Dr. Shohre Zehtabian
Dr. Shohre Zehtabian
Lehrstuhl BWL, insb. Management Science
Since 06/2023 |
Research associate, Chair of Management Science, Otto-von-Guericke University Magdeburg |
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2023 |
PhD in Economics and Business Economics, Department of Economics and Business Economics, Aarhus University, Denmark |
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02/2020 - 01/2023 |
PhD fellow, Department of Economics and Business Economics, Aarhus University, Denmark |
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01/2020 |
Research assistant, Department of Economics and Business Economics, Aarhus University, Denmark |
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10/2019 - 12/2019 |
Visiting scholar, Department of Economics and Business Economics, Aarhus University, Denmark |
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11/2017 - 02/2019 |
Senior data scientist & Product owner, Search and Knowledge–Data Department, Yellow Pages, Montréal, Québec, Canada |
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02/2017 - 10/2017 |
Analyst, Business Solutions–Client Experience Center, Immigration and Citizenship Canada, Montréal, Québec, Canada |
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2016 |
Master of Science in Computer Science, Computer Science and Operations Research Department, Université de Montréal, Canada |
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04/2016 - 08/2016 |
Data science intern, Client Insights and Analytics–Marketing Strategies, National Bank of Canada, Montréal, Québec, Canada |
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2009 |
Master of Science in Applied Mathematics, Department of Mathematical Sciences, Sharif University of Technology, Tehran, Iran |
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2006 |
Bachelor of Science in Applied Mathematics, Faculty of Sciences, Razi University, Kermanshah, Iran |
For a full list of publications, please check my Google Scholar page.
2024
Peer-reviewed journal article
A fair multi-commodity two-echelon distribution problem
Zehtabian, Shohre
In: EURO journal on transportation and logistics - Amsterdam, Niederlande : Elsevier, Bd. 13 (2024), Artikel 100126, insges. 20 S.
2023
Peer-reviewed journal article
Point-to-point and milk run delivery scheduling: models, complexity results, and algorithms based on Benders decomposition
Emde, Simon; Zehtabian, Shohre; Disser, Yann
In: Annals of Operations Research, Springer Science and Business Media LLC, Bd. 322, Heft 1, S. 467-496
Non-peer-reviewed journal article
Consistent time window assignments for stochastic multi-depot multi-commodity pickup and delivery
Zehtabian, Shohre; Ulmer, Marlin Wolf
In: Magdeburg: Otto-von-Guericke-Universität Magdeburg: Fakultät für Wirtschaftswissenschaft, 2023, 1 Online-Ressource (38 Seiten, 2,95 MB) - (Working paper series; Otto von Guericke Universität Magdeburg, Faculty of Economics and Management; 2023, no. 2)
2022
Peer-reviewed journal article
Estimation of the arrival time of deliveries by occasional drivers in a crowd-shipping setting
Zehtabian, Shohre; Larsen, Christian; Wøhlk, Sanne
In: European Journal of Operational Research, Elsevier BV, Bd. 303, Heft 2, S. 616-632
2019
Peer-reviewed journal article
Scheduling direct deliveries with time windows to minimise truck fleet size and customer waiting times
Emde, Simon; Zehtabian, Shohre
In: International Journal of Production Research, Informa UK Limited, Bd. 57, Heft 5, S. 1315-1330
2016
Non-peer-reviewed journal article
Penalty Parameter Strategies in Progressive Hedging Algorithm
Zehtabian, Shohre; Bastin, Fabian
In: In: , Bd. , 2016--12, S. , 2016,
Current projects
Service Quality, Consistency, and Equity in Stochastic and Dynamic Distribution Networks
Duration: 01.06.2023 bis 31.03.2026
In our contemporary era, the role of logistics, which deals with the flow of goods, information, and services, as one of the pillars of the modern and globally interconnected supply chain has become more and more important. In a logistics system, transportation is one of the decision areas which has a huge impact on the overall performance of the system. The rapid increase in urbanization and technological advancement has made the management of transportation systems more complex. Decisions such as route planning have become multifaceted. The amount of cost saved or profit made has been the traditional metric for evaluating the performance of a transportation system. While this is still true, there are other factors that are intangible but have an impact on costs or profits and consequently, on the performance and sustainability of the system in the medium or long term. Such metrics include service quality, consistency, and equity.
In the context of single- and multi-echelon distribution networks of goods and agricultural produce, this project looks into the decision-making processes of pickup and delivery problems that take into account these three metrics in presence of uncertainty and dynamism in the availability of data . Solution strategies are suggested as a combination of stochastic programming/modeling techniques and combinatorial optimization methods.
- PhD school scholarship, Danish Operational Research Society, Denmark, 2022
- Graduate student funding, Canadian Operational Research Society, Canada, 2016
- Graduate excellence award, Computer Science and Operations Research Department, Université de Montréal, Canada, 2014