Dr. Sandra Zajac
Dr.
Sandra
Zajac
Senior Researcher
Room: NB-218
Postal Address
Catholic University of Eichstätt-Ingolstadt
Auf der Schanz 49
85049 Ingolstadt
Catholic University of Eichstätt-Ingolstadt
Auf der Schanz 49
85049 Ingolstadt
Office hours
on request
on request
Education
- Since 02/2023 Senior Researcher at the Chair of Supply Chain Management & Operations at Catholic University Eichstätt-Ingolstadt
- 10/2019 – 01/2023 IT-Business Analyst, Department of Big Data & Optimierung and Strategische Supply Chain Optimierung, Rewe digital
- 04/2019 Dissertation about Innovative heuristic solution approaches for transportation planning at different decision levels
- 10/2014 – 08/2019 Research Associate at the Chair of Logistics Management, Helmut-Schmidt-Universität, and the Chair of Operations Research, Ruhr-Universität Bochum
- 10/2008 – 03/2014 Bachelor and Master in Management and Economics at Ruhr-Universität Bochum with an exchange semester at the Macquarie University in Sydney, Australien
Research Focus
- Sortiments- und Regalplatzplanung
- Fragestellungen im Lebensmitteleinzelhandel
- Heuristische Lösungsverfahren für Tourenplanungsprobleme
Publications
- Zajac, S.; Huber, S. (2021): Objectives and methods in multi-objective routing problems: a survey and classification scheme, European Journal of Operational Research, 290(1), S. 1-25,
doi: 10.1016/j.ejor.2020.07.005 - Becker, T.; Zajac, S.; Steenweg, P.M.; Imhoff, L.; Block, J.S. (2019): Multi-level departments-to-offices assignment with different room types, Computers & Operations Research, 110, S. 60-76,
doi: 10.1016/j.cor.2019.05.015 - Zajac, S. (2018): On a two-phase solution approach for the bi-objective k-dissimilar vehicle routing problem, Journal of Heuristics, 24, S. 515-550,
doi:10.1007/s10732-017-9341-1 - Zajac, S. (2017): An adaptive large neighborhood search for the periodic vehicle routing problem, in: Bektaş T., Coniglio S., Martinez-Sykora A., Voß S. (Hrsg.) Computational Logistics. ICCL 2017. Lecture Notes in Computer Science, vol 10572. Springer, Cham, S. 34-48,
doi:10.1007/978-3-319-68496-3_3 - Zajac, S. (2017): Zur Bestimmung von unteren Schranken im bikriteriellen k-unähnlichen Tourenplanungsproblem, in: T. Spengler, W. Fichtner, H. Rommelfanger, M. J. Geiger, O. Metzger (Hrsg.): Entscheidungsunterstützung in Theorie und Praxis. Springer Gablr, Wiesbaden, S. 37–61,
doi:10.1007/978-3-658-17580-1_3 - Zajac, S. (2016): The Bi-Objective k-Dissimilar Vehicle Routing Problem, in: A. Paias, M. Ruthmair, S. Voß (Hrsg.): Computational Logistics. ICCL 2016. Lecture Notes in Computer Science, vol. 9855. Springer, Cham, S. 306-320, doi:10.1007/978-3-319-44896-1_20
Academic Presentations (Selection)
- A multi-phase optimization algorithm for shelf space planning in the non-food area of grocery stores, Tagung der WK Operations Research, Heilbronn, 09.02.2023
- Determining unpredictable routes for reasons of security, EURO 2018, Valencia, Spanien, 11.07.2018
- Increasing the unpredictability of routes to decrease the risk of assault, Gemeinsame Tagung der AG Wirtschaftsinformatik (GOR) und der WK Operations Research (VHB), Frankfurt (Oder), 08.02.2018
- An adaptive large neighborhood search for the periodic vehicle routing problem, The 8th International Conference on Computational Logistics (ICCL’17), Southampton, Großbrittanien, 20.10.2017
- A solution approach for the k-dissimilar vehicle routing problem with practical requirements, Operations Research 2017, Berlin, 07.09.2017
- The bi-objective k-dissimilar vehicle routing problem, The 7th International Conference on Computational Logistics (ICCL'16), Lissabon, Portugal, 09.09.2016
- The Impact of Data Structure in the Bi-objective k-Dissimilar Vehicle Routing Problem, Operations Research 2016, Hamburg, 01.09.2016
- A Two-Phase Heuristic Approach for the Biobjective k-Dissimilar Vehicle Routing Problem, VeRoLog 2016, Nantes, Frankreich, 08.06.2016
- The bi-objective k-dissimilar vehicle routing problem, The 17th EU/ME Workshop on "Design and Analysis of Metaheuristics", Antwerpen, Belgien, 18.03.2016
- Das bikriterielle k-unähnliche Tourenplanungsproblem - Analyse des Zielkonflikts sowie verschiedener Unähnlichkeitsmaße, Gemeinsamer Workshop der Arbeitsgruppen Fuzzy Systeme, Neuronale Netze und Künstliche Intelligenz, Entscheidungstheorie und -praxis und OR im Umweltschutz (FEU 2016), Otto-von-Guericke Universität in Magdeburg, 10.03.2016