optimization framework, where we represent a city BSS in operation during the day using a discrete-event simulator and evaluate rebalancing operations by improving a mathematical model from the literature. To handle larger-size case studies, clustering is employed in the optimization module, dividing the problem into sub-problems. We consider two main scenarios for our computational experiments: perfect demand forecast and unknown future demand. These scenarios allow the framework to determine the trade-off between lost demand and rebalancing costs, to assess demand forecasting benefits, and to identify the upper limit of the budget for precise trip demand forecasting. Subsequently, we conduct experiments on one synthetic with 35 stations and four real-life case studies, namely, two small-sized ones with 21 and 298 stations and two large-sized ones with 681 and 1361 stations. Experiments reveal that trip demand forecasting has varying impacts on small and large bike-sharing systems. Our findings emphasize the importance of demand forecasting in large systems, offering valuable insights for operators in enhancing service levels and optimizing resource allocation.

Exploring electric vehicle charging dynamics :
Conférence ArODES
literature review and future framework

Selin Ataç, Matthieu de Lapparent

Proceedings of the 24th Swiss Transport Research Conference (STRC)

Lien vers la conférence

Résumé:

While fossil fuels currently dominate the energy landscape, the anticipated widespread transition to electric vehicles (EVs) in the near future introduces challenges related to infrastructure development and changing mobility patterns. This study explores the obstacles and possibilities associated with the increasing use of EVs and the essential charging station infrastructure. In contrast to studies relying on aggregated data, this work emphasizes the significance of analyzing individual user behaviors, trip characteristics, and socio-economic contexts based on microeconomic foundations. In this work, we provide a literature review and reveal four key dimensions within the EV landscape: (i) competition between users and energy providers, (ii) user travel behavior by integrating discrete choice modeling, (iii) trip chain modeling to understand trip purposes and their relationship to charging station infrastructure, and (iv) optimization of charging station location and allocation to meet user needs. After positioning the existing works in the proposed framework, we finally identify research gaps based on the framework, suggest potential research directions, and provide a comprehensive view of the evolving EV landscape.

Bike sharing systems :
Conférence ArODES
the impact of precise trip demand forecasting on operational efficiency in different city structures

Selin Ataç, Nikola Obrenovic, Michel Bierlaire

Proceedings of 12th Symposium of the European Association for Research in Transportation

Lien vers la conférence

Résumé:

Growing environmental concerns drive interest in sustainable solutions, with vehicle sharing systems addressing transportation needs. Existing studies focus on operational level challenges in one-way station-based bike sharing systems (BSSs), neglecting the added value of precise trip demand forecasting. This study assesses the worth of data collection and trip demand forecasting models. A simulation-optimization framework is created. Simulation module consists of a discrete-event simulator, representing a city BSS. Optimization module optimizes the relocation routes for rebalancing operations where clustering is used for computational efficiency. We experiment on extreme and intermediate scenarios using case studies from four city BSSs, different in location and size, that reveal varying impacts of trip demand forecasting on small- and large-scale sys- tems. Findings emphasize the importance of demand forecasting in large-scale systems, offering insights for operators to enhance service levels, to optimize resource allocation, and to identify the maximum budget to allocate for trip demand forecasting.

Exploring electric vehicle charging dynamics: Literature review and future framework
Conférence

Ataç Selin, De Lapparent Matthieu

24th Swiss Transport Research Conference, 15.05.2024 - 17.05.2024, Ascona, Switzerland

Lien vers la conférence

Résumé:

While fossil fuels currently dominate the energy landscape, the anticipated widespread transition to electric vehicles (EVs) in the near future introduces challenges related to infrastructure development and changing mobility patterns. This study explores the obstacles and possibilities associated with the increasing use of EVs and the essential charging station infrastructure. In contrast to studies relying on aggregated data, this work emphasizes the significance of analyzing individual user behaviors, trip characteristics, and socio-economic contexts based on microeconomic foundations. In this work, we provide a literature review and reveal four key dimensions within the EV landscape: (i) competition between users and energy providers, (ii) user travel behavior by integrating discrete choice modeling, (iii) trip chain modeling to understand trip purposes and their relationship to charging station infrastructure, and (iv) optimization of charging station location and allocation to meet user needs. After positioning the existing works in the proposed framework, we finally identify research gaps based on the framework, suggest potential research directions, and provide a comprehensive view of the evolving EV landscape.

2023

Integrating MATSim and rebalancing operations strategies in car sharing systems: Case studies from Switzerland
Conférence

Ataç Selin, Nikola Obrenović, Michel Bierlaire

23rd Swiss Transport Research Conference, 10.05.2023 - 12.05.2023, Ascona, Switzerland

Lien vers la conférence

2022

A general framework to evaluate different rebalancing operations strategies in one-way car sharing systems
Conférence

Ataç Selin, Nikola Obrenović, Michel Bierlaire

International Conference on Operations Research (OR 2022), 06.09.2022 - 09.09.2022, Karlsruhe, Germany

Lien vers la conférence

Résumé:

Car sharing systems (CSSs) are one of the environmentally beneficial solutions in urban transportation. However, the operators still struggle to make these systems profitable. One of the main contribu- tors in operational cost is rebalancing operations. Therefore, it is im- portant to identify strategies that are tailored according to the needs of the considered system. To overcome this challenge, this work proposes a simulation-optimization framework that compares different rebalanc- ing operations strategies in one-way station-based car sharing systems in terms of cost and level of service. The simulation module utilizes the Multi-Agent Transport Simulation Toolkit (MATSim) whilst the re- balancing operations are determined in the optimization module. The framework allows us to explore the different uncertainties that can occur in the system, such as fluctuations in trip demand thanks to the MAT- Sim. The results of the framework help the operator to better analyze the system and the best rebalancing strategy under different scenarios.

Evaluation of demand forecasting in bike sharing systems: A general framework and selected case studies
Conférence

Ataç Selin, Nikola Obrenović, Michel Bierlaire

11th Triennial Symposium on Transportation Analysis (TRISTAN XI), 19.06.2022 - 25.06.2022, Mauritius Island

Lien vers la conférence

Comparing different rebalancing operations strategies in car sharing systems: A generic optimization framework
Conférence

Ataç Selin, Nikola Obrenović, Michel Bierlaire

18th Swiss Operations Research Days, 02.06.2022 - 03.06.2022, Winterthur, Switzerland

Lien vers la conférence

Evaluating different strategies to solve rebalancing operations in car sharing systems
Conférence

Ataç Selin, Nikola Obrenović, Michel Bierlaire

22nd Swiss Transport Research Conference (STRC), 18.05.2022 - 20.05.2022, Ascona, Switzerland

Lien vers la conférence

Résumé:

Car sharing (CS) services have become popular due to their financial and environmental benefits. The CS operators have offered flexibility by allowing one-way trips which resulted in vehicle imbalance in the service area. They have then introduced rebalancing operations to reduce the imbalance, and thus, to increase the level of service. The methods studied in the literature focus on forecasting the demand to determine the rebalancing strategy. This work proposes a framework which compares different strategies to solve rebalancing operations in one-way station-based car sharing systems in terms of cost and level of service. One of the crucial components of this framework is a demand model that represents the daily flow in the network. Instead of collecting the trip demand data, we feed the trip demand output of Multi-Agent Transport Simulation Toolkit (MATSim) as an input to our framework. This also allows us to explore the different uncertainties that can occur in the system, such as fluctuations in trip demand. The results of the framework help the decision maker to better analyze the system and choose the best rebalancing strategy under different scenarios.

2021

Designing a MATSim environment for a one-way car sharing system as a transport mode
Conférence

Ataç Selin, Nikola Obrenović, Michel Bierlaire

INFORMS Annual Meeting 2021, 24.10.2021 - 27.10.2021, Anaheim, California, United States

Lien vers la conférence

A multi-objective approach for station clustering in bike sharing systems
Conférence

Ataç Selin, Nikola Obrenović, Michel Bierlaire

21st Swiss Transport Research Conference (STRC), 12.09.2021 - 14.09.2021, Ascona, Switzerland

Lien vers la conférence

Résumé:

Increasing environmental concerns direct people to more sustainable solutions in all fields. In transportation, one of those solutions is vehicle sharing systems. Although these systems are convenient for the users, it creates many operational challenges, such as imbalance of the vehicles throughout the service area. Usually, staff-based rebalancing operations are conducted to maintain the balance, thus to provide higher level of service. These operations become difficult to solve with the increasing number of stations. Therefore, some heuristic approaches such as clustering are used to split the problem into smaller sub problems. This paper focuses on bike sharing systems with static rebalancing operations. Two multi-objective mathematical models are specifically crafted for the rebalancing-oriented clustering problem. These models and two agglomerative hierarchical clustering approaches are compared with respect to resulting cost of rebalancing operations.

Bike Sharing Systems: Does demand forecasting yield a better service?
Conférence

Ataç Selin, Nikola Obrenović, Michel Bierlaire

9th Symposium of the European Association for Research in Transportation (hEART), 03.02.2021 - 04.02.2021, Lyon, France

Lien vers la conférence

Résumé:

Although the idea of vehicle sharing systems (VSSs) emerged back in 1940s, sustaining such a system became simpler with the improvements in tech- nology in the past decade. In addition to that, people have become more concerned about environmental effects and try to find solutions on reducing emission and energy consumption. On the other hand, VSSs require effort to make them profitable. In this paper, we focus on the two of the oper- ational level challenges, which are the demand forecasting and routing for the rebalancing operations, in a one-way station-based bike sharing system (BSS). Since the data collection is exhaustive and costly, we would like to find the answer to whether it is worth to collect data and develop demand prediction models. In order to do that, we create a simulation of a city BSS in operation during the day. Then, using a mathematical model from the literature, we assess the rebalancing costs under two scenarios: one where we assume the perfect demand forecast, and the other where the future de- mand is unknown. By this way, we determine the trade-off between the lost demand and the rebalancing cost under the mentioned scenarios, and assess the benefit of forecasting the demand. Lastly, we present a case study on the Swiss BSS named PubliBike.

2020

Vehicle Sharing Systems: Does demand forecasting yield a better service?
Conférence

Ataç Selin, Nikola Obrenović, Michel Bierlaire

20th Swiss Transport Research Conference (STRC), 13.05.2020 - 14.05.2020, Ascona, Switzerland

Lien vers la conférence

Résumé:

Although the idea of vehicle sharing systems (VSSs) emerges back in 1940s, sustaining such a system became simpler with the improvements in technology in the past decade. In addition to that, people have become more concerned about environmental effects and try to find solutions on reducing emission and energy consumption. On the other hand, VSSs require effort to make them profitable. In this paper, we focus on the two of the operational level challenges, which are the demand forecasting and routing for the rebalancing operations, in a one-way station-based bike sharing system (BSS). Since the data collection is exhaustive and costly, we would like to find the answer to whether it is worth to collect data and develop demand prediction models. In order to do that, we create a simulation of a city BSS in operation during the day. Then, using a mathematical model from the literature, we assess the rebalancing costs under two scenarios: one where we assume the perfect demand forecast, and the other where the future demand is unknown. By this way, we determine the trade-off between the lost demand and the rebalancing cost under the mentioned scenarios, and assess the benefit of forecasting the demand. Lastly, we present a case study on the Swiss BSS named PubliBike.

2019

A new framework for a vehicle sharing system
Conférence

Ataç Selin, Nikola Obrenović, Michel Bierlaire

International Conference on Operations Research (OR 2019), 03.09.2019 - 06.09.2019, Dresden, Germany

Lien vers la conférence

An optimization framework for a light electric vehicle sharing system
Conférence

Ataç Selin, Nikola Obrenović, Michel Bierlaire

30th European Conference on Operational Research, 23.06.2019 - 26.06.2019, Dublin, Ireland

Lien vers la conférence

A framework for a vehicle sharing system
Conférence

Ataç Selin, Nikola Obrenović, Michel Bierlaire

17th Swiss Operations Research Days, 06.06.2019 - 07.06.2019, Lausanne, Switzerland

Lien vers la conférence

An optimization framework for light electric vehicle sharing systems
Conférence

Ataç Selin, Nikola Obrenović, Michel Bierlaire

19th Swiss Transport Research Conference (STRC), 15.05.2019 - 17.05.2019, Ascona, Switzerland

Lien vers la conférence

Résumé:

The vehicle sharing systems (VSSs) are becoming more and more popular due to both financial and environmental effects. On the other hand, they face many challenges, such as inventory management of the vehicles and parking spots, imbalance of the vehicles, determining pricing strategies, and demand forecasting. If these are not addressed properly, the system experiences a significant loss of customers and therefore revenue. This work provides a framework for a VSS management from a wider perspective by addressing the components and their relations with the inclusion of a time dimension. The proposed framework is aimed to be applicable for any kind of VSS. After identifying as many problems as possible related to a VSS, the future work will focus on the application of the framework to a light electric vehicle (LEV) sharing system.

2016

Integer programming and heuristic approaches for the dominating tree problem
Conférence

Ataç Selin, Mustafa Kemal Tural

28th European Conference on Operational Research, 03.07.2016 - 06.07.2016, Poznań, Poland

Lien vers la conférence

Réalisations

2021

EPFL EDCE Mobility Award

 2021 ; Award

Collaborateurs: Ataç Selin

Lien vers la réalisation

Scholarship for a 5-month visit to the New York University

2016

METU Graduate Courses Best Performance Award

 2016 ; Award

Collaborateurs: Ataç Selin

Top scoring student in the department

2013

3rd prize in Tübitak Bachelor Students Software Development Projects Contest

 2013 ; Award

Collaborateurs: Ataç Selin

Project titled Conference Management and Hosting System

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