Postal Address
Catholic University of Eichstätt-Ingolstadt
Auf der Schanz 49
85049 Ingolstadt
Office hours
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